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 25% 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: 671"## [1] "average birth weight: 2854.79248626264"Regression Results
## reg_1
## Dependent Var.: log(BIRTHWT)
##
## treated 0.002882 (0.009985)
## factor(EDUCLVL)1 0.01087* (0.004966)
## factor(EDUCLVL)2 0.01935*** (0.004187)
## factor(EDUCLVL)3 0.04669*** (0.005922)
## factor(EDUCLVL)8 0.0697. (0.03973)
## factor(KIDSEX)2 -0.02481*** (0.002502)
## factor(KIDTWIN)21 -0.2947*** (0.01871)
## factor(KIDTWIN)22 -0.3325*** (0.03053)
## factor(KIDTWIN)23 -1.187*** (0.2101)
## factor(KIDBORD)2 0.02003*** (0.003637)
## factor(KIDBORD)3 0.02411*** (0.004553)
## factor(KIDBORD)4 0.03713*** (0.007079)
## factor(KIDBORD)5 0.04346*** (0.01023)
## factor(KIDBORD)6 0.04792*** (0.0121)
## factor(KIDBORD)7 0.05042. (0.02609)
## factor(KIDBORD)8 0.05403 (0.03924)
## factor(KIDBORD)9 0.05972 (0.03849)
## factor(KIDBORD)10 -0.0286 (0.1107)
## factor(KIDBORD)11 0.04244 (0.05717)
## factor(KIDBORD)12 -0.02889 (0.1144)
## factor(KIDBORD)13 -0.1928* (0.07714)
## factor(KIDBORD)14 0.1047*** (0.01558)
## factor(KIDBORD)15 0.1741*** (0.01617)
## factor(RELIGION)1000 -0.01868 (0.07869)
## factor(RELIGION)2000 -0.02286 (0.07806)
## factor(RELIGION)3000 -0.02345 (0.07962)
## factor(RELIGION)4000 -0.03258 (0.07871)
## factor(RELIGION)6402 -0.2384* (0.1193)
## factor(RELIGION)7200 -0.1443 (0.1207)
## factor(RELIGION)7300 0.05626 (0.07938)
## factor(RELIGION)7400 -0.04713 (0.09393)
## factor(RELIGION)9000 -0.05875 (0.07995)
## factor(RELIGION)9998 -0.02364 (0.08825)
## factor(URBAN)2 0.004448 (0.004147)
## WEALTHS 0.02047*** (0.002425)
## mean_children -0.008453 (0.02218)
## literacy -0.007829 (0.07765)
## mean_wealth -0.0211 (0.0277)
## urban_per -0.003559 (0.03786)
## Fixed-Effects: ----------------------
## district_name Yes
## bday_mo Yes
## GEO_IA1992_2015^bday_year Yes
## _________________________ ______________________
## S.E.: Clustered by: district_name
## Observations 50,225
## R2 0.083151
## Within R2 0.048553Only first two waves
## [1] "# of children in the sample:6917"## [1] "# of treated children: 261"## [1] "average birth weight: 2858.01199942171"Regression Results with only the first 2 waves
## reg_no_2015
## Dependent Var.: log(BIRTHWT)
##
## treated 0.01904 (0.04384)
## factor(EDUCLVL)1 0.02468 (0.02053)
## factor(EDUCLVL)2 0.03882* (0.0167)
## factor(EDUCLVL)3 0.09654*** (0.02198)
## factor(EDUCLVL)8 0.07855. (0.04565)
## factor(KIDSEX)2 -0.03569*** (0.009486)
## factor(KIDTWIN)21 -0.3335*** (0.09416)
## factor(KIDTWIN)22 -0.3795*** (0.1047)
## factor(KIDBORD)2 