anonymous-submission-acl2025 commited on
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54/paper.pdf ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:8ab95e6340e1ea107d4dcb67ffe6b491b67631c0e1fce8cf7a84954dc6df891a
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+ size 1311362
54/replication_package/Codes for Replication.do ADDED
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1
+
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+ *** Note that the path should be manually set to where the downloaded data files are stored. Figures and tables will be saved in the Results folder.
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+
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+ use "C:\Users\Steven Guo\Nutstore\1\Famine\EJ\4th\Replication package\Data for Replication.dta", clear
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+ cd "C:\Users\Steven Guo\Nutstore\1\Famine\EJ\4th\Replication package\Results"
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+
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+
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+ *** Install packages ***
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+
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+ ssc install logout
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+ ssc install reghdfe
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+ ssc install outreg2
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+ ssc install coefplot
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+ * The package for ols_spatial_HAC can be downloaded at https://www.dropbox.com/s/pf2vtvgqhjk7rc8/spatial_HAC.zip?dl=0 and should be stored in the stata ado file folders.
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+
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+
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+ *** Figure 1 ***
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+
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+ preserve
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+ sort cps
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+ drop if cps == cps[_n-1]
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+ bysort birthyr: egen ncps = count(cps)
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+ sort birthyr
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+ drop if birthyr == birthyr[_n-1]
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+ graph twoway bar ncps birthyr, xtitle("Year of birth") ytitle("Number of CPS")
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+ graph export "figure_1.png", as(png) name("Graph")
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+ restore
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+
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+
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+ *** Table 1 ***
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+
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+ logout, save(table_1) tex replace: tabstat male age eduyear minor maxterm famineseverity born4960 born5560 lexpen_agri lexpen_secu lrevenue_agri lgrain lgdp1998 lpopulation1998 lexpenditure1998 lrevenue1998, stats(mean sd min max N) c(s) f(%10.2f)
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+
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+
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+ *** Table 2 ***
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+
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+ * coefficients
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+ reghdfe lexpen_agri c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
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+ gen samplea1 = e(sample)
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+
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+ outreg2 using table_2, tex replace dec(2) sortvar(c.famineseverity#c.born4960 c.famineseverity#c.born4954 c.famineseverity#c.born5560) addstat(Number of work counties, `e(N_clust)', Adjusted R-squared, `e(r2_a)', Within R-squared, `e(r2_within)')
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+
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+ reghdfe lexpen_agri c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
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+ gen samplea2 = e(sample)
45
+
46
+ outreg2 using table_2, tex append dec(2) sortvar(c.famineseverity#c.born4960 c.famineseverity#c.born4954 c.famineseverity#c.born5560) addstat(Number of work counties, `e(N_clust)', Adjusted R-squared, `e(r2_a)', Within R-squared, `e(r2_within)')
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+
48
+ reghdfe lexpen_agri c.famineseverity#c.born4954 c.famineseverity#c.born5560 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
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+ outreg2 using table_2, tex append dec(2) sortvar(c.famineseverity#c.born4960 c.famineseverity#c.born4954 c.famineseverity#c.born5560) addstat(Number of work counties, `e(N_clust)', Adjusted R-squared, `e(r2_a)', Within R-squared, `e(r2_within)')
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+
51
+ reghdfe lexpen_agri c.famineseverity#c.born4954 c.famineseverity#c.born5560 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
52
+ outreg2 using table_2, tex append dec(2) sortvar(c.famineseverity#c.born4960 c.famineseverity#c.born4954 c.famineseverity#c.born5560) addstat(Number of work counties, `e(N_clust)', Adjusted R-squared, `e(r2_a)', Within R-squared, `e(r2_within)')
53
+
54
+ reghdfe lexpen_secu c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
55
+ gen samples1 = e(sample)
56
+ outreg2 using table_2, tex append dec(2) sortvar(c.famineseverity#c.born4960 c.famineseverity#c.born4954 c.famineseverity#c.born5560) addstat(Number of work counties, `e(N_clust)', Adjusted R-squared, `e(r2_a)', Within R-squared, `e(r2_within)')
57
+
58
+ reghdfe lexpen_secu c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
59
+ gen samples2 = e(sample)
60
+ outreg2 using table_2, tex append dec(2) sortvar(c.famineseverity#c.born4960 c.famineseverity#c.born4954 c.famineseverity#c.born5560) addstat(Number of work counties, `e(N_clust)', Adjusted R-squared, `e(r2_a)', Within R-squared, `e(r2_within)')
61
+
62
+ reghdfe lexpen_secu c.famineseverity#c.born4954 c.famineseverity#c.born5560 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
63
+ outreg2 using table_2, tex append dec(2) sortvar(c.famineseverity#c.born4960 c.famineseverity#c.born4954 c.famineseverity#c.born5560) addstat(Number of work counties, `e(N_clust)', Adjusted R-squared, `e(r2_a)', Within R-squared, `e(r2_within)')
64
+
65
+ reghdfe lexpen_secu c.famineseverity#c.born4954 c.famineseverity#c.born5560 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
66
+ outreg2 using table_2, tex append dec(2) sortvar(c.famineseverity#c.born4960 c.famineseverity#c.born4954 c.famineseverity#c.born5560) addstat(Number of work counties, `e(N_clust)', Adjusted R-squared, `e(r2_a)', Within R-squared, `e(r2_within)')
67
+
68
+ * means of y
69
+ sum lexpen_agri if samplea1 == 1
70
+ sum lexpen_agri if samplea2 == 1
71
+ sum lexpen_secu if samples1 == 1
72
+ sum lexpen_secu if samples2 == 1
73
+
74
+
75
+ *** Table 3 ***
76
+
77
+ * col 1: normal work counties
78
+
79
+ preserve
80
+ keep if countytype == 2
81
+
82
+ reghdfe lexpen_agri c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
83
+ outreg2 using table_3_panel_a, tex replace dec(2) keep(c.famineseverity#c.born4960) addstat(Number of work counties, `e(N_clust)', Within R-squared, `e(r2_within)')
84
+
85
+ reghdfe lexpen_secu c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
86
+ outreg2 using table_3_panel_b, tex replace dec(2) keep(c.famineseverity#c.born4960) addstat(Number of work counties, `e(N_clust)', Within R-squared, `e(r2_within)')
87
+ restore
88
+
89
+ * col 2: born in normal counties
90
+
91
+ preserve
92
+ keep if urbanborn == 0
93
+
94
+ reghdfe lexpen_agri c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
95
+ outreg2 using table_3_panel_a, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Number of work counties, `e(N_clust)', Within R-squared, `e(r2_within)')
96
+
97
+ reghdfe lexpen_secu c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
98
+ outreg2 using table_3_panel_b, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Number of work counties, `e(N_clust)', Within R-squared, `e(r2_within)')
99
+
100
+ restore
101
+
102
+ * col 3: work in only one county
103
+
104
+ preserve
105
+ keep if numberworkcounties == 1
106
+
107
+ reghdfe lexpen_agri c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
108
+ outreg2 using table_3_panel_a, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Number of work counties, `e(N_clust)', Within R-squared, `e(r2_within)')
109
+
110
+ reghdfe lexpen_secu c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
111
+ outreg2 using table_3_panel_b, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Number of work counties, `e(N_clust)', Within R-squared, `e(r2_within)')
112
+
113
+ restore
114
+
115
+ * col 4: exclude long term
116
+
117
+ preserve
118
+ keep if maxterm <= 4
119
+
120
+ reghdfe lexpen_agri c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
121
+ outreg2 using table_3_panel_a, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Number of work counties, `e(N_clust)', Within R-squared, `e(r2_within)')
122
+
123
+ reghdfe lexpen_secu c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
124
+ outreg2 using table_3_panel_b, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Number of work counties, `e(N_clust)', Within R-squared, `e(r2_within)')
125
+
126
+ restore
127
+
128
+ * col 5: shrink rate based on local residents
129
+
130
+ reghdfe lexpen_agri c.faminelocal#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
131
+ outreg2 using table_3_panel_a, tex append dec(2) keep(c.famineseverity#c.born4960 c.faminelocal#c.born4960) addstat(Number of work counties, `e(N_clust)', Within R-squared, `e(r2_within)')
132
+
133
+ reghdfe lexpen_secu c.faminelocal#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
134
+ outreg2 using table_3_panel_b, tex append dec(2) keep(c.famineseverity#c.born4960 c.faminelocal#c.born4960) addstat(Number of work counties, `e(N_clust)', Within R-squared, `e(r2_within)')
135
+
136
+
137
+ *** Table 4 ***
138
+
139
+ reghdfe lrevenue_agri c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
140
+ outreg2 using table_4, tex replace dec(2) keep(c.famineseverity#c.born4960) addstat(Number of work counties, `e(N_clust)', Within R-squared, `e(r2_within)')
141
+
142
+ reghdfe lrevenue_agri c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
143
+ outreg2 using table_4, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Number of work counties, `e(N_clust)', Within R-squared, `e(r2_within)')
144
+
145
