Hurricane Regressions and Event Study - Hurricanes Only
Danielle Handel
01/29/2021
Here I examine the relationship between hurricane exposure in-utero and birth outcomes. I define a child as “treated” when their district is more than 50% covered by the 30 km buffer around a hurricane of 64 kt surface wind or greater in the 9 months before their birth.
Birth weight regressions
All children, all years
Summary stats
## [1] "# of children in the sample:50228"## [1] "# of treated children: 444"## [1] "average birth weight: 2854.79248626264"Regression Results
## reg_1
## Dependent Var.: log(BIRTHWT)
##
## treated -0.007945 (0.0108)
## factor(EDUCLVL)1 0.01084* (0.004967)
## factor(EDUCLVL)2 0.01933*** (0.004188)
## factor(EDUCLVL)3 0.04667*** (0.005924)
## factor(EDUCLVL)8 0.06968. (0.03972)
## factor(KIDSEX)2 -0.02483*** (0.002501)
## factor(KIDTWIN)21 -0.2947*** (0.01872)
## factor(KIDTWIN)22 -0.3325*** (0.03054)
## factor(KIDTWIN)23 -1.187*** (0.2101)
## factor(KIDBORD)2 0.02003*** (0.003638)
## factor(KIDBORD)3 0.02411*** (0.004552)
## factor(KIDBORD)4 0.03717*** (0.007074)
## factor(KIDBORD)5 0.04383*** (0.01022)
## factor(KIDBORD)6 0.04789*** (0.0121)
## factor(KIDBORD)7 0.05049. (0.02609)
## factor(KIDBORD)8 0.05416 (0.03924)
## factor(KIDBORD)9 0.05976 (0.03849)
## factor(KIDBORD)10 -0.02853 (0.1107)
## factor(KIDBORD)11 0.04233 (0.0572)
## factor(KIDBORD)12 -0.02889 (0.1144)
## factor(KIDBORD)13 -0.1929* (0.07715)
## factor(KIDBORD)14 0.1048*** (0.01559)
## factor(KIDBORD)15 0.1741*** (0.01618)
## factor(RELIGION)1000 -0.01829 (0.07847)
## factor(RELIGION)2000 -0.02251 (0.07785)
## factor(RELIGION)3000 -0.02303 (0.07938)
## factor(RELIGION)4000 -0.03217 (0.07848)
## factor(RELIGION)6402 -0.2369* (0.1194)
## factor(RELIGION)7200 -0.1439 (0.1205)
## factor(RELIGION)7300 0.0567 (0.07912)
## factor(RELIGION)7400 -0.04679 (0.09374)
## factor(RELIGION)9000 -0.05836 (0.07972)
## factor(RELIGION)9998 -0.02328 (0.08808)
## factor(URBAN)2 0.004434 (0.004149)
## WEALTHS 0.02047*** (0.002426)
## mean_children -0.008331 (0.02223)
## literacy -0.007245 (0.07775)
## mean_wealth -0.02136 (0.02772)
## urban_per -0.003276 (0.03789)
## Fixed-Effects: ----------------------
## district_name Yes
## bday_mo Yes
## GEO_IA1992_2015^bday_year Yes
## _________________________ ______________________
## S.E.: Clustered by: district_name
## Observations 50,227
## R2 0.083138
## Within R2 0.048562Only first two waves
## [1] "# of children in the sample:6917"## [1] "# of treated children: 210"## [1] "average birth weight: 2858.01199942171"Regression Results with only the first 2 waves
## reg_no_2015
## Dependent Var.: log(BIRTHWT)
##
## treated -0.09819 (0.06706)
## factor(EDUCLVL)1 0.02444 (0.02047)
## factor(EDUCLVL)2 0.03851* (0.01664)
## factor(EDUCLVL)3 0.09642*** (0.02196)
## factor(EDUCLVL)8 0.0791. (0.04574)
## factor(KIDSEX)2 -0.03599*** (0.009463)
## factor(KIDTWIN)21 -0.3343*** (0.09415)
## factor(KIDTWIN)22 -0.38*** (0.1046)
## factor(KIDBORD)2 