0.02088* (0.008885)
## factor(KIDBORD)3 0.04155** (0.0137)
## factor(KIDBORD)4 0.03692* (0.01852)
## factor(KIDBORD)5 0.112** (0.04015)
## factor(KIDBORD)6 0.03566 (0.04286)
## factor(KIDBORD)7 0.1699*** (0.04406)
## factor(KIDBORD)8 0.09473 (0.1012)
## factor(KIDBORD)9 0.002381 (0.1191)
## factor(KIDBORD)10 -0.0186 (0.08289)
## factor(KIDBORD)11 -0.2174*** (0.05637)
## factor(KIDBORD)12 0.2456*** (0.05424)
## factor(RELIGION)1000 0.1227 (0.08081)
## factor(RELIGION)2000 0.1072 (0.08105)
## factor(RELIGION)3000 0.1127 (0.1008)
## factor(RELIGION)4000 0.07743 (0.08146)
## factor(RELIGION)6402 -0.115 (0.1608)
## factor(RELIGION)7200 -0.03506 (0.2065)
## factor(RELIGION)7400 0.166 (0.1116)
## factor(RELIGION)9000 0.07165 (0.08755)
## factor(RELIGION)9998 0.1089 (0.08942)
## factor(URBAN)2 0.0105 (0.01196)
## WEALTHS 0.03065*** (0.00803)
## mean_children -0.05903 (0.0419)
## literacy 0.03371 (0.121)
## mean_wealth -0.0999. (0.05893)
## urban_per 0.01953 (0.07293)
## treated x WEALTHS -0.04136 (0.05543)
## Fixed-Effects: ----------------------
## district_name Yes
## bday_mo Yes
## GEO_IA1992_2015^bday_year Yes
## _________________________ ______________________
## S.E.: Clustered by: district_name
## Observations 6,916
## R2 0.152107
## Within R2 0.054758Breakdown into SES
Low wealth / only rural
- low wealth
- only rural
## reg_low reg_rural
## Dependent Var.: log(BIRTHWT) log(BIRTHWT)
##
## treated -0.00578 (0.01481) -0.004125 (0.01057)
## factor(EDUCLVL)1 0.01539** (0.004823) 0.01146. (0.005892)
## factor(EDUCLVL)2 0.02198*** (0.005091) 0.01891*** (0.004531)
## factor(EDUCLVL)3 0.03871** (0.01228) 0.04892*** (0.007409)
## factor(EDUCLVL)8 0.2904. (0.151) 0.05771 (0.07469)
## factor(KIDSEX)2 -0.01936*** (0.003455) -0.02306*** (0.002595)
## factor(KIDTWIN)21 -0.2468*** (0.02818) -0.2835*** (0.0215)
## factor(KIDTWIN)22 -0.2606*** (0.04384) -0.3201*** (0.03713)
## factor(KIDBORD)2 0.02589*** (0.004823) 0.02231*** (0.003832)
## factor(KIDBORD)3 0.01901** (0.006779) 0.02068*** (0.005527)
## factor(KIDBORD)4 0.04088*** (0.009588) 0.03999*** (0.008128)
## factor(KIDBORD)5 0.04681*** (0.01273) 0.05158*** (0.0126)
## factor(KIDBORD)6 0.04529*** (0.01312) 0.04807*** (0.01332)
## factor(KIDBORD)7 0.0305 (0.03096) 0.03506 (0.03167)
## factor(KIDBORD)8 0.05743 (0.04492) 0.04205 (0.03169)
## factor(KIDBORD)9 0.08702. (0.04674) 0.07794 (0.05313)
## factor(KIDBORD)10 -0.0264 (0.1185) -0.0218 (0.12)
## factor(KIDBORD)11 0.07641 (0.06759) 0.06411 (0.06955)
## factor(KIDBORD)12 0.03203 (0.1744) -0.0309 (0.1324)
## factor(KIDBORD)13 -0.1889* (0.07713) -0.1981* (0.0794)
## factor(RELIGION)1000 -0.1108 (0.08123) -0.03907 (0.08897)
## factor(RELIGION)2000 -0.1228 (0.08043) -0.06097 (0.08583)
## factor(RELIGION)3000 -0.09473 (0.08304) -0.04689 (0.08998)
## factor(RELIGION)4000 -0.1355. (0.08103) -0.06775 (0.08888)
## factor(RELIGION)6402 -0.3552*** (0.1008) -0.183 (0.1211)
## factor(RELIGION)7200 -0.6411*** (0.1157) -0.3878** (0.1454)
## factor(RELIGION)7400 0.08169 (0.1074) -0.1142 (0.1064)
## factor(RELIGION)9000 -0.1554. (0.08415) -0.08072 (0.09009)
## factor(RELIGION)9998 -0.1572 (0.09865) -0.09253 (0.09711)
## mean_children 0.03684 (0.04523) -0.006753 (0.02922)
## literacy 0.0171 (0.1849) -0.03072 (0.1268)
## mean_wealth -0.08993 (0.06017) -0.06028 (0.0396)
## urban_per 0.1024 (0.06674) 0.0612 (0.04875)
## WEALTHS 0.01907*** (0.00492) 0.01913*** (0.003148)
## factor(KIDTWIN)23 -1.185*** (0.2015)
## factor(KIDBORD)14 0.1068*** (0.01678)
## 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 23,768 33,740
## R2 0.08818 0.093406
## Within R2 0.03061 0.048485Interactions 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 0.003361 (0.0107) -0.005021 (0.01664)
## factor(EDUCLVL)1 0.01087* (0.004966) 0.01087* (0.004965)
## factor(EDUCLVL)2 0.01935*** (0.004188) 0.01935*** (0.004188)
## factor(EDUCLVL)3 0.04669*** (0.005922) 0.04671*** (0.005925)
## factor(EDUCLVL)8 0.06968. (0.03973) 0.06977. (0.03974)
## factor(KIDSEX)2 -0.02481*** (0.002502) -0.02482*** (0.002502)
## factor(KIDTWIN)21 -0.2947*** (0.01871) -0.2947*** (0.01872)
## factor(KIDTWIN)22 -0.3325*** (0.03053) -0.3324*** (0.03054)
## factor(KIDTWIN)23 -1.187*** (0.2101) -1.187*** (0.2101)
## factor(KIDBORD)2 0.02003*** (0.003637) 0.02003*** (0.003638)
## factor(KIDBORD)3 0.02411*** (0.004553) 0.02411*** (0.004553)
## factor(KIDBORD)4 0.03713*** (0.007078) 0.03715*** (0.007079)
## factor(KIDBORD)5 0.04346*** (0.01023) 0.04347*** (0.01023)
## factor(KIDBORD)6 0.04791*** (0.0121) 0.04793*** (0.0121)
## factor(KIDBORD)7 0.05044. (0.0261) 0.05042. (0.02609)
## factor(KIDBORD)8 0.054 (0.03924) 0.05409 (0.03925)
## factor(KIDBORD)9 0.05973 (0.0385) 0.05971 (0.0385)
## factor(KIDBORD)10 -0.0286 (0.1107) -0.02856 (0.1107)
## factor(KIDBORD)11 0.04243 (0.05717) 0.04244 (0.05717)
## factor(KIDBORD)12 -0.02889 (0.1144) -0.02889 (0.1144)
## factor(KIDBORD)13 -0.1928* (0.07714) -0.1928* (0.07714)
## factor(KIDBORD)14 0.1047*** (0.01559) 0.1047*** (0.01559)
## factor(KIDBORD)15 0.1741*** (0.01617) 0.1741*** (0.01617)
## factor(RELIGION)1000 -0.01867 (0.0787) -0.01869 (0.0787)
## factor(RELIGION)2000 -0.02286 (0.07807) -0.02288 (0.07808)
## factor(RELIGION)3000 -0.02343 (0.07963) -0.02345 (0.07963)