+ reghdfe lgrain c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
146
+ outreg2 using table_4, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Number of work counties, `e(N_clust)', Within R-squared, `e(r2_within)')
147
+
148
+ reghdfe lgrain c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
149
+ outreg2 using table_4, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Number of work counties, `e(N_clust)', Within R-squared, `e(r2_within)')
150
+
151
+
152
+ *** Figure 4 ***
153
+
154
+ * generate leads and lags
155
+ preserve
156
+ tab term, gen(tm)
157
+ sort county_code year
158
+ gen tmlead1 = 0
159
+ replace tmlead1 = 1 if county_code == county_code[_n+1] & year == year[_n+1]-1 & cps != cps[_n+1] & term[_n+1] == 1
160
+ gen tmlead2 = 0
161
+ replace tmlead2 = 1 if county_code == county_code[_n+2] & year == year[_n+2]-2 & cps != cps[_n+2] & tmlead1[_n+1] == 1
162
+ gen tmlead3 = 0
163
+ replace tmlead3 = 1 if county_code == county_code[_n+3] & year == year[_n+3]-3 & cps != cps[_n+3] & tmlead2[_n+1] == 1
164
+ gen tmlead4 = 0
165
+ replace tmlead4 = 1 if county_code == county_code[_n+4] & year == year[_n+4]-4 & cps != cps[_n+4] & tmlead3[_n+1] == 1
166
+ gen tmlead5 = 0
167
+ replace tmlead5 = 1 if county_code == county_code[_n+5] & year == year[_n+5]-5 & cps != cps[_n+5] & tmlead4[_n+1] == 1
168
+ gen tmlead6 = 0
169
+ replace tmlead6 = 1 if county_code == county_code[_n+6] & year == year[_n+6]-6 & cps != cps[_n+6] & tmlead5[_n+1] == 1
170
+ gen tmlead7 = 0
171
+ replace tmlead7 = 1 if county_code == county_code[_n+7] & year == year[_n+7]-7 & cps != cps[_n+7] & tmlead6[_n+1] == 1
172
+ gen tmlead8 = 0
173
+ replace tmlead8 = 1 if county_code == county_code[_n+8] & year == year[_n+8]-8 & cps != cps[_n+8] & tmlead7[_n+1] == 1
174
+ gen tmlead9 = 0
175
+ replace tmlead9 = 1 if county_code == county_code[_n+9] & year == year[_n+9]-9 & cps != cps[_n+9] & tmlead8[_n+1] == 1
176
+ gen tmlead10 = 0
177
+ replace tmlead10 = 1 if county_code == county_code[_n+10] & year == year[_n+10]-10 & cps != cps[_n+10] & tmlead9[_n+1] == 1
178
+ gen tmlead11 = 0
179
+ replace tmlead11 = 1 if county_code == county_code[_n+11] & year == year[_n+11]-11 & cps != cps[_n+11] & tmlead10[_n+1] == 1
180
+ gen tmlead12 = 0
181
+ replace tmlead12 = 1 if county_code == county_code[_n+12] & year == year[_n+12]-12 & cps != cps[_n+12] & tmlead11[_n+1] == 1
182
+ gen tmlead13 = 0
183
+ replace tmlead13 = 1 if county_code == county_code[_n+13] & year == year[_n+13]-13 & cps != cps[_n+13] & tmlead12[_n+1] == 1
184
+
185
+ gen tm6more = 0
186
+ replace tm6more = 1 if tm6==1|tm7==1|tm8==1|tm9==1
187
+ gen tmlead4more = 0
188
+ replace tmlead4more = 1 if tmlead4==1|tmlead5==1|tmlead6==1|tmlead7==1|tmlead8==1|tmlead9==1|tmlead10==1|tmlead11==1|tmlead12==1|tmlead13==1
189
+
190
+ * plot
191
+ gen zero = 1
192
+ reghdfe lexpen_agri zero c.famineseverity#c.born4960#c.tmlead4more c.famineseverity#c.born4960#c.tmlead3 c.famineseverity#c.born4960#c.tmlead2 c.famineseverity#c.born4960#c.tm1 c.famineseverity#c.born4960#c.tm2 c.famineseverity#c.born4960#c.tm3 c.famineseverity#c.born4960#c.tm4 c.famineseverity#c.born4960#c.tm5 c.famineseverity#c.born4960#c.tm6more eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
193
+ est store agriculture
194
+
195
+ reghdfe lexpen_secu zero c.famineseverity#c.born4960#c.tmlead4more c.famineseverity#c.born4960#c.tmlead3 c.famineseverity#c.born4960#c.tmlead2 c.famineseverity#c.born4960#c.tm1 c.famineseverity#c.born4960#c.tm2 c.famineseverity#c.born4960#c.tm3 c.famineseverity#c.born4960#c.tm4 c.famineseverity#c.born4960#c.tm5 c.famineseverity#c.born4960#c.tm6more eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
196
+ est store social_security
197
+
198
+ * panel a
199
+ coefplot (agriculture) (social_security, msymbol(T)), keep(c.famineseverity#c.born4960#c.tmlead4more c.famineseverity#c.born4960#c.tmlead3 c.famineseverity#c.born4960#c.tmlead2 zero c.famineseverity#c.born4960#c.tm1 c.famineseverity#c.born4960#c.tm2 c.famineseverity#c.born4960#c.tm3 c.famineseverity#c.born4960#c.tm4 c.famineseverity#c.born4960#c.tm5 c.famineseverity#c.born4960#c.tm6more) ///
200
+ order(c.famineseverity#c.born4960#c.tmlead4more c.famineseverity#c.born4960#c.tmlead3 c.famineseverity#c.born4960#c.tmlead2 zero c.famineseverity#c.born4960#c.tm1 c.famineseverity#c.born4960#c.tm2 c.famineseverity#c.born4960#c.tm3 c.famineseverity#c.born4960#c.tm4 c.famineseverity#c.born4960#c.tm5 c.famineseverity#c.born4960#c.tm6more) yline(0) levels(90) vertical omitted ciopts(recast(rcap)) ytitle("Coefficients") xtitle("Years of term") ///
201
+ coeflabels(c.famineseverity#c.born4960#c.tmlead4more = "≤-4" c.famineseverity#c.born4960#c.tmlead3 = "-3" c.famineseverity#c.born4960#c.tmlead2 = "-2" zero = "-1" c.famineseverity#c.born4960#c.tm1 = "1" c.famineseverity#c.born4960#c.tm2 = "2" c.famineseverity#c.born4960#c.tm3 = "3" c.famineseverity#c.born4960#c.tm4 = "4" c.famineseverity#c.born4960#c.tm5 = "5" c.famineseverity#c.born4960#c.tm6more = "≥6") ylabel(0(1)3) yscale(range(0(1)3)) legend(label(2 "Agricultural") label(4 "Social security"))
202
+
203
+ graph export "figure_4_panel_a.png", as(png) name("Graph") replace
204
+
205
+ reghdfe lexpen_agri zero c.famineseverity#c.born5560#c.tmlead4more c.famineseverity#c.born5560#c.tmlead3 c.famineseverity#c.born5560#c.tmlead2 c.famineseverity#c.born5560#c.tm1 c.famineseverity#c.born5560#c.tm2 c.famineseverity#c.born5560#c.tm3 c.famineseverity#c.born5560#c.tm4 c.famineseverity#c.born5560#c.tm5 c.famineseverity#c.born5560#c.tm6more c.famineseverity#c.born4954 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
206
+ est store agriculture2
207
+
208
+ reghdfe lexpen_secu zero c.famineseverity#c.born5560#c.tmlead4more c.famineseverity#c.born5560#c.tmlead3 c.famineseverity#c.born5560#c.tmlead2 c.famineseverity#c.born5560#c.tm1 c.famineseverity#c.born5560#c.tm2 c.famineseverity#c.born5560#c.tm3 c.famineseverity#c.born5560#c.tm4 c.famineseverity#c.born5560#c.tm5 c.famineseverity#c.born5560#c.tm6more c.famineseverity#c.born4954 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
209
+ est store social_security2
210
+
211
+ * panel b
212
+ coefplot (agriculture2) (social_security2, msymbol(T)), keep(c.famineseverity#c.born5560#c.tmlead4more c.famineseverity#c.born5560#c.tmlead3 c.famineseverity#c.born5560#c.tmlead2 zero c.famineseverity#c.born5560#c.tm1 c.famineseverity#c.born5560#c.tm2 c.famineseverity#c.born5560#c.tm3 c.famineseverity#c.born5560#c.tm4 c.famineseverity#c.born5560#c.tm5 c.famineseverity#c.born5560#c.tm6more) order(c.famineseverity#c.born5560#c.tmlead4more c.famineseverity#c.born5560#c.tmlead3 c.famineseverity#c.born5560#c.tmlead2 zero c.famineseverity#c.born5560#c.tm1 c.famineseverity#c.born5560#c.tm2 c.famineseverity#c.born5560#c.tm3 c.famineseverity#c.born5560#c.tm4 c.famineseverity#c.born5560#c.tm5 c.famineseverity#c.born5560#c.tm6more) yline(0) levels(90) vertical omitted ciopts(recast(rcap)) ytitle("Coefficients") xtitle("Years of term") ///
213
+ coeflabels(c.famineseverity#c.born5560#c.tmlead4more = "≤-4" c.famineseverity#c.born5560#c.tmlead3 = "-3" c.famineseverity#c.born5560#c.tmlead2 = "-2" zero = "-1" c.famineseverity#c.born5560#c.tm1 = "1" c.famineseverity#c.born5560#c.tm2 = "2" c.famineseverity#c.born5560#c.tm3 = "3" c.famineseverity#c.born5560#c.tm4 = "4" c.famineseverity#c.born5560#c.tm5 = "5" c.famineseverity#c.born5560#c.tm6more = "≥6") ylabel(0(1)3) yscale(range(0(1)3)) legend(label(2 "Agricultural") label(4 "Social security"))
214
+
215
+ graph export "figure_4_panel_b.png", as(png) name("Graph") replace
216
+ restore
217
+
218
+
219
+ *** Figure 5 ***
220
+
221
+ preserve
222
+ forvalue i = 1949(1)1969 {
223
+ gen by`i' = 0
224
+ replace by`i' = 1 if birthyr == `i'
225
+ }
226
+
227
+ gen byb1952 = 0
228
+ replace byb1952 = 1 if birthyr <= 1952
229
+
230
+ reghdfe lexpen_agri c.famineseverity#c.byb1952 c.famineseverity#c.by1953 c.famineseverity#c.by1954 c.famineseverity#c.by1955 c.famineseverity#c.by1956 c.famineseverity#c.by1957 c.famineseverity#c.by1958 c.famineseverity#c.by1959 c.famineseverity#c.by1960 c.famineseverity#c.by1961 c.famineseverity#c.by1962 c.famineseverity#c.by1963 c.famineseverity#c.by1964 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
231
+ est store m1
232
+ display (3.038+1.590+2.652+0.835+1.973+0.744)/6
233
+ display (-0.142+1.307+0.996+0.627)/4
234
+
235
+ reghdfe lexpen_secu c.famineseverity#c.byb1952 c.famineseverity#c.by1953 c.famineseverity#c.by1954 c.famineseverity#c.by1955 c.famineseverity#c.by1956 c.famineseverity#c.by1957 c.famineseverity#c.by1958 c.famineseverity#c.by1959 c.famineseverity#c.by1960 c.famineseverity#c.by1961 c.famineseverity#c.by1962 c.famineseverity#c.by1963 c.famineseverity#c.by1964 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if year >= 1998 & year <= 2007, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
236
+ est store m2
237
+ display (2.790+3.874+2.591+2.215+2.943+1.917)/6
238
+ display (2.811+1.359+1.768+0.516)/4
239
+
240
+ * panel a
241
+ coefplot m1, keep(c.famineseverity#c.byb1952 c.famineseverity#c.by1953 c.famineseverity#c.by1954 c.famineseverity#c.by1955 c.famineseverity#c.by1956 c.famineseverity#c.by1957 c.famineseverity#c.by1958 c.famineseverity#c.by1959 c.famineseverity#c.by1960 c.famineseverity#c.by1961 c.famineseverity#c.by1962 c.famineseverity#c.by1963 c.famineseverity#c.by1964) order(c.famineseverity#c.byb1951 c.famineseverity#c.byb1952 c.famineseverity#c.by1953 c.famineseverity#c.by1954 c.famineseverity#c.by1955 c.famineseverity#c.by1956 c.famineseverity#c.by1957 c.famineseverity#c.by1958 c.famineseverity#c.by1959 c.famineseverity#c.by1960 c.famineseverity#c.by1961 c.famineseverity#c.by1962 c.famineseverity#c.by1963 c.famineseverity#c.by1964) yline(0) levels(90) vertical xline(9.5) ciopts(recast(rcap)) ytitle("Coefficients") xtitle("Years of birth") ///
242
+ coeflabels(c.famineseverity#c.byb1952 = "≤1952" c.famineseverity#c.by1953 = "1953" c.famineseverity#c.by1954 = "1954" c.famineseverity#c.by1955 = "1955" c.famineseverity#c.by1956 = "1956" c.famineseverity#c.by1957 = "1957" c.famineseverity#c.by1958 = "1958" c.famineseverity#c.by1959 = "1959" c.famineseverity#c.by1960 = "1960" c.famineseverity#c.by1961 = "1961" c.famineseverity#c.by1962 = "1962" c.famineseverity#c.by1963 = "1963" c.famineseverity#c.by1964 = "1964") ylabel(-2(2)6) yscale(range(-2(2)6)) ///
243
+ addplot(function first=1.805, ra(4 9) || function second=0.697, ra(10 13))
244
+
245
+ graph export "figure_5_panel_a.png", as(png) name("Graph") replace
246
+
247
+ * panel b
248