0.02102* (0.008894)
## factor(KIDBORD)3 0.04126** (0.01371)
## factor(KIDBORD)4 0.03677* (0.01849)
## factor(KIDBORD)5 0.1107** (0.04013)
## factor(KIDBORD)6 0.03519 (0.0427)
## factor(KIDBORD)7 0.1729*** (0.04281)
## factor(KIDBORD)8 0.09454 (0.1013)
## factor(KIDBORD)9 0.002783 (0.1189)
## factor(KIDBORD)10 -0.01836 (0.08285)
## factor(KIDBORD)11 -0.2171*** (0.0566)
## factor(KIDBORD)12 0.2446*** (0.05425)
## factor(RELIGION)1000 0.1232 (0.08084)
## factor(RELIGION)2000 0.1083 (0.081)
## factor(RELIGION)3000 0.1134 (0.1009)
## factor(RELIGION)4000 0.07802 (0.08148)
## factor(RELIGION)6402 -0.1035 (0.1631)
## factor(RELIGION)7200 -0.03424 (0.2067)
## factor(RELIGION)7400 0.167 (0.1116)
## factor(RELIGION)9000 0.07203 (0.0875)
## factor(RELIGION)9998 0.1074 (0.08963)
## factor(URBAN)2 0.01044 (0.01197)
## WEALTHS 0.03016*** (0.007961)
## mean_children -0.05838 (0.04174)
## literacy 0.03183 (0.1198)
## mean_wealth -0.1025. (0.05923)
## urban_per 0.02483 (0.07377)
## treated x WEALTHS -0.001825 (0.08634)
## Fixed-Effects: ----------------------
## district_name Yes
## bday_mo Yes
## GEO_IA1992_2015^bday_year Yes
## _________________________ ______________________
## S.E.: Clustered by: district_name
## Observations 6,917
## R2 0.152414
## Within R2 0.055095Breakdown into SES
Low wealth / only rural
- low wealth
- only rural
## reg_low reg_rural
## Dependent Var.: log(BIRTHWT) log(BIRTHWT)
##
## treated -0.0006718 (0.01557) -0.01623 (0.01387)
## factor(EDUCLVL)1 0.01536** (0.004821) 0.01142. (0.005891)
## factor(EDUCLVL)2 0.02197*** (0.005097) 0.01891*** (0.004534)
## factor(EDUCLVL)3 0.03865** (0.01228) 0.0489*** (0.007409)
## factor(EDUCLVL)8 0.2903. (0.151) 0.05772 (0.07468)
## factor(KIDSEX)2 -0.0194*** (0.003452) -0.02309*** (0.002593)
## factor(KIDTWIN)21 -0.2469*** (0.02818) -0.2834*** (0.02153)
## factor(KIDTWIN)22 -0.2606*** (0.04384) -0.32*** (0.03714)
## factor(KIDBORD)2 0.02588*** (0.004821) 0.02231*** (0.003833)
## factor(KIDBORD)3 0.01901** (0.006782) 0.0207*** (0.005528)
## factor(KIDBORD)4 0.04086*** (0.00959) 0.04005*** (0.008125)
## factor(KIDBORD)5 0.04731*** (0.0127) 0.05205*** (0.01257)
## factor(KIDBORD)6 0.04531*** (0.01312) 0.04806*** (0.01332)
## factor(KIDBORD)7 0.03042 (0.03097) 0.03518 (0.03166)
## factor(KIDBORD)8 0.0574 (0.04493) 0.04225 (0.03171)
## factor(KIDBORD)9 0.08704. (0.04673) 0.07798 (0.05313)
## factor(KIDBORD)10 -0.02635 (0.1185) -0.02162 (0.12)
## factor(KIDBORD)11 0.07614 (0.06762) 0.06397 (0.0696)
## factor(KIDBORD)12 0.03206 (0.1744) -0.03096 (0.1324)
## factor(KIDBORD)13 -0.1889* (0.07713) -0.1981* (0.07941)
## factor(RELIGION)1000 -0.1102 (0.08098) -0.03857 (0.08875)
## factor(RELIGION)2000 -0.1221 (0.08017) -0.06052 (0.08561)
## factor(RELIGION)3000 -0.09405 (0.08276) -0.04636 (0.08976)
## factor(RELIGION)4000 -0.1348. (0.08077) -0.06722 (0.08865)
## factor(RELIGION)6402 -0.3554*** (0.1004) -0.1807 (0.1213)
## factor(RELIGION)7200 -0.64*** (0.1154) -0.3868** (0.1451)