## factor(RELIGION)4000 -0.03257 (0.07872) -0.03259 (0.07872)
## factor(RELIGION)6402 -0.2385* (0.1192) -0.2377* (0.1192)
## factor(RELIGION)7200 -0.1443 (0.1208) -0.1444 (0.1208)
## factor(RELIGION)7300 0.05627 (0.07939) 0.05627 (0.07938)
## factor(RELIGION)7400 -0.04711 (0.09395) -0.04715 (0.09394)
## factor(RELIGION)9000 -0.05874 (0.07996) -0.05876 (0.07995)
## factor(RELIGION)9998 -0.02359 (0.08831) -0.02379 (0.08829)
## factor(URBAN)2 0.004447 (0.004147) 0.004448 (0.004147)
## WEALTHS 0.02047*** (0.002425) 0.02047*** (0.002425)
## mean_children -0.00845 (0.02218) -0.008473 (0.02217)
## literacy -0.007771 (0.07769) -0.00823 (0.07782)
## mean_wealth -0.02108 (0.02767) -0.02101 (0.02773)
## urban_per -0.003586 (0.03784) -0.003724 (0.03787)
## treated x mean_wealth -0.002735 (0.0209)
## treated x urban_per 0.02036 (0.03916)
## 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 50,225 50,225
## R2 0.083151 0.083153
## Within R2 0.048553 0.048555
## reg_4
## Dependent Var.: log(BIRTHWT)
##
## treated 0.004216 (0.0683)
## factor(EDUCLVL)1 0.01087* (0.004965)
## factor(EDUCLVL)2 0.01935*** (0.004187)
## factor(EDUCLVL)3 0.04669*** (0.005918)
## factor(EDUCLVL)8 0.06969. (0.03962)
## factor(KIDSEX)2 -0.02481*** (0.002502)
## factor(KIDTWIN)21 -0.2947*** (0.01871)
## factor(KIDTWIN)22 -0.3325*** (0.03053)
## factor(KIDTWIN)23 -1.187*** (0.2101)
## factor(KIDBORD)2 0.02003*** (0.003637)
## factor(KIDBORD)3 0.02411*** (0.004553)
## factor(KIDBORD)4 0.03713*** (0.00708)
## factor(KIDBORD)5 0.04346*** (0.01023)
## factor(KIDBORD)6 0.04792*** (0.0121)
## factor(KIDBORD)7 0.05042. (0.02609)
## factor(KIDBORD)8 0.05402 (0.03924)
## factor(KIDBORD)9 0.05972 (0.0385)
## factor(KIDBORD)10 -0.0286 (0.1107)
## factor(KIDBORD)11 0.04244 (0.05717)
## factor(KIDBORD)12 -0.02888 (0.1144)
## factor(KIDBORD)13 -0.1928* (0.07714)
## factor(KIDBORD)14 0.1047*** (0.01558)
## factor(KIDBORD)15 0.1741*** (0.01617)
## factor(RELIGION)1000 -0.01868 (0.0787)
## factor(RELIGION)2000 -0.02287 (0.07806)
## factor(RELIGION)3000 -0.02344 (0.07963)
## factor(RELIGION)4000 -0.03258 (0.07871)
## factor(RELIGION)6402 -0.2383* (0.1194)
## factor(RELIGION)7200 -0.1443 (0.1208)
## factor(RELIGION)7300 0.05626 (0.07938)
## factor(RELIGION)7400 -0.04713 (0.09394)
## factor(RELIGION)9000 -0.05875 (0.07995)
## factor(RELIGION)9998 -0.02362 (0.08838)
## factor(URBAN)2 0.004448 (0.004147)
## WEALTHS 0.02047*** (0.002425)
## mean_children -0.008459 (0.02216)
## literacy -0.007793 (0.07777)
## mean_wealth -0.02109 (0.02768)
## urban_per -0.003578 (0.03783)
## treated x mean_wealth
## treated x urban_per
## treated