+ coefplot m2, keep(c.famineseverity#c.byb1952 c.famineseverity#c.by1953 c.famineseverity#c.by1954 c.famineseverity#c.by1955 c.famineseverity#c.by1956 c.famineseverity#c.by1957 c.famineseverity#c.by1958 c.famineseverity#c.by1959 c.famineseverity#c.by1960 c.famineseverity#c.by1961 c.famineseverity#c.by1962 c.famineseverity#c.by1963 c.famineseverity#c.by1964) order(c.famineseverity#c.byb1951 c.famineseverity#c.byb1952 c.famineseverity#c.by1953 c.famineseverity#c.by1954 c.famineseverity#c.by1955 c.famineseverity#c.by1956 c.famineseverity#c.by1957 c.famineseverity#c.by1958 c.famineseverity#c.by1959 c.famineseverity#c.by1960 c.famineseverity#c.by1961 c.famineseverity#c.by1962 c.famineseverity#c.by1963 c.famineseverity#c.by1964) yline(0) levels(90) vertical xline(9.5) ciopts(recast(rcap)) ytitle("Coefficients") xtitle("Years of birth") ///
249
+ coeflabels(c.famineseverity#c.byb1952 = "≤1952" c.famineseverity#c.by1953 = "1953" c.famineseverity#c.by1954 = "1954" c.famineseverity#c.by1955 = "1955" c.famineseverity#c.by1956 = "1956" c.famineseverity#c.by1957 = "1957" c.famineseverity#c.by1958 = "1958" c.famineseverity#c.by1959 = "1959" c.famineseverity#c.by1960 = "1960" c.famineseverity#c.by1961 = "1961" c.famineseverity#c.by1962 = "1962" c.famineseverity#c.by1963 = "1963" c.famineseverity#c.by1964 = "1964") ylabel(-2(2)6) yscale(range(-2(2)6)) ///
250
+ addplot(function first=2.722, ra(4 9) || function second=1.614, ra(10 13))
251
+
252
+ graph export "figure_5_panel_b.png", as(png) name("Graph") replace
253
+ restore
254
+
255
+
256
+ ********************
257
+ ***** Appendix *****
258
+ ********************
259
+
260
+ *** Figure A3 ***
261
+
262
+ gen before = 1 if birthyr <= 1958 & birthyr >= 1949
263
+ gen during = 2 if birthyr <= 1961 & birthyr >= 1959
264
+ gen after = 3 if birthyr <= 1969 & birthyr >= 1962
265
+ graph bar (count) after (count) during (count) before, over(year) stack ytitle("Number of observations") legend(label(1 "With CPS born after famine") label(2 "During famine") label(3 "Before famine"))
266
+ graph export "figure_a3.png", as(png) name("Graph") replace
267
+
268
+
269
+ *** Table A1 ***
270
+
271
+ preserve
272
+ keep if year == 2007
273
+ logout, save(table_a1_row1) tex replace: tabstat pexpen_agri pgdp1 if countytype == 2, stats(mean) c(s) f(%10.2f)
274
+ logout, save(table_a1_row2) tex replace: tabstat pexpen_agri pgdp1 if countytype == 1, stats(mean) c(s) f(%10.2f)
275
+ logout, save(table_a1_row3) tex replace: tabstat pexpen_agri pgdp1 if countytype == 3, stats(mean) c(s) f(%10.2f)
276
+ logout, save(table_a1_row4) tex replace: tabstat pexpen_agri pgdp1 if countytype == 4, stats(mean) c(s) f(%10.2f)
277
+ restore
278
+
279
+
280
+ *** Table B1: other expenditures ***
281
+
282
+ reghdfe lexpen_edu c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
283
+ outreg2 using table_b1, tex replace dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
284
+
285
+ reghdfe lexpen_admin c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
286
+ outreg2 using table_b1, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
287
+
288
+ reghdfe lexpen_health c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
289
+ outreg2 using table_b1, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
290
+
291
+ reghdfe lexpen_public c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
292
+ outreg2 using table_b1, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
293
+
294
+ reghdfe lexpen_const c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
295
+ outreg2 using table_b1, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
296
+
297
+ reghdfe lexpen_rural c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
298
+ outreg2 using table_b1, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
299
+
300
+
301
+ *** Table B2: in-utero ***
302
+
303
+ reghdfe lexpen_agri c.famineseverity#c.born4958 c.famineseverity#c.born5961 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
304
+ outreg2 using table_b2, tex replace dec(2) keep(c.famineseverity#c.born4958 c.famineseverity#c.born5961) addstat(Within R-squared, `e(r2_within)')
305
+
306
+ reghdfe lexpen_agri c.famineseverity#c.born4958 c.famineseverity#c.born5961 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
307
+ outreg2 using table_b2, tex append dec(2) keep(c.famineseverity#c.born4958 c.famineseverity#c.born5961) addstat(Within R-squared, `e(r2_within)')
308
+
309
+ reghdfe lexpen_secu c.famineseverity#c.born4958 c.famineseverity#c.born5961 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
310
+ outreg2 using table_b2, tex append dec(2) keep(c.famineseverity#c.born4958 c.famineseverity#c.born5961) addstat(Within R-squared, `e(r2_within)')
311
+
312
+ reghdfe lexpen_secu c.famineseverity#c.born4958 c.famineseverity#c.born5961 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
313
+ outreg2 using table_b2, tex append dec(2) keep(c.famineseverity#c.born4958 c.famineseverity#c.born5961) addstat(Within R-squared, `e(r2_within)')
314
+
315
+
316
+ *** Table B3: monotonicity ***
317
+
318
+ reghdfe lexpen_agri c.faminetop10#c.born4960 c.faminetop50#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
319
+ outreg2 using table_b3, tex replace dec(2) keep(c.faminetop10#c.born4960 c.faminetop50#c.born4960 c.faminetop10#c.born4954 c.faminetop50#c.born4954 c.faminetop10#c.born5560 c.faminetop50#c.born5560) sortvar(c.faminetop10#c.born4960 c.faminetop50#c.born4960 c.faminetop10#c.born4954 c.faminetop50#c.born4954 c.faminetop10#c.born5560 c.faminetop50#c.born5560) addstat(Within R-squared, `e(r2_within)')
320
+
321
+ reghdfe lexpen_secu c.faminetop10#c.born4960 c.faminetop50#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
322
+ outreg2 using table_b3, tex append dec(2) keep(c.faminetop10#c.born4960 c.faminetop50#c.born4960 c.faminetop10#c.born4954 c.faminetop50#c.born4954 c.faminetop10#c.born5560 c.faminetop50#c.born5560) sortvar(c.faminetop10#c.born4960 c.faminetop50#c.born4960 c.faminetop10#c.born4954 c.faminetop50#c.born4954 c.faminetop10#c.born5560 c.faminetop50#c.born5560) addstat(Within R-squared, `e(r2_within)')
323
+
324
+ reghdfe lexpen_agri c.faminetop10#c.born4954 c.faminetop50#c.born4954 c.faminetop10#c.born5560 c.faminetop50#c.born5560 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if year >= 2003 & year <= 2007, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
325
+ outreg2 using table_b3, tex append dec(2) keep(c.faminetop10#c.born4960 c.faminetop50#c.born4960 c.faminetop10#c.born4954 c.faminetop50#c.born4954 c.faminetop10#c.born5560 c.faminetop50#c.born5560) sortvar(c.faminetop10#c.born4960 c.faminetop50#c.born4960 c.faminetop10#c.born4954 c.faminetop50#c.born4954 c.faminetop10#c.born5560 c.faminetop50#c.born5560) addstat(Within R-squared, `e(r2_within)')
326
+
327
+ reghdfe lexpen_secu c.faminetop10#c.born4954 c.faminetop50#c.born4954 c.faminetop10#c.born5560 c.faminetop50#c.born5560 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if year >= 1998 & year <= 2007, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
328
+ outreg2 using table_b3, tex append dec(2) keep(c.faminetop10#c.born4960 c.faminetop50#c.born4960 c.faminetop10#c.born4954 c.faminetop50#c.born4954 c.faminetop10#c.born5560 c.faminetop50#c.born5560) sortvar(c.faminetop10#c.born4960 c.faminetop50#c.born4960 c.faminetop10#c.born4954 c.faminetop50#c.born4954 c.faminetop10#c.born5560 c.faminetop50#c.born5560) addstat(Within R-squared, `e(r2_within)')
329
+
330
+
331
+ *** Table B4: more robustness ***
332
+
333
+ * col 1: cluster at cps level
334
+
335
+ reghdfe lexpen_agri c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl cps)
336
+ outreg2 using table_b4_panel_a, tex replace dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960new) addstat(Within R-squared, `e(r2_within)')
337
+
338
+ reghdfe lexpen_secu c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl cps)
339
+ outreg2 using table_b4_panel_b, tex replace dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960new) addstat(Within R-squared, `e(r2_within)')
340
+
341
+ * col 2: born before 1966
342
+
343
+ reghdfe lexpen_agri c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if birthyr <= 1966, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
344
+ outreg2 using table_b4_panel_a, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960new) addstat(Within R-squared, `e(r2_within)')
345
+
346
+ reghdfe lexpen_secu c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if birthyr <= 1966, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
347
+ outreg2 using table_b4_panel_b, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960new) addstat(Within R-squared, `e(r2_within)')
348
+
349
+ * col 3: famine duration
350
+
351
+ reghdfe lexpen_agri c.famineseverity#c.born4960new eduyear male minor term c.eduyear#c.born4960new c.male#c.born4960new c.minor#c.born4960new c.age#c.born4960new c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
352
+ outreg2 using table_b4_panel_a, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960new) addstat(Within R-squared, `e(r2_within)')
353
+
354
+ reghdfe lexpen_secu c.famineseverity#c.born4960new eduyear male minor term c.eduyear#c.born4960new c.male#c.born4960new c.minor#c.born4960new c.age#c.born4960new c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
355
+ outreg2 using table_b4_panel_b, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960new) addstat(Within R-squared, `e(r2_within)')
356
+
357
+ * col 4: prov-by-year FE
358
+
359
+ reghdfe lexpen_agri c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.prov_code#i.year i.age i.htcode i.birthyr) vce(cl county_code)
360
+ outreg2 using table_b4_panel_a, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960new) addstat(Within R-squared, `e(r2_within)')
361
+
362
+ reghdfe lexpen_secu c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.prov_code#i.year i.age i.htcode i.birthyr) vce(cl county_code)
363
+ outreg2 using table_b4_panel_b, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960new) addstat(Within R-squared, `e(r2_within)')
364
+
365
+ * col 5: age under 48
366
+
367
+ reghdfe lexpen_agri c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if age <= 48, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
368
+ outreg2 using table_b4_panel_a, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960new) addstat(Within R-squared, `e(r2_within)')
369
+
370
+ reghdfe lexpen_secu c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if age <= 48, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
371
+ outreg2 using table_b4_panel_b, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960new) addstat(Within R-squared, `e(r2_within)')
372
+
373
+ * col 6: county trend
374
+
375
+ bysort county_code: egen ny = count(year)
376
+ tab ny
377
+ sum ny, de
378
+
379
+ reghdfe lexpen_agri c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 if ny > 7, absorb(i.county_code i.year i.age i.htcode i.birthyr i.county_code#c.year) vce(cl county_code)
380
+ outreg2 using table_b4_panel_a, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960new) addstat(Within R-squared, `e(r2_within)')
381
+
382
+ reghdfe lexpen_secu c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 if ny > 7, absorb(i.county_code i.year i.age i.htcode i.birthyr i.county_code#c.year) vce(cl county_code)
383