## factor(RELIGION)7400 0.08249 (0.1071) -0.1137 (0.1062)
## factor(RELIGION)9000 -0.1547. (0.08392) -0.08024 (0.08987)
## factor(RELIGION)9998 -0.1562 (0.0984) -0.09198 (0.09692)
## mean_children 0.03671 (0.04518) -0.006478 (0.02923)
## literacy 0.01685 (0.1849) -0.02979 (0.1267)
## mean_wealth -0.08991 (0.06017) -0.06046 (0.03958)
## urban_per 0.1023 (0.06672) 0.06129 (0.04876)
## WEALTHS 0.01907*** (0.004921) 0.01913*** (0.003147)
## factor(KIDTWIN)23 -1.185*** (0.2015)
## factor(KIDBORD)14 0.107*** (0.0168)
## factor(KIDBORD)15 0.1788*** (0.01984)
## Fixed-Effects: --------------------- ----------------------
## district_name Yes Yes
## bday_mo Yes Yes
## GEO_IA1992_2015^bday_year Yes Yes
## _________________________ _____________________ ______________________
## S.E.: Clustered by: district_name by: district_name
## Observations 23,769 33,741
## R2 0.088144 0.093406
## Within R2 0.030621 0.048517Interactions with district/survey year level determinants of SES
- interaction with mean wealth
- interaction with percent urban
- interaction with district-level literacy
## reg_2 reg_3
## Dependent Var.: log(BIRTHWT) log(BIRTHWT)
##
## treated -0.008695 (0.01189) -0.01168 (0.01508)
## factor(EDUCLVL)1 0.01084* (0.004968) 0.01084* (0.004967)
## factor(EDUCLVL)2 0.01933*** (0.004188) 0.01933*** (0.004189)
## factor(EDUCLVL)3 0.04667*** (0.005924) 0.04668*** (0.005929)
## factor(EDUCLVL)8 0.0697. (0.03971) 0.06969. (0.03972)
## factor(KIDSEX)2 -0.02482*** (0.002501) -0.02483*** (0.002501)
## factor(KIDTWIN)21 -0.2947*** (0.01872) -0.2946*** (0.01873)
## factor(KIDTWIN)22 -0.3325*** (0.03054) -0.3325*** (0.03054)
## factor(KIDTWIN)23 -1.187*** (0.2101) -1.187*** (0.2101)
## factor(KIDBORD)2 0.02003*** (0.003638) 0.02003*** (0.003638)
## factor(KIDBORD)3 0.02411*** (0.004552) 0.02411*** (0.004553)
## factor(KIDBORD)4 0.03717*** (0.007075) 0.03717*** (0.007078)
## factor(KIDBORD)5 0.04384*** (0.01022) 0.04384*** (0.01022)
## factor(KIDBORD)6 0.04791*** (0.01209) 0.0479*** (0.0121)
## factor(KIDBORD)7 0.05046. (0.0261) 0.05048. (0.02609)
## factor(KIDBORD)8 0.05421 (0.03925) 0.05418 (0.03925)
## factor(KIDBORD)9 0.05975 (0.0385) 0.05975 (0.03849)
## factor(KIDBORD)10 -0.02852 (0.1107) -0.02853 (0.1107)
## factor(KIDBORD)11 0.04233 (0.0572) 0.04233 (0.0572)
## factor(KIDBORD)12 -0.02891 (0.1144) -0.02889 (0.1144)
## factor(KIDBORD)13 -0.1929* (0.07715) -0.1929* (0.07716)
## factor(KIDBORD)14 0.1049*** (0.01559) 0.1049*** (0.0156)
## factor(KIDBORD)15 0.1741*** (0.01618) 0.1741*** (0.01618)
## factor(RELIGION)1000 -0.01829 (0.07847) -0.01828 (0.07847)
## factor(RELIGION)2000 -0.02251 (0.07785) -0.02251 (0.07785)
## factor(RELIGION)3000 -0.02303 (0.07939) -0.02302 (0.07939)
## factor(RELIGION)4000 -0.03218 (0.07848) -0.03216 (0.07848)
## factor(RELIGION)6402 -0.2367* (0.1194) -0.2366* (0.1194)
## factor(RELIGION)7200 -0.1439 (0.1205) -0.1439 (0.1205)
## factor(RELIGION)7300 0.0567 (0.07912) 0.05671 (0.07912)
## factor(RELIGION)7400 -0.04681 (0.09375) -0.04678 (0.09375)
## factor(RELIGION)9000 -0.05836 (0.07972) -0.05835 (0.07973)
## factor(RELIGION)9998 -0.02328 (0.08808) -0.02329 (0.08808)
## factor(URBAN)2 0.004436 (0.004149) 0.004434 (0.004149)
## WEALTHS 0.02047*** (0.002426) 0.02047*** (0.002426)
## mean_children -0.008298 (0.02222) -0.008311 (0.02222)
## literacy -0.007222 (0.07773) -0.007349 (0.07785)
## mean_wealth -0.0214 (0.02769) -0.02131 (0.02777)
## urban_per -0.003244 (0.03786) -0.003386 (0.03799)
## treated x mean_wealth 0.006301 (0.02286)
## treated x urban_per 0.01142 (0.03965)
## treated x literacy
## Fixed-Effects: ---------------------- ----------------------
## district_name Yes Yes
## bday_mo Yes Yes
## GEO_IA1992_2015^bday_year Yes Yes
## _________________________ ______________________ ______________________
## S.E.: Clustered by: district_name by: district_name
## Observations 50,227 50,227
## R2 0.083139 0.083139
## Within R2 0.048562 0.048562
## reg_4
## Dependent Var.: log(BIRTHWT)
##
## treated -0.2053 (0.1484)
## factor(EDUCLVL)1 0.01081* (0.004974)
## factor(EDUCLVL)2 0.01934*** (0.004187)
## factor(EDUCLVL)3 0.04676*** (0.005924)
## factor(EDUCLVL)8 0.07074. (0.03946)
## factor(KIDSEX)2 -0.02483*** (0.0025)
## factor(KIDTWIN)21 -0.2947*** (0.01871)
## factor(KIDTWIN)22 -0.3324*** (0.03054)
## factor(KIDTWIN)23 -1.188*** (0.21)
## factor(KIDBORD)2 0.02005*** (0.00364)
## factor(KIDBORD)3 0.0241*** (0.004549)
## factor(KIDBORD)4 0.03718*** (0.007073)
## factor(KIDBORD)5 0.04382*** (0.01021)
## factor(KIDBORD)6 0.04805*** (0.01205)
## factor(KIDBORD)7 0.05045. (0.02608)
## factor(KIDBORD)8 0.05478 (0.03924)
## factor(KIDBORD)9 0.0597 (0.03849)
## factor(KIDBORD)10 -0.02849 (0.1107)
## factor(KIDBORD)11 0.0423 (0.05719)
## factor(KIDBORD)12 -0.02936 (0.1143)
## factor(KIDBORD)13 -0.1928* (0.07709)
## factor(KIDBORD)14 0.1049*** (0.01558)
## factor(KIDBORD)15 0.1741*** (0.0162)
## factor(RELIGION)1000 -0.01845 (0.07845)
## factor(RELIGION)2000 -0.02249 (0.07783)
## factor(RELIGION)3000 -0.0232 (0.07937)
## factor(RELIGION)4000 -0.03233 (0.07846)
## factor(RELIGION)6402 -0.2449* (0.1211)
## factor(RELIGION)7200 -0.1439 (0.1205)
## factor(RELIGION)7300 0.05664 (0.0791)
## factor(RELIGION)7400 -0.04708 (0.09373)
## factor(RELIGION)9000 -0.05856 (0.0797)
## factor(RELIGION)9998 -0.02311 (0.08805)
## factor(URBAN)2 0.004442 (0.004148)
## WEALTHS 0.02046*** (0.002427)
## mean_children -0.007129 (0.02234)
## literacy -0.004341 (0.07779)
## mean_wealth -0.02339 (0.02775)
## urban_per -0.001071 (0.03784)
## treated x mean_wealth
## treated x urban_per
## treated x literacy 0.2943 (0.2072)
## Fixed-Effects: ---------------------
## district_name Yes
## bday_mo Yes
## GEO_IA1992_2015^bday_year Yes
## _________________________ _____________________
## S.E.: Clustered by: district_name
## Observations 50,227
## R2 0.083226
## Within R2 0.048653Breastfeeding regression results
## reg_bsfd
## Dependent Var.: BRSFEDUR
##
## treated -1.158 (1.89)