x literacy -0.002027 (0.09742)
## Fixed-Effects: ----------------------
## district_name Yes
## bday_mo Yes
## GEO_IA1992_2015^bday_year Yes
## _________________________ ______________________
## S.E.: Clustered by: district_name
## Observations 50,225
## R2 0.083151
## Within R2 0.048553Breastfeeding regression results
## reg_bsfd
## Dependent Var.: BRSFEDUR
##
## treated -2.557. (1.382)
## factor(EDUCLVL)1 0.2774 (0.6727)
## factor(EDUCLVL)2 0.5294 (0.5192)
## factor(EDUCLVL)3 0.6182 (0.8438)
## factor(EDUCLVL)8 -6.208** (2.069)
## factor(KIDSEX)2 -0.01895 (0.1952)
## factor(KIDTWIN)21 -8.46*** (1.112)
## factor(KIDTWIN)22 -0.71 (1.119)
## factor(KIDTWIN)23 -3.137 (3.721)
## factor(KIDBORD)2 1.504*** (0.2647)
## factor(KIDBORD)3 1.372*** (0.3212)
## factor(KIDBORD)4 1.664** (0.6186)
## factor(KIDBORD)5 1.494. (0.8327)
## factor(KIDBORD)6 3.02** (1.071)
## factor(KIDBORD)7 -0.07592 (1.653)
## factor(KIDBORD)8 4.818. (2.813)
## factor(KIDBORD)9 12.55** (4.641)
## factor(KIDBORD)10 6.687** (2.157)
## factor(KIDBORD)11 3.289 (9.464)
## factor(KIDBORD)12 -3.527 (2.321)
## factor(KIDBORD)13 -5.98*** (1.436)
## factor(RELIGION)1000 -2.9 (5.357)
## factor(RELIGION)2000 -1.927 (5.262)
## factor(RELIGION)3000 -0.8397 (5.412)
## factor(RELIGION)4000 -3.058 (5.369)
## factor(RELIGION)6402 -11.07* (5.409)
## factor(RELIGION)7200 0.1177 (6.077)
## factor(RELIGION)7300 5.605 (5.401)
## factor(RELIGION)7400 -2.071 (5.83)
## factor(RELIGION)9000 -0.7521 (5.409)
## factor(URBAN)2 -0.0384 (0.3525)
## WEALTHS -0.3469 (0.2097)
## mean_children 0.9216 (0.8652)
## literacy -3.84 (3.675)
## mean_wealth 2.349 (1.653)
## urban_per -2.007 (1.996)
## Fixed-Effects: -----------------
## district_name Yes
## bday_mo Yes
## GEO_IA1992_2015^bday_year Yes
## _________________________ _________________
## S.E.: Clustered by: district_name
## Observations 16,898
## R2 0.170483
## Within R2 0.010195Delivery 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 -0.01142 (0.05135)
## factor(EDUCLVL)1 0.01545 (0.02814)
## factor(EDUCLVL)2 0.06141* (0.02479)
## factor(EDUCLVL)3 0.09931** (0.03171)
## factor(EDUCLVL)8 0.4068** (0.1236)
## factor(KIDSEX)2 -0.01435 (0.01228)
## factor(KIDTWIN)21 0.1424. (0.07416)
## factor(KIDTWIN)22 0.15* (0.06671)
## factor(KIDBORD)2 -0.03187. (0.01664)
## factor(KIDBORD)3 -0.08091*** (0.01681)
## factor(KIDBORD)4 -0.1068*** (0.02964)
## factor(KIDBORD)5 -0.04025 (0.05321)
## factor(KIDBORD)6 -0.09479 (0.07232)
## factor(KIDBORD)7 -0.05423 (0.06962)
## factor(KIDBORD)8 0.08428 (0.1136)
## factor(KIDBORD)9 -0.03781 (0.2257)
## factor(KIDBORD)10 0.1485* (0.07022)