+ outreg2 using table_b4_panel_b, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960new) addstat(Within R-squared, `e(r2_within)')
384
+
385
+
386
+ *** Table B5: cps characteristics ***
387
+
388
+ * col 1 edu
389
+
390
+ reghdfe lexpen_agri c.famineseverity#c.born4960 c.eduyear#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
391
+ outreg2 using table_b5, tex replace dec(2) keep(c.famineseverity#c.born4960 c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960) addstat(Within R-squared, `e(r2_within)')
392
+
393
+ * col 2 male
394
+ reghdfe lexpen_agri c.famineseverity#c.born4960 c.male#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
395
+ outreg2 using table_b5, tex append dec(2) keep(c.famineseverity#c.born4960 c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960) addstat(Within R-squared, `e(r2_within)')
396
+
397
+ * col 3 minor
398
+ reghdfe lexpen_agri c.famineseverity#c.born4960 c.minor#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
399
+ outreg2 using table_b5, tex append dec(2) keep(c.famineseverity#c.born4960 c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960) addstat(Within R-squared, `e(r2_within)')
400
+
401
+ * col 4 age
402
+ reghdfe lexpen_agri c.famineseverity#c.born4960 c.age#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
403
+ outreg2 using table_b5, tex append dec(2) keep(c.famineseverity#c.born4960 c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960) addstat(Within R-squared, `e(r2_within)')
404
+
405
+ * col 5 edu
406
+ reghdfe lexpen_secu c.famineseverity#c.born4960 c.eduyear#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
407
+ outreg2 using table_b5, tex append dec(2) keep(c.famineseverity#c.born4960 c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960) addstat(Within R-squared, `e(r2_within)')
408
+
409
+ * col 6 male
410
+ reghdfe lexpen_secu c.famineseverity#c.born4960 c.male#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
411
+ outreg2 using table_b5, tex append dec(2) keep(c.famineseverity#c.born4960 c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960) addstat(Within R-squared, `e(r2_within)')
412
+
413
+ * col 7 minor
414
+ reghdfe lexpen_secu c.famineseverity#c.born4960 c.minor#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
415
+ outreg2 using table_b5, tex append dec(2) keep(c.famineseverity#c.born4960 c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960) addstat(Within R-squared, `e(r2_within)')
416
+
417
+ * col 8 age
418
+
419
+ reghdfe lexpen_secu c.famineseverity#c.born4960 c.age#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
420
+ outreg2 using table_b5, tex append dec(2) keep(c.famineseverity#c.born4960 c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960) addstat(Within R-squared, `e(r2_within)')
421
+
422
+
423
+ *** Table B6: by cohorts ***
424
+
425
+ preserve
426
+ forvalue i = 1949(1)1969 {
427
+ gen by`i' = 0
428
+ replace by`i' = 1 if birthyr == `i'
429
+ }
430
+
431
+ gen byb1952 = 0
432
+ replace byb1952 = 1 if birthyr <= 1952
433
+
434
+ reghdfe lexpen_agri c.famineseverity#c.byb1952 c.famineseverity#c.by1953 c.famineseverity#c.by1954 c.famineseverity#c.by1955 c.famineseverity#c.by1956 c.famineseverity#c.by1957 c.famineseverity#c.by1958 c.famineseverity#c.by1959 c.famineseverity#c.by1960 c.famineseverity#c.by1961 c.famineseverity#c.by1962 c.famineseverity#c.by1963 c.famineseverity#c.by1964 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
435
+ outreg2 using table_b6, tex replace dec(2) keep(c.famineseverity#c.byb1952 c.famineseverity#c.by1953 c.famineseverity#c.by1954 c.famineseverity#c.by1955 c.famineseverity#c.by1956 c.famineseverity#c.by1957 c.famineseverity#c.by1958 c.famineseverity#c.by1959 c.famineseverity#c.by1960 c.famineseverity#c.by1961 c.famineseverity#c.by1962 c.famineseverity#c.by1963 c.famineseverity#c.by1964 c.famineseverity#c.by1949 c.famineseverity#c.by1950 c.famineseverity#c.by1951 c.famineseverity#c.by1952) addstat(Within R-squared, `e(r2_within)')
436
+
437
+ reghdfe lexpen_agri c.famineseverity#c.by1949 c.famineseverity#c.by1950 c.famineseverity#c.by1951 c.famineseverity#c.by1952 c.famineseverity#c.by1953 c.famineseverity#c.by1954 c.famineseverity#c.by1955 c.famineseverity#c.by1956 c.famineseverity#c.by1957 c.famineseverity#c.by1958 c.famineseverity#c.by1959 c.famineseverity#c.by1960 c.famineseverity#c.by1961 c.famineseverity#c.by1962 c.famineseverity#c.by1963 c.famineseverity#c.by1964 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
438
+ outreg2 using table_b6, tex append dec(2) keep(c.famineseverity#c.byb1952 c.famineseverity#c.by1953 c.famineseverity#c.by1954 c.famineseverity#c.by1955 c.famineseverity#c.by1956 c.famineseverity#c.by1957 c.famineseverity#c.by1958 c.famineseverity#c.by1959 c.famineseverity#c.by1960 c.famineseverity#c.by1961 c.famineseverity#c.by1962 c.famineseverity#c.by1963 c.famineseverity#c.by1964 c.famineseverity#c.by1949 c.famineseverity#c.by1950 c.famineseverity#c.by1951 c.famineseverity#c.by1952) addstat(Within R-squared, `e(r2_within)')
439
+
440
+ reghdfe lexpen_secu c.famineseverity#c.byb1952 c.famineseverity#c.by1953 c.famineseverity#c.by1954 c.famineseverity#c.by1955 c.famineseverity#c.by1956 c.famineseverity#c.by1957 c.famineseverity#c.by1958 c.famineseverity#c.by1959 c.famineseverity#c.by1960 c.famineseverity#c.by1961 c.famineseverity#c.by1962 c.famineseverity#c.by1963 c.famineseverity#c.by1964 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
441
+ outreg2 using table_b6, tex append dec(2) keep(c.famineseverity#c.byb1952 c.famineseverity#c.by1953 c.famineseverity#c.by1954 c.famineseverity#c.by1955 c.famineseverity#c.by1956 c.famineseverity#c.by1957 c.famineseverity#c.by1958 c.famineseverity#c.by1959 c.famineseverity#c.by1960 c.famineseverity#c.by1961 c.famineseverity#c.by1962 c.famineseverity#c.by1963 c.famineseverity#c.by1964 c.famineseverity#c.by1949 c.famineseverity#c.by1950 c.famineseverity#c.by1951 c.famineseverity#c.by1952) addstat(Within R-squared, `e(r2_within)')
442
+
443
+ reghdfe lexpen_secu c.famineseverity#c.by1949 c.famineseverity#c.by1950 c.famineseverity#c.by1951 c.famineseverity#c.by1952 c.famineseverity#c.by1953 c.famineseverity#c.by1954 c.famineseverity#c.by1955 c.famineseverity#c.by1956 c.famineseverity#c.by1957 c.famineseverity#c.by1958 c.famineseverity#c.by1959 c.famineseverity#c.by1960 c.famineseverity#c.by1961 c.famineseverity#c.by1962 c.famineseverity#c.by1963 c.famineseverity#c.by1964 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
444
+ outreg2 using table_b6, tex append dec(2) keep(c.famineseverity#c.byb1952 c.famineseverity#c.by1953 c.famineseverity#c.by1954 c.famineseverity#c.by1955 c.famineseverity#c.by1956 c.famineseverity#c.by1957 c.famineseverity#c.by1958 c.famineseverity#c.by1959 c.famineseverity#c.by1960 c.famineseverity#c.by1961 c.famineseverity#c.by1962 c.famineseverity#c.by1963 c.famineseverity#c.by1964 c.famineseverity#c.by1949 c.famineseverity#c.by1950 c.famineseverity#c.by1951 c.famineseverity#c.by1952) addstat(Within R-squared, `e(r2_within)')
445
+
446
+ restore
447
+
448
+
449
+ *** Table B7: other revenues ***
450
+
451
+ reghdfe lrevenue_business c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
452
+ outreg2 using table_b7, tex replace dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
453
+
454
+ reghdfe lrevenue_vat c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
455
+ outreg2 using table_b7, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
456
+
457
+ reghdfe lrevenue_firm c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
458
+ outreg2 using table_b7, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
459
+
460
+ reghdfe lrevenue_city c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
461
+ outreg2 using table_b7, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
462
+
463
+ reghdfe lrevenue_individual c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
464
+ outreg2 using table_b7, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
465
+
466
+
467
+ *** Table B8: agri tax after 2001 ***
468
+
469
+ reghdfe lrevenue_agri c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 if year >= 2001 & year <= 2005 & samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
470
+ outreg2 using table_b8, tex replace dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
471
+
472
+ reghdfe lrevenue_agri c.famineseverity#c.born4960 eduyear male minor term c.eduyear#c.born4960 c.male#c.born4960 c.minor#c.born4960 c.age#c.born4960 c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if year >= 2001 & year <= 2005 & samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
473
+ outreg2 using table_b8, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
474
+
475
+
476
+ *** Table B9: other development outcomes ***
477
+
478
+ outreg2 using table_b9_mean_of_y if samples2 == 1, replace sum(log) keep(lcotton loil lgdp1 lstudent lbed lwelcenter lfirmn lfirmv linfras lgdppc)
479
+
480
+ reghdfe lcotton c.famineseverity#c.born4960 eduyear male minor term if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
481
+ outreg2 using table_b9, tex replace dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
482
+
483
+ reghdfe loil c.famineseverity#c.born4960 eduyear male minor term if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
484
+ outreg2 using table_b9, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
485
+
486
+ reghdfe lgdp1 c.famineseverity#c.born4960 eduyear male minor term if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
487
+ outreg2 using table_b9, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
488
+
489
+ reghdfe lstudent c.famineseverity#c.born4960 eduyear male minor term if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
490
+ outreg2 using table_b9, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
491
+
492
+ reghdfe lbed c.famineseverity#c.born4960 eduyear male minor term if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
493
+ outreg2 using table_b9, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
494
+
495
+ reghdfe lwelcenter c.famineseverity#c.born4960 eduyear male minor term if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
496
+ outreg2 using table_b9, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
497
+
498
+ reghdfe lfirmn c.famineseverity#c.born4960 eduyear male minor term if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
499
+ outreg2 using table_b9, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
500
+
501
+ reghdfe lfirmv c.famineseverity#c.born4960 eduyear male minor term if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
502
+ outreg2 using table_b9, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
503
+
504
+ reghdfe linfras c.famineseverity#c.born4960 eduyear male minor term if samples2 == 1, absorb(i.county_code i.year i.htcode i.birthyr) vce(cl county_code)
505
+ outreg2 using table_b9, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
506
+
507