## factor(EDUCLVL)1 0.2819 (0.6727)
## factor(EDUCLVL)2 0.5209 (0.5196)
## factor(EDUCLVL)3 0.6073 (0.8448)
## factor(EDUCLVL)8 -6.232** (2.069)
## factor(KIDSEX)2 -0.02107 (0.1948)
## factor(KIDTWIN)21 -8.454*** (1.11)
## factor(KIDTWIN)22 -0.7194 (1.121)
## factor(KIDTWIN)23 -3.018 (3.758)
## factor(KIDBORD)2 1.504*** (0.2649)
## factor(KIDBORD)3 1.374*** (0.3214)
## factor(KIDBORD)4 1.654** (0.6179)
## factor(KIDBORD)5 1.496. (0.8331)
## factor(KIDBORD)6 3.015** (1.069)
## factor(KIDBORD)7 -0.07124 (1.655)
## factor(KIDBORD)8 4.819. (2.811)
## factor(KIDBORD)9 12.54** (4.64)
## factor(KIDBORD)10 6.695** (2.155)
## factor(KIDBORD)11 3.281 (9.461)
## factor(KIDBORD)12 -3.523 (2.319)
## factor(KIDBORD)13 -5.952*** (1.435)
## factor(RELIGION)1000 -3.007 (5.406)
## factor(RELIGION)2000 -2.019 (5.303)
## factor(RELIGION)3000 -0.9425 (5.46)
## factor(RELIGION)4000 -3.162 (5.417)
## factor(RELIGION)6402 -11.91* (5.689)
## factor(RELIGION)7200 0.0275 (6.118)
## factor(RELIGION)7300 5.481 (5.447)
## factor(RELIGION)7400 -2.169 (5.875)
## factor(RELIGION)9000 -0.8583 (5.457)
## factor(URBAN)2 -0.03724 (0.3527)
## WEALTHS -0.3431 (0.2096)
## mean_children 0.9192 (0.8771)
## literacy -3.86 (3.689)
## mean_wealth 2.373 (1.651)
## urban_per -2.138 (2.001)
## Fixed-Effects: -----------------
## district_name Yes
## bday_mo Yes
## GEO_IA1992_2015^bday_year Yes
## _________________________ _________________
## S.E.: Clustered by: district_name
## Observations 16,899
## R2 0.170158
## Within R2 0.00982Delivery care data
For all years, I have where the child was delivered and whether the child was delivered by a doctor. Here are the results for the effect of treatment on delivery by a doctor. I hope to discuss better ways to use this information.
## reg_doc
## Dependent Var.: DELDOC
##
## treated -0.04489 (0.05809)
## factor(EDUCLVL)1 0.01546 (0.02811)
## factor(EDUCLVL)2 0.06125* (0.0248)
## factor(EDUCLVL)3 0.0992** (0.03175)
## factor(EDUCLVL)8 0.4071** (0.1235)
## factor(KIDSEX)2 -0.01445 (0.01227)
## factor(KIDTWIN)21 0.1421. (0.0743)
## factor(KIDTWIN)22 0.1497* (0.06683)
## factor(KIDBORD)2 -0.03174. (0.01667)
## factor(KIDBORD)3 -0.08099*** (0.01679)
## factor(KIDBORD)4 -0.1068*** (0.02963)
## factor(KIDBORD)5 -0.0405 (0.05325)
## factor(KIDBORD)6 -0.09492 (0.07233)
## factor(KIDBORD)7 -0.05353 (0.06944)
## factor(KIDBORD)8 0.08417 (0.1136)
## factor(KIDBORD)9 -0.03759 (0.2256)
## factor(KIDBORD)10 0.1486* (0.07023)
## factor(KIDBORD)11 -0.305*** (0.07297)
## factor(KIDBORD)12 -0.4279. (0.2358)
## factor(RELIGION)1000 0.5468** (0.1965)
## factor(RELIGION)2000 0.5221** (0.1979)
## factor(RELIGION)3000 0.4652* (0.2052)
## factor(RELIGION)4000 0.5183** (0.1942)
## factor(RELIGION)6402 0.512** (0.1941)
## factor(RELIGION)7200 0.5651* (0.261)
## factor(RELIGION)7400 0.6868*** (0.1982)
## factor(RELIGION)9000 0.542** (0.1993)
## factor(RELIGION)9998 0.2632 (0.2207)
## factor(URBAN)2 -0.03433 (0.02283)
## WEALTHS 0.08028*** (0.01237)