+ reghdfe lgdppc c.famineseverity#c.born4960 eduyear male minor term if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
508
+ outreg2 using table_b9, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
509
+
510
+
511
+ *** Table B10: total expenditure, revenue, and transfer ***
512
+
513
+ outreg2 using table_b10_mean_of_y if samples2 == 1, replace sum(log) keep(lexpenditure lrevenue ltransfer)
514
+
515
+ reghdfe lexpenditure c.famineseverity#c.born4960 eduyear male minor term if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
516
+ outreg2 using table_b10, tex replace dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
517
+
518
+ reghdfe lexpenditure c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
519
+ outreg2 using table_b10, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
520
+
521
+ reghdfe lrevenue c.famineseverity#c.born4960 eduyear male minor term if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
522
+ outreg2 using table_b10, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
523
+
524
+ reghdfe lrevenue c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
525
+ outreg2 using table_b10, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
526
+
527
+ reghdfe ltransfer c.famineseverity#c.born4960 eduyear male minor term if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
528
+ outreg2 using table_b10, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
529
+
530
+ reghdfe ltransfer c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year if samples2 == 1, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
531
+ outreg2 using table_b10, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)')
532
+
533
+
534
+ *** Table C2: promotion ***
535
+
536
+ sum promoted
537
+
538
+ reghdfe promoted c.famineseverity#c.born4960 eduyear male minor term, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
539
+ outreg2 using table_c2, tex replace dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') addtext(Mean of dep. var., 0.098)
540
+
541
+ reghdfe promoted c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
542
+ outreg2 using table_c2, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') addtext(Mean of dep. var., 0.098)
543
+
544
+
545
+ *** Table C3: allocation to agri counties within home city ***
546
+
547
+ preserve
548
+ gen agrihome1 = 0
549
+ replace agrihome1 = 1 if agricounty1 == 1 & homecity == 1
550
+ gen agrihome2 = 0
551
+ replace agrihome2 = 1 if agricounty2 == 1 & homecity == 1
552
+ sort cps year county_code
553
+ drop if cps == cps[_n-1] & county_code == county_code[_n-1]
554
+ sum agrihome1 agrihome2
555
+ reghdfe agrihome1 c.famineseverity#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
556
+ outreg2 using table_c3, tex replace dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') addtext(Mean of dep. var., 0.13)
557
+
558
+ reghdfe agrihome2 c.famineseverity#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
559
+ outreg2 using table_c3, tex append dec(2) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') addtext(Mean of dep. var., 0.15)
560
+ restore
561
+
562
+
563
+ *** Table C4: agri counties ***
564
+
565
+ * cols 1-4
566
+
567
+ reghdfe lexpen_agri agricounty1 c.famineseverity#c.born4960#c.agricounty1 c.famineseverity#c.agricounty1 c.born4960#c.agricounty1 c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
568
+ outreg2 using table_c4, tex replace dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.agricounty1 c.famineseverity#c.born4960#c.agricounty2 c.famineseverity#c.born4960#c.dn2008d c.famineseverity#c.born4960#c.grainsdh c.famineseverity#c.born4960#c.secondterm c.famineseverity#c.born4960#c.rugged c.famineseverity#c.born4960#c.libern) addstat(Within R-squared, `e(r2_within)')
569
+
570
+ reghdfe lexpen_secu agricounty1 c.famineseverity#c.born4960#c.agricounty1 c.famineseverity#c.agricounty1 c.born4960#c.agricounty1 c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
571
+ outreg2 using table_c4, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.agricounty1 c.famineseverity#c.born4960#c.agricounty2 c.famineseverity#c.born4960#c.dn2008d c.famineseverity#c.born4960#c.grainsdh c.famineseverity#c.born4960#c.secondterm c.famineseverity#c.born4960#c.rugged c.famineseverity#c.born4960#c.libern) addstat(Within R-squared, `e(r2_within)')
572
+
573
+ reghdfe lexpen_agri agricounty2 c.famineseverity#c.born4960#c.agricounty2 c.famineseverity#c.agricounty2 c.born4960#c.agricounty2 c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
574
+ outreg2 using table_c4, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.agricounty1 c.famineseverity#c.born4960#c.agricounty2 c.famineseverity#c.born4960#c.dn2008d c.famineseverity#c.born4960#c.grainsdh c.famineseverity#c.born4960#c.secondterm c.famineseverity#c.born4960#c.rugged c.famineseverity#c.born4960#c.libern) addstat(Within R-squared, `e(r2_within)')
575
+
576
+ reghdfe lexpen_secu agricounty2 c.famineseverity#c.born4960#c.agricounty2 c.famineseverity#c.agricounty2 c.born4960#c.agricounty2 c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
577
+ outreg2 using table_c4, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.agricounty1 c.famineseverity#c.born4960#c.agricounty2 c.famineseverity#c.born4960#c.dn2008d c.famineseverity#c.born4960#c.grainsdh c.famineseverity#c.born4960#c.secondterm c.famineseverity#c.born4960#c.rugged c.famineseverity#c.born4960#c.libern) addstat(Within R-squared, `e(r2_within)')
578
+
579
+ * cols 5-8
580
+
581
+ reghdfe lexpen_agri dn2008d c.famineseverity#c.born4960#c.dn2008d c.famineseverity#c.dn2008d c.born4960#c.dn2008d c.famineseverity#c.dn2008d c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
582
+ outreg2 using table_c4, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.agricounty1 c.famineseverity#c.born4960#c.agricounty2 c.famineseverity#c.born4960#c.dn2008d c.famineseverity#c.born4960#c.grainsdh c.famineseverity#c.born4960#c.secondterm c.famineseverity#c.born4960#c.rugged c.famineseverity#c.born4960#c.libern) addstat(Within R-squared, `e(r2_within)')
583
+
584
+ reghdfe lexpen_secu dn2008d c.famineseverity#c.born4960#c.dn2008d c.famineseverity#c.dn2008d c.born4960#c.dn2008d c.famineseverity#c.dn2008d c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
585
+ outreg2 using table_c4, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.agricounty1 c.famineseverity#c.born4960#c.agricounty2 c.famineseverity#c.born4960#c.dn2008d c.famineseverity#c.born4960#c.grainsdh c.famineseverity#c.born4960#c.secondterm c.famineseverity#c.born4960#c.rugged c.famineseverity#c.born4960#c.libern) addstat(Within R-squared, `e(r2_within)')
586
+
587
+ reghdfe lexpen_agri grainsdh c.famineseverity#c.born4960#c.grainsdh c.famineseverity#c.grainsdh c.born4960#c.grainsdh c.famineseverity#c.grainsdh c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
588
+ outreg2 using table_c4, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.agricounty1 c.famineseverity#c.born4960#c.agricounty2 c.famineseverity#c.born4960#c.dn2008d c.famineseverity#c.born4960#c.grainsdh c.famineseverity#c.born4960#c.secondterm c.famineseverity#c.born4960#c.rugged c.famineseverity#c.born4960#c.libern) addstat(Within R-squared, `e(r2_within)')
589
+
590
+ reghdfe lexpen_secu grainsdh c.famineseverity#c.born4960#c.grainsdh c.famineseverity#c.grainsdh c.born4960#c.grainsdh c.famineseverity#c.grainsdh c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
591
+ outreg2 using table_c4, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.agricounty1 c.famineseverity#c.born4960#c.agricounty2 c.famineseverity#c.born4960#c.dn2008d c.famineseverity#c.born4960#c.grainsdh c.famineseverity#c.born4960#c.secondterm c.famineseverity#c.born4960#c.rugged c.famineseverity#c.born4960#c.libern) addstat(Within R-squared, `e(r2_within)')
592
+
593
+ * cols 9-10
594
+
595
+ reghdfe lexpen_agri secondterm c.famineseverity#c.born4960#c.secondterm c.famineseverity#c.born4960 c.famineseverity#c.secondterm c.born4960#c.secondterm eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
596
+ outreg2 using table_c4, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.agricounty1 c.famineseverity#c.born4960#c.agricounty2 c.famineseverity#c.born4960#c.dn2008d c.famineseverity#c.born4960#c.grainsdh c.famineseverity#c.born4960#c.secondterm c.famineseverity#c.born4960#c.rugged c.famineseverity#c.born4960#c.libern) addstat(Within R-squared, `e(r2_within)')
597
+
598
+ reghdfe lexpen_secu secondterm c.famineseverity#c.born4960#c.secondterm c.famineseverity#c.born4960 c.famineseverity#c.secondterm c.born4960#c.secondterm eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
599
+ outreg2 using table_c4, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.agricounty1 c.famineseverity#c.born4960#c.agricounty2 c.famineseverity#c.born4960#c.dn2008d c.famineseverity#c.born4960#c.grainsdh c.famineseverity#c.born4960#c.secondterm c.famineseverity#c.born4960#c.rugged c.famineseverity#c.born4960#c.libern) addstat(Within R-squared, `e(r2_within)')
600
+
601
+ * cols 11-12
602
+
603
+ reghdfe lexpen_agri c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.rugged c.born4960#c.rugged eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
604
+ outreg2 using table_c4, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.agricounty1 c.famineseverity#c.born4960#c.agricounty2 c.famineseverity#c.born4960#c.dn2008d c.famineseverity#c.born4960#c.grainsdh c.famineseverity#c.born4960#c.secondterm c.famineseverity#c.born4960#c.rugged c.famineseverity#c.born4960#c.libern) addstat(Within R-squared, `e(r2_within)')
605
+
606
+ reghdfe lexpen_secu c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.rugged c.born4960#c.rugged eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
607
+ outreg2 using table_c4, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.agricounty1 c.famineseverity#c.born4960#c.agricounty2 c.famineseverity#c.born4960#c.dn2008d c.famineseverity#c.born4960#c.grainsdh c.famineseverity#c.born4960#c.secondterm c.famineseverity#c.born4960#c.rugged c.famineseverity#c.born4960#c.libern) addstat(Within R-squared, `e(r2_within)')
608
+
609
+ * cols 13-14
610
+
611
+ reghdfe lexpen_agri c.famineseverity#c.born4960#c.libern c.famineseverity#c.born4960 c.born4960#c.libern eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
612
+ outreg2 using table_c4, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.agricounty1 c.famineseverity#c.born4960#c.agricounty2 c.famineseverity#c.born4960#c.dn2008d c.famineseverity#c.born4960#c.grainsdh c.famineseverity#c.born4960#c.secondterm c.famineseverity#c.born4960#c.rugged c.famineseverity#c.born4960#c.libern) addstat(Within R-squared, `e(r2_within)')
613
+
614
+ reghdfe lexpen_secu c.famineseverity#c.born4960#c.libern c.famineseverity#c.born4960 c.born4960#c.libern eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
615
+ outreg2 using table_c4, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.agricounty1 c.famineseverity#c.born4960#c.agricounty2 c.famineseverity#c.born4960#c.dn2008d c.famineseverity#c.born4960#c.grainsdh c.famineseverity#c.born4960#c.secondterm c.famineseverity#c.born4960#c.rugged c.famineseverity#c.born4960#c.libern) addstat(Within R-squared, `e(r2_within)')
616
+
617
+
618
+ *** Table C5: distance ***
619
+
620
+ * cols 1-6
621
+
622
+ reghdfe lexpen_agri dist100 c.famineseverity#c.born4960#c.dist100 c.famineseverity#c.dist100 c.born4960#c.dist100 c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
623
+ ereturn list
624
+ lincom _b[c.famineseverity#c.born4960#c.dist100] + _b[c.famineseverity#c.born4960]
625
+ outreg2 using table_c5, tex replace dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.dist100) addstat(Within R-squared, `e(r2_within)') addtext(Sum of two coefficients, 1.01**, se, (0.42))
626
+
627
+ reghdfe lexpen_secu dist100 c.famineseverity#c.born4960#c.dist100 c.famineseverity#c.dist100 c.born4960#c.dist100 c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
628
+ lincom _b[c.famineseverity#c.born4960#c.dist100] + _b[c.famineseverity#c.born4960]
629
+ outreg2 using table_c5, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.dist100) addstat(Within R-squared, `e(r2_within)') addtext(Sum of two coefficients, 1.52*, se, (0.91))
630
+
631
+ reghdfe lexpen_agri dist200 c.famineseverity#c.born4960#c.dist200 c.famineseverity#c.dist200 c.born4960#c.dist200 c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
632
+ lincom _b[c.famineseverity#c.born4960#c.dist200] + _b[c.famineseverity#c.born4960]
633
+ outreg2 using table_c5, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.dist200) addstat(Within R-squared, `e(r2_within)') addtext(Sum of two coefficients, 1.60, se, (0.99))
634
+
635
+ reghdfe lexpen_secu dist200 c.famineseverity#c.born4960#c.dist200 c.famineseverity#c.dist200 c.born4960#c.dist200 c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
636
+ lincom _b[c.famineseverity#c.born4960#c.dist200] + _b[c.famineseverity#c.born4960]
637
+ outreg2 using table_c5, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.dist200) addstat(Within R-squared, `e(r2_within)') addtext(Sum of two coefficients, 0.46, se, (1.49))
638
+
639
+ reghdfe lexpen_agri dist300 c.famineseverity#c.born4960#c.dist300 c.famineseverity#c.dist300 c.born4960#c.dist300 c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
640
+ lincom _b[c.famineseverity#c.born4960#c.dist300] + _b[c.famineseverity#c.born4960]
641
+ outreg2 using table_c5, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.dist300) addstat(Within R-squared, `e(r2_within)') addtext(Sum of two coefficients, 0.61, se, (0.94))
642
+
643
+ reghdfe lexpen_secu dist300 c.famineseverity#c.born4960#c.dist300 c.famineseverity#c.dist300 c.born4960#c.dist300 c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
644
+ lincom _b[c.famineseverity#c.born4960#c.dist300] + _b[c.famineseverity#c.born4960]
645
+ outreg2 using table_c5, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.dist300) addstat(Within R-squared, `e(r2_within)') addtext(Sum of two coefficients, -2.42, se, (2.56))
646
+
647
+ * cols 7-8
648
+
649
+ gen htcodecity = int(htcode/100)*100
650
+ gen city_code = int(county_code/100)*100
651
+ gen diffcity = 0
652
+ replace diffcity = 1 if htcodecity == city_code
653
+
654
+ reghdfe lexpen_agri diffcity c.famineseverity#c.born4960#c.diffcity c.famineseverity#c.diffcity c.born4960#c.diffcity c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
655
+ lincom _b[c.famineseverity#c.born4960#c.diffcity] + _b[c.famineseverity#c.born4960]
656
+ outreg2 using table_c5, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.diffcity) addstat(Within R-squared, `e(r2_within)') addtext(Sum of two coefficients, 0.70**, se, (0.30))
657
+
658
+ reghdfe lexpen_secu diffcity c.famineseverity#c.born4960#c.diffcity c.famineseverity#c.diffcity c.born4960#c.diffcity c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
659
+ lincom _b[c.famineseverity#c.born4960#c.diffcity] + _b[c.famineseverity#c.born4960]
660
+ outreg2 using table_c5, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.diffcity) addstat(Within R-squared, `e(r2_within)') addtext(Sum of two coefficients, 0.82*, se, (0.46))
661
+
662
+ * col 9-10
663
+
664
+ reghdfe lexpen_agri nonneighbor c.famineseverity#c.born4960#c.nonneighbor c.famineseverity#c.nonneighbor c.born4960#c.nonneighbor c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
665
+ lincom _b[c.famineseverity#c.born4960#c.nonneighbor] + _b[c.famineseverity#c.born4960]
666
+ outreg2 using table_c5, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.nonneighbor) addstat(Within R-squared, `e(r2_within)') addtext(Sum of two coefficients, 1.15**, se, (0.45))
667
+
668
+ reghdfe lexpen_secu nonneighbor c.famineseverity#c.born4960#c.nonneighbor c.famineseverity#c.nonneighbor c.born4960#c.nonneighbor c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
669
+ lincom _b[c.famineseverity#c.born4960#c.nonneighbor] + _b[c.famineseverity#c.born4960]
670
+ outreg2 using table_c5, tex append dec(2) keep(c.famineseverity#c.born4960 c.famineseverity#c.born4960#c.nonneighbor) addstat(Within R-squared, `e(r2_within)') addtext(Sum of two coefficients, 1.73***, se, (0.66))
671
+
672
+
673
+ *** Table C6: Conley s.e. ***
674
+
675
+ * panel a
676
+
677
+ reghdfe lexpen_agri c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
678
+ gen esample=e(sample)
679
+ reg lexpen_agri eduyear male minor term eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year i.county_code i.year i.age i.htcode i.birthyr if esample==1
680
+ predict residy, r
681
+ gen famine_60 = c.famineseverity#c.born4960
682
+ reg famine_60 eduyear male minor term eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year i.county_code i.year i.age i.htcode i.birthyr if esample==1
683
+ predict residx, r
684
+ * 100 km, lag 0:
685
+ ols_spatial_HAC residy residx if esample == 1, lat(htlati) lon(htlongi) t(year) p(county_code) dist(100) lag(0)
686
+ est store m1
687
+ * 100 km, lag 1:
688
+ ols_spatial_HAC residy residx if esample == 1, lat(htlati) lon(htlongi) t(year) p(county_code) dist(100) lag(1)
689
+ est store m2
690
+ * 100 km, lag 2:
691
+ ols_spatial_HAC residy residx if esample == 1, lat(htlati) lon(htlongi) t(year) p(county_code) dist(100) lag(2)
692
+ est store m3
693
+ * 500 km, lag0:
694
+ ols_spatial_HAC residy residx if esample == 1, lat(htlati) lon(htlongi) t(year) p(county_code) dist(500) lag(0)
695
+ est store m4
696
+ * 500 km, lag1:
697
+ ols_spatial_HAC residy residx if esample == 1, lat(htlati) lon(htlongi) t(year) p(county_code) dist(500) lag(1)
698
+ est store m5
699
+ * 500 km, lag2:
700
+ ols_spatial_HAC residy residx if esample == 1, lat(htlati) lon(htlongi) t(year) p(county_code) dist(500) lag(2)
701
+ est store m6
702
+
703
+ outreg2 [m1 m2 m3 m4 m5 m6] using table_c6_panel_a, tex replace dec(2) keep(residx)
704
+
705
+ * panel b
706
+
707
+ drop esample residy residx
708
+ reghdfe lexpen_secu c.famineseverity#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
709
+ gen esample=e(sample)
710
+ reg lexpen_secu eduyear male minor term eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year i.county_code i.year i.age i.htcode i.birthyr if esample==1
711
+ predict residy, r
712
+ gen shrink_60 = c.famineseverity#c.born4960
713
+ reg shrink_60 eduyear male minor term eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year i.county_code i.year i.age i.htcode i.birthyr if esample==1
714
+ predict residx, r
715
+ * 100 km, lag 0:
716
+ ols_spatial_HAC residy residx if esample == 1, lat(htlati) lon(htlongi) t(year) p(county_code) dist(100) lag(0)
717
+ est store m1b
718
+ * 100 km, lag 1:
719
+ ols_spatial_HAC residy residx if esample == 1, lat(htlati) lon(htlongi) t(year) p(county_code) dist(100) lag(1)
720
+ est store m2b
721
+ * 100 km, lag 2:
722
+ ols_spatial_HAC residy residx if esample == 1, lat(htlati) lon(htlongi) t(year) p(county_code) dist(100) lag(2)
723
+ est store m3b
724
+ * 500 km, lag0:
725
+ ols_spatial_HAC residy residx if esample == 1, lat(htlati) lon(htlongi) t(year) p(county_code) dist(500) lag(0)
726
+ est store m4b
727
+ * 500 km, lag1:
728
+ ols_spatial_HAC residy residx if esample == 1, lat(htlati) lon(htlongi) t(year) p(county_code) dist(500) lag(1)
729
+ est store m5b
730
+ * 500 km, lag2:
731
+ ols_spatial_HAC residy residx if esample == 1, lat(htlati) lon(htlongi) t(year) p(county_code) dist(500) lag(2)
732
+ est store m6b
733
+
734
+ outreg2 [m1b m2b m3b m4b m5b m6b] using table_c6_panel_b, tex replace dec(2) keep(residx)
735
+
736
+ *** Table C7: radicalism ***
737
+
738
+ * cols 1-4
739
+
740
+ reghdfe lexpen_agri c.famineseverity#c.born4960 c.grainrate#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
741
+ outreg2 using table_c7, tex replace dec(2) keep(c.famineseverity#c.born4960 c.grainrate#c.born4960 c.steelprod#c.born4960 c.ldeath#c.born4960) addstat(Within R-squared, `e(r2_within)')
742
+
743
+ reghdfe lexpen_secu c.famineseverity#c.born4960 c.grainrate#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
744
+ outreg2 using table_c7, tex append dec(2) keep(c.famineseverity#c.born4960 c.grainrate#c.born4960 c.steelprod#c.born4960 c.ldeath#c.born4960) addstat(Within R-squared, `e(r2_within)')
745
+
746
+ reghdfe lexpen_agri c.famineseverity#c.born4960 c.steelprod#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
747
+ outreg2 using table_c7, tex append dec(2) keep(c.famineseverity#c.born4960 c.grainrate#c.born4960 c.steelprod#c.born4960 c.ldeath#c.born4960) addstat(Within R-squared, `e(r2_within)')
748
+
749
+ reghdfe lexpen_secu c.famineseverity#c.born4960 c.steelprod#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
750
+ outreg2 using table_c7, tex append dec(2) keep(c.famineseverity#c.born4960 c.grainrate#c.born4960 c.steelprod#c.born4960 c.ldeath#c.born4960) addstat(Within R-squared, `e(r2_within)')
751
+
752
+ * cols 5-6
753
+
754
+ reghdfe lexpen_agri c.famineseverity#c.born4960 c.ldeath#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
755
+ outreg2 using table_c7, tex append dec(2) keep(c.famineseverity#c.born4960 c.grainrate#c.born4960 c.steelprod#c.born4960 c.ldeath#c.born4960) addstat(Within R-squared, `e(r2_within)')
756
+
757
+ reghdfe lexpen_secu c.famineseverity#c.born4960 c.ldeath#c.born4960 eduyear male minor term c.lgdp1998#i.year c.lpopulation1998#i.year c.lexpenditure1998#i.year c.lrevenue1998#i.year, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
758
+ outreg2 using table_c7, tex append dec(2) keep(c.famineseverity#c.born4960 c.grainrate#c.born4960 c.steelprod#c.born4960 c.ldeath#c.born4960) addstat(Within R-squared, `e(r2_within)')
54/replication_package/Codes for Replication_b.do ADDED
@@ -0,0 +1,247 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+
2
+ *** Note that the path should be manually set to where the downloaded data files are stored. Figures and tables will be saved in the Results folder.