## mean_children -0.03557 (0.06041)
## literacy -0.145 (0.1735)
## mean_wealth 0.1318 (0.09162)
## urban_per -0.1622 (0.1075)
## Fixed-Effects: ---------------------
## district_name Yes
## bday_mo Yes
## GEO_IA1992_2015^bday_year Yes
## _________________________ _____________________
## S.E.: Clustered by: district_name
## Observations 6,917
## R2 0.206073
## Within R2 0.072502======================================================================
Event Study
Results
## es_2
## Dependent Var.: log(BIRTHWT)
##
## `time_diff_months.cat_(-Inf,-36]` -0.0257 (0.04068)
## close 1.834 (8238.7)
## `time_diff_months.cat_(-36,-19]` -0.02156 (0.02337)
## `time_diff_months.cat_(-19,-9]` -0.02947 (0.02855)
## `time_diff_months.cat_(-9,0]` 0.01531 (0.02702)
## `time_diff_months.cat_(0,9]` 0.01189 (0.0284)
## `time_diff_months.cat_(9,18]` 0.0215 (0.02999)
## `time_diff_months.cat_(18,Inf]` 0.0837. (0.04691)
## factor(EDUCLVL)1 -0.1249*** (0.0173)
## factor(EDUCLVL)2 -0.3451*** (0.01887)
## factor(EDUCLVL)3 -0.5256*** (0.03425)
## factor(EDUCLVL)8 0.03381 (0.1501)
## factor(URBAN)2 0.3087*** (0.026)
## factor(KIDSEX)2 0.000386 (0.009633)
## factor(KIDTWIN)21 -0.3526** (0.1233)
## factor(KIDTWIN)22 -0.326** (0.125)
## factor(KIDTWIN)23 0.2101** (0.06688)
## factor(KIDBORD)2 0.09671*** (0.01594)
## factor(KIDBORD)3 0.1306*** (0.01665)
## factor(KIDBORD)4 0.1473*** (0.01887)
## factor(KIDBORD)5 0.1505*** (0.02877)
## factor(KIDBORD)6 0.1654*** (0.02984)
## factor(KIDBORD)7 0.1451*** (0.02852)
## factor(KIDBORD)8 0.1669*** (0.02753)
## factor(KIDBORD)9 0.152* (0.06241)
## factor(KIDBORD)10 0.2557*** (0.04443)
## factor(KIDBORD)11 0.2719*** (0.07031)
## factor(KIDBORD)12 -0.06251 (0.1563)
## factor(KIDBORD)13 0.4068* (0.1653)
## factor(KIDBORD)14 0.299*** (0.08491)
## factor(RELIGION)1000 -0.05784 (0.1827)
## factor(RELIGION)2000 -0.06519 (0.1816)
## factor(RELIGION)3000 -0.1056 (0.2235)
## factor(RELIGION)4000 -0.1148 (0.1785)
## factor(RELIGION)6402 -0.1588 (0.2693)
## factor(RELIGION)7200 0.1136 (0.2168)
## factor(RELIGION)7400 0.1582 (0.2163)
## factor(RELIGION)9000 -0.1721 (0.1841)
## factor(RELIGION)9998 -0.2668 (0.5227)
## mean_children 0.05426 (0.04677)
## literacy -0.05667 (0.1705)
## mean_wealth -0.2222* (0.09093)
## urban_per 0.1882 (0.1206)
## `time_diff_months.cat_(-Inf,-36]` x close 0.05531 (0.0707)
## close x `time_diff_months.cat_(-36,-19]` 0.0298 (0.05802)
## close x `time_diff_months.cat_(-19,-9]` 0.05778 (0.0619)
## close x `time_diff_months.cat_(-9,0]` -0.04604 (0.05713)
## close x `time_diff_months.cat_(0,9]` -0.009661 (0.07177)
## close x `time_diff_months.cat_(9,18]` -0.02745 (0.05719)
## close x `time_diff_months.cat_(18,Inf]` -0.02185 (0.07429)
## Fixed-Effects: --------------------
## district_name Yes
## bday_mo Yes
## GEO_IA1992_2015^bday_year Yes
## ________________________________________ ____________________
## S.E.: Clustered by: district_name
## Observations 18,659
## R2 0.38801
## Within R2 0.18813Event study plot