3
+
4
+ cd "C:\Users\Steven Guo\Nutstore\1\Famine\EJ\4th\Replication package"
5
+
6
+ *** Install packages ***
7
+
8
+ ssc install reghdfe
9
+ ssc install outreg2
10
+
11
+
12
+ *** Figure 2 ***
13
+
14
+ use "Data for Replication_b.dta", clear
15
+
16
+ graph twoway (bar csize birthyr, color(gs10))(bar csize birthyr if birthyr >= 1959 & birthyr <= 1961, color(black))(bar csize birthyr if birthyr >= 1956 & birthyr <= 1958, color(gs5))(bar csize birthyr if birthyr >= 1962 & birthyr <= 1964, color(gs5)), xtitle("Year of birth") ytitle("Birth cohort size (# of individuals, 1% sample size)") legend(off)
17
+ graph export "Results\figure_2.png", as(png) name("Graph")
18
+
19
+
20
+ *** Figure A1: representative ***
21
+
22
+ use "Data for Replication_e.dta", clear
23
+
24
+ preserve
25
+ gen e = 1
26
+ expand 2
27
+ sort id data
28
+ replace e = 2 if id == id[_n-1]
29
+ drop if e == 2 & data == .
30
+ ksmirnov gdp, by(e)
31
+ ksmirnov pcgdp, by(e)
32
+ ksmirnov population, by(e)
33
+ ksmirnov popu_agri, by(e)
34
+ ksmirnov revenue, by(e)
35
+ ksmirnov pcrevenue, by(e)
36
+ ksmirnov expenditure, by(e)
37
+ ksmirnov pcexpenditure, by(e)
38
+ restore
39
+
40
+ * GDP
41
+ sum gdp, de
42
+ return list
43
+ gen outlier1 = 1 if gdp > r(p99) | gdp < r(p1)
44
+ sum gdp if data == 1, de
45
+ return list
46
+ gen outlier2 = 1 if gdp > r(p99) | gdp < r(p1)
47
+ twoway (kdensity gdp if outlier1 != 1, lcol(black) lpattern(dash))(kdensity gdp if data == 1 & outlier2 != 1, lcol(black)), legend(label(1 "All counties") label(2 "Selected counties")) xtitle("(in billions)") title("GDP") subtitle("P=0.48") graphregion(color(white)) ylabel(,nogrid) ytitle("") saving(gdp.gph, replace)
48
+ drop outlier1 outlier2
49
+ graph export "Results\figure_a1_gdp.png", as(png) name("Graph")
50
+
51
+ * Per capita GDP
52
+ sum pcgdp, de
53
+ return list
54
+ gen outlier1 = 1 if pcgdp > r(p99) | pcgdp < r(p1)
55
+ sum pcgdp if data == 1, de
56
+ return list
57
+ gen outlier2 = 1 if pcgdp > r(p99) | pcgdp < r(p1)
58
+ twoway (kdensity pcgdp if outlier1 != 1, lcol(black) lpattern(dash))(kdensity pcgdp if data == 1 & outlier2 != 1, lcol(black)), legend(label(1 "All counties") label(2 "Selected counties")) xtitle("(in thousands)") title("Per capita GDP") subtitle("P=0.69") graphregion(color(white)) ylabel(,nogrid) ytitle("") saving(pcgdp.gph, replace)
59
+ drop outlier1 outlier2
60
+ graph export "Results\figure_a1_percapitagdp.png", as(png) name("Graph")
61
+
62
+ * Population
63
+ sum population, de
64
+ return list
65
+ gen outlier1 = 1 if population > r(p99) | population < r(p1)
66
+ sum population if data == 1, de
67
+ return list
68
+ gen outlier2 = 1 if population > r(p99) | population < r(p1)
69
+ twoway (kdensity population if outlier1 != 1, lcol(black) lpattern(dash))(kdensity population if data == 1 & outlier2 != 1, lcol(black)), legend(label(1 "All counties") label(2 "Selected counties")) xtitle("(in millions)") title("Population") subtitle("P=0.16") graphregion(color(white)) ylabel(,nogrid) ytitle("") saving(popu.gph, replace)
70
+ drop outlier1 outlier2
71
+ graph export "Results\figure_a1_population.png", as(png) name("Graph")
72
+
73
+ * Agri population
74
+ sum popu_agri, de
75
+ return list
76
+ gen outlier1 = 1 if popu_agri > r(p99) | popu_agri < r(p1)
77
+ sum popu_agri if data == 1, de
78
+ return list
79
+ gen outlier2 = 1 if popu_agri > r(p99) | popu_agri < r(p1)
80
+ twoway (kdensity popu_agri if outlier1 != 1, lcol(black) lpattern(dash))(kdensity popu_agri if data == 1 & outlier2 != 1, lcol(black)), legend(label(1 "All counties") label(2 "Selected counties")) xtitle("(in millions)") title("Agricultural population") subtitle("P=0.16") graphregion(color(white)) ylabel(,nogrid) ytitle("") saving(agripopu.gph, replace)
81
+ drop outlier1 outlier2
82
+ graph export "Results\figure_a1_agriculturalpopulation.png", as(png) name("Graph")
83
+
84
+ * Revenue
85
+ sum revenue, de
86
+ return list
87
+ gen outlier1 = 1 if revenue > r(p99) | revenue < r(p1)
88
+ sum revenue if data == 1, de
89
+ return list
90
+ gen outlier2 = 1 if revenue > r(p99) | revenue < r(p1)
91
+ twoway (kdensity revenue if outlier1 != 1, lcol(black) lpattern(dash))(kdensity revenue if data == 1 & outlier2 != 1, lcol(black)), legend(label(1 "All counties") label(2 "Selected counties")) xtitle("(in billions)") title("Fiscal revenue") subtitle("P=0.04") graphregion(color(white)) ylabel(,nogrid) ytitle("") saving(revenue.gph, replace)
92
+ drop outlier1 outlier2
93
+ graph export "Results\figure_a1_fiscalrevenue.png", as(png) name("Graph")
94
+
95
+ * Per capita revenue
96
+ sum pcrevenue, de
97
+ return list
98
+ gen outlier1 = 1 if pcrevenue > r(p99) | pcrevenue < r(p1)
99
+ sum pcrevenue if data == 1, de
100
+ return list
101
+ gen outlier2 = 1 if pcrevenue > r(p99) | pcrevenue < r(p1)
102
+ twoway (kdensity pcrevenue if outlier1 != 1, lcol(black) lpattern(dash))(kdensity pcrevenue if data == 1 & outlier2 != 1, lcol(black)), legend(label(1 "All counties") label(2 "Selected counties")) xtitle("(in thousands)") title("Per capita revenue") subtitle("P=0.30") graphregion(color(white)) ylabel(,nogrid) ytitle("") saving(pcrevenue.gph, replace)
103
+ drop outlier1 outlier2
104
+ graph export "Results\figure_a1_percapitarevenue.png", as(png) name("Graph")
105
+
106
+ * Expenditure
107
+ sum expenditure, de
108
+ return list
109
+ gen outlier1 = 1 if expenditure > r(p99) | expenditure < r(p1)
110
+ sum expenditure if data == 1, de
111
+ return list
112
+ gen outlier2 = 1 if expenditure > r(p99) | expenditure < r(p1)
113
+ twoway (kdensity expenditure if outlier1 != 1, lcol(black) lpattern(dash))(kdensity expenditure if data == 1 & outlier2 != 1, lcol(black)), legend(label(1 "All counties") label(2 "Selected counties")) xtitle("(in billions)") title("Fiscal expenditure") subtitle("P=0.00") graphregion(color(white)) ylabel(,nogrid) ytitle("") saving(expen.gph, replace)
114
+ drop outlier1 outlier2
115
+ graph export "Results\figure_a1_fiscalexpenditure.png", as(png) name("Graph")
116
+
117
+ * Per capita expenditure
118
+ sum pcexpenditure, de
119
+ return list
120
+ gen outlier1 = 1 if pcexpenditure > r(p99) | pcexpenditure < r(p1)
121
+ sum pcexpenditure if data == 1, de
122
+ return list
123
+ gen outlier2 = 1 if pcexpenditure > r(p99) | pcexpenditure < r(p1)
124
+ twoway (kdensity pcexpenditure if outlier1 != 1, lcol(black) lpattern(dash))(kdensity pcexpenditure if data == 1 & outlier2 != 1, lcol(black)), legend(label(1 "All counties") label(2 "Selected counties")) xtitle("(in thousands)") title("Per capita expenditure") subtitle("P=0.04") graphregion(color(white)) ylabel(,nogrid) ytitle("") saving(pcexpen.gph, replace)
125
+ drop outlier1 outlier2
126
+ graph export "Results\figure_a1_percapitaexpenditure.png", as(png) name("Graph")
127
+
128
+
129
+ *** Figure A2 ***
130
+
131
+ use "Data for Replication_f.dta", clear
132
+ corr pdevr death
133
+ corr pdevr mortality
134
+ graph bar pdevr death mortality, over(province, sort(1) descending label(angle(45))) ytitle("Percentage") legend(label(1 "Famine severity") label(2 "Unusual death rate (corr=0.78)") label(3 "Mortality rate (corr=0.80)"))
135
+ graph export "Results\figure_a2.png", as(png) name("Graph")
136
+
137
+
138
+ *** Table C1: strategic appointment ***
139
+
140
+ * panel a
141
+ use "Data for Replication_c.dta", clear
142
+ reghdfe lgdp c.famineseverity#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
143
+ outreg2 using "Results\table_c1_panel_a", tex replace dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
144
+
145
+ reghdfe lpopulation c.famineseverity#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
146
+ outreg2 using "Results\table_c1_panel_a", tex append dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
147
+
148
+ reghdfe lpopu_agri c.famineseverity#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
149
+ outreg2 using "Results\table_c1_panel_a", tex append dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
150
+
151
+ reghdfe lexpenditure c.famineseverity#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
152
+ outreg2 using "Results\table_c1_panel_a", tex append dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
153
+
154
+ reghdfe lexpen_agri c.famineseverity#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
155
+ outreg2 using "Results\table_c1_panel_a", tex append dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
156
+
157
+ reghdfe lrevenue c.famineseverity#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
158
+ outreg2 using "Results\table_c1_panel_a", tex append dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
159
+
160
+ reghdfe lrevenue_agri c.famineseverity#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
161
+ outreg2 using "Results\table_c1_panel_a", tex append dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
162
+
163
+ reghdfe lgrain c.famineseverity#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
164
+ outreg2 using "Results\table_c1_panel_a", tex append dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
165
+
166
+ reghdfe lgdp1 c.famineseverity#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
167
+ outreg2 using "Results\table_c1_panel_a", tex append dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
168
+
169
+ * panel b
170
+ reghdfe lgdp c.famprov#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
171
+ outreg2 using "Results\table_c1_panel_b", tex replace dec(3) keep(c.famprov#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
172
+
173
+ reghdfe lpopulation c.famprov#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
174
+ outreg2 using "Results\table_c1_panel_b", tex append dec(3) keep(c.famprov#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
175
+
176
+ reghdfe lpopu_agri c.famprov#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
177
+ outreg2 using "Results\table_c1_panel_b", tex append dec(3) keep(c.famprov#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
178
+
179
+ reghdfe lexpenditure c.famprov#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
180
+ outreg2 using "Results\table_c1_panel_b", tex append dec(3) keep(c.famprov#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
181
+
182
+ reghdfe lexpen_agri c.famprov#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
183
+ outreg2 using "Results\table_c1_panel_b", tex append dec(3) keep(c.famprov#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
184
+
185
+ reghdfe lrevenue c.famprov#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
186
+ outreg2 using "Results\table_c1_panel_b", tex append dec(3) keep(c.famprov#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
187
+
188
+ reghdfe lrevenue_agri c.famprov#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
189
+ outreg2 using "Results\table_c1_panel_b", tex append dec(3) keep(c.famprov#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
190
+
191
+ reghdfe lgrain c.famprov#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
192
+ outreg2 using "Results\table_c1_panel_b", tex append dec(3) keep(c.famprov#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
193
+
194
+ reghdfe lgdp1 c.famprov#c.born4960 eduyear male minor term, absorb(i.htcode i.birthyr) vce(cl county_code)
195
+ outreg2 using "Results\table_c1_panel_b", tex append dec(3) keep(c.famprov#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(3)
196
+
197
+ * panel c
198
+ use "Data for Replication_d.dta", clear
199
+ reghdfe lgdp c.famineseverity#c.born4960 eduyear male minor term, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
200
+ outreg2 using "Results\table_c1_panel_c", tex replace dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(4)
201
+
202
+ reghdfe lpopulation c.famineseverity#c.born4960 eduyear male minor term, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
203
+ outreg2 using "Results\table_c1_panel_c", tex append dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(4)
204
+
205
+ reghdfe lpopu_agri c.famineseverity#c.born4960 eduyear male minor term, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
206
+ outreg2 using "Results\table_c1_panel_c", tex append dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(4)
207
+
208
+ reghdfe lexpenditure c.famineseverity#c.born4960 eduyear male minor term, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
209
+ outreg2 using "Results\table_c1_panel_c", tex append dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(4)
210
+
211
+ reghdfe lexpen_agri c.famineseverity#c.born4960 eduyear male minor term, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
212
+ outreg2 using "Results\table_c1_panel_c", tex append dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(4)
213
+
214
+ reghdfe lrevenue c.famineseverity#c.born4960 eduyear male minor term, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
215
+ outreg2 using "Results\table_c1_panel_c", tex append dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(4)
216
+
217
+ reghdfe lrevenue_agri c.famineseverity#c.born4960 eduyear male minor term, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
218
+ outreg2 using "Results\table_c1_panel_c", tex append dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(4)
219
+
220
+ reghdfe lgrain c.famineseverity#c.born4960 eduyear male minor term, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
221
+ outreg2 using "Results\table_c1_panel_c", tex append dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(4)
222
+
223
+ reghdfe lgdp1 c.famineseverity#c.born4960 eduyear male minor term, absorb(i.county_code i.year i.age i.htcode i.birthyr) vce(cl county_code)
224
+ outreg2 using "Results\table_c1_panel_c", tex append dec(3) keep(c.famineseverity#c.born4960) addstat(Within R-squared, `e(r2_within)') adec(4)
225
+
226
+
227
+ *** Figure C1 ***
228
+
229
+ use "Data for Replication_c.dta", clear
230
+
231
+ graph twoway (scatter lgdp famineseverity if birthyr <= 1958, mcolor(gs10) msize(vsmall))(scatter lgdp famineseverity if birthyr >= 1959 & birthyr <= 1961, mcolor(gs4) msymbol(triangle) msize(vsmall))(scatter lgdp famineseverity if birthyr >= 1962, mcolor(black) msymbol(square) msize(vsmall))(lfit lgdp famineseverity if birthyr <= 1958, lcolor(gs10) lwidth(thin))(lfit lgdp famineseverity if birthyr >= 1962, lcolor(black) lwidth(vthin))(lfit lgdp famineseverity if birthyr >= 1959 & birthyr <= 1961, lcolor(gs4) lwidth(vthin)), ytitle("Log GDP") xtitle("Famine severity") legend(lab(1 "CPS born before famine") lab(2 "during famine") lab(3 "after famine") order(1 2 3) cols(3)) saving(gdp, replace) graphregion(color(white)) bgcolor(white) ylabel(, nogrid)
232
+ graph export "Results\figure_c1_gdp.png", as(png) name("Graph")
233
+
234
+ graph twoway (scatter lpopulation famineseverity if birthyr <= 1958, mcolor(gs10) msize(vsmall))(scatter lpopulation famineseverity if birthyr >= 1959 & birthyr <= 1961, mcolor(gs4) msymbol(triangle) msize(vsmall))(scatter lpopulation famineseverity if birthyr >= 1962, mcolor(black) msymbol(square) msize(vsmall))(lfit lpopulation famineseverity if birthyr <= 1958, lcolor(gs10) lwidth(thin))(lfit lpopulation famineseverity if birthyr >= 1962, lcolor(black) lwidth(vthin))(lfit lpopulation famineseverity if birthyr >= 1959 & birthyr <= 1961, lcolor(gs4) lwidth(vthin)), ytitle("Log population") xtitle("Famine severity") legend(lab(1 "CPS born before famine") lab(2 "during famine") lab(3 "after famine") order(1 2 3) cols(3)) saving(popu, replace) graphregion(color(white)) bgcolor(white) ylabel(, nogrid)
235
+ graph export "Results\figure_c1_population.png", as(png) name("Graph")
236
+
237
+ graph twoway (scatter lexpenditure famineseverity if birthyr <= 1958, mcolor(gs10) msize(vsmall))(scatter lexpenditure famineseverity if birthyr >= 1959 & birthyr <= 1961, mcolor(gs4) msymbol(triangle) msize(vsmall))(scatter lexpenditure famineseverity if birthyr >= 1962, mcolor(black) msymbol(square) msize(vsmall))(lfit lexpenditure famineseverity if birthyr <= 1958, lcolor(gs10) lwidth(thin))(lfit lexpenditure famineseverity if birthyr >= 1962, lcolor(black) lwidth(vthin))(lfit lexpenditure famineseverity if birthyr >= 1959 & birthyr <= 1961, lcolor(gs4) lwidth(vthin)), ytitle("Log fiscal expenditure") xtitle("Famine severity") legend(lab(1 "CPS born before famine") lab(2 "during famine") lab(3 "after famine") order(1 2 3) cols(3)) saving(expen, replace) graphregion(color(white)) bgcolor(white) ylabel(, nogrid)
238
+ graph export "Results\figure_c1_expenditure.png", as(png) name("Graph")
239
+
240
+ graph twoway (scatter lexpen_agri famineseverity if birthyr <= 1958, mcolor(gs10) msize(vsmall))(scatter lexpen_agri famineseverity if birthyr >= 1959 & birthyr <= 1961, mcolor(gs4) msymbol(triangle) msize(vsmall))(scatter lexpen_agri famineseverity if birthyr >= 1962, mcolor(black) msymbol(square) msize(vsmall))(lfit lexpen_agri famineseverity if birthyr <= 1958, lcolor(gs10) lwidth(thin))(lfit lexpen_agri famineseverity if birthyr >= 1962, lcolor(black) lwidth(vthin))(lfit lexpen_agri famineseverity if birthyr >= 1959 & birthyr <= 1961, lcolor(gs4) lwidth(vthin)), ytitle("Log agricultural expenditure") xtitle("Famine severity") legend(lab(1 "CPS born before famine") lab(2 "during famine") lab(3 "after famine") order(1 2 3) cols(3)) saving(expenagri, replace) graphregion(color(white)) bgcolor(white) ylabel(, nogrid)
241
+ graph export "Results\figure_c1_agriculturalexpenditure.png", as(png) name("Graph")
242
+
243
+ graph twoway (scatter lgdp1 famineseverity if birthyr <= 1958, mcolor(gs10) msize(vsmall))(scatter lgdp1 famineseverity if birthyr >= 1959 & birthyr <= 1961, mcolor(gs4) msymbol(triangle) msize(vsmall))(scatter lgdp1 famineseverity if birthyr >= 1962, mcolor(black) msymbol(square) msize(vsmall))(lfit lgdp1 famineseverity if birthyr <= 1958, lcolor(gs10) lwidth(thin))(lfit lgdp1 famineseverity if birthyr >= 1962, lcolor(black) lwidth(vthin))(lfit lgdp1 famineseverity if birthyr >= 1959 & birthyr <= 1961, lcolor(gs4) lwidth(vthin)), ytitle("Log GDP from agriculture") xtitle("Famine severity") legend(lab(1 "CPS born before famine") lab(2 "during famine") lab(3 "after famine") order(1 2 3) cols(3)) saving(gdp1, replace) graphregion(color(white)) bgcolor(white) ylabel(, nogrid)
244
+ graph export "Results\figure_c1_gdpfromagriculture.png", as(png) name("Graph")
245
+
246
+ graph twoway (scatter lgrain famineseverity if birthyr <= 1958, mcolor(gs10) msize(vsmall))(scatter lgrain famineseverity if birthyr >= 1959 & birthyr <= 1961, mcolor(gs4) msymbol(triangle) msize(vsmall))(scatter lgrain famineseverity if birthyr >= 1962, mcolor(black) msymbol(square) msize(vsmall))(lfit lgrain famineseverity if birthyr <= 1958, lcolor(gs10) lwidth(thin))(lfit lgrain famineseverity if birthyr >= 1962, lcolor(black) lwidth(vthin))(lfit lgrain famineseverity if birthyr >= 1959 & birthyr <= 1961, lcolor(gs4) lwidth(vthin)), ytitle("Log grain production") xtitle("Famine severity") legend(lab(1 "CPS born before famine") lab(2 "during famine") lab(3 "after famine") order(1 2 3) cols(3)) saving(grain, replace) graphregion(color(white)) bgcolor(white) ylabel(, nogrid)
247
+ graph export "Results\figure_c1_grainproduction.png", as(png) name("Graph")
54/replication_package/Data for Replication.dta ADDED
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