## factor(KIDBORD)11 -0.3052*** (0.07311)
## factor(KIDBORD)12 -0.4278. (0.2357)
## factor(RELIGION)1000 0.5471** (0.1964)
## factor(RELIGION)2000 0.5222** (0.1977)
## factor(RELIGION)3000 0.4654* (0.2051)
## factor(RELIGION)4000 0.5186** (0.194)
## factor(RELIGION)6402 0.5099** (0.194)
## factor(RELIGION)7200 0.5653* (0.261)
## factor(RELIGION)7400 0.687*** (0.198)
## factor(RELIGION)9000 0.5423** (0.1992)
## factor(RELIGION)9998 0.2633 (0.2205)
## factor(URBAN)2 -0.03445 (0.02279)
## WEALTHS 0.08022*** (0.01237)
## mean_children -0.03589 (0.06041)
## literacy -0.1454 (0.1734)
## mean_wealth 0.1332 (0.09152)
## urban_per -0.1642 (0.1077)
## Fixed-Effects: ---------------------
## district_name Yes
## bday_mo Yes
## GEO_IA1992_2015^bday_year Yes
## _________________________ _____________________
## S.E.: Clustered by: district_name
## Observations 6,916
## R2 0.206015
## Within R2 0.072449======================================================================
Event Study
Results
## es_2
## Dependent Var.: log(BIRTHWT)
##
## `time_diff_months.cat_(-Inf,-36]` -0.02775 (0.0524)
## close 1.047 (4690.4)
## `time_diff_months.cat_(-36,-19]` -0.04082 (0.04563)
## `time_diff_months.cat_(-19,-9]` -0.04278 (0.04401)
## `time_diff_months.cat_(-9,0]` 0.03561 (0.06088)
## `time_diff_months.cat_(0,9]` -0.03684 (0.04777)
## `time_diff_months.cat_(9,18]` 0.04747 (0.05554)
## `time_diff_months.cat_(18,Inf]` 0.04958 (0.05229)
## factor(EDUCLVL)1 -0.1244*** (0.01724)
## factor(EDUCLVL)2 -0.3452*** (0.01888)
## factor(EDUCLVL)3 -0.5259*** (0.03401)
## factor(EDUCLVL)8 0.0347 (0.1507)
## factor(URBAN)2 0.3081*** (0.02602)
## factor(KIDSEX)2 0.0004483 (0.009688)
## factor(KIDTWIN)21 -0.3526** (0.1232)
## factor(KIDTWIN)22 -0.3247* (0.125)
## factor(KIDTWIN)23 0.2161*** (0.05908)
## factor(KIDBORD)2 0.09614*** (0.01589)
## factor(KIDBORD)3 0.1299*** (0.01662)
## factor(KIDBORD)4 0.1466*** (0.01863)
## factor(KIDBORD)5 0.1491*** (0.02862)
## factor(KIDBORD)6 0.1642*** (0.0299)
## factor(KIDBORD)7 0.1439*** (0.02875)
## factor(KIDBORD)8 0.168*** (0.02758)
## factor(KIDBORD)9 0.152* (0.06318)
## factor(KIDBORD)10 0.2572*** (0.04392)
## factor(KIDBORD)11 0.257*** (0.07162)
## factor(KIDBORD)12 -0.05331 (0.1592)
## factor(KIDBORD)13 0.412* (0.1635)
## factor(KIDBORD)14 0.294** (0.09203)
## factor(RELIGION)1000 -0.06088 (0.1766)
## factor(RELIGION)2000 -0.06933 (0.175)
## factor(RELIGION)3000 -0.1079 (0.2193)
## factor(RELIGION)4000 -0.1179 (0.1725)
## factor(RELIGION)6402 -0.1667 (0.2646)
## factor(RELIGION)7200 0.1063 (0.2109)
## factor(RELIGION)7400 0.1512 (0.212)
## factor(RELIGION)9000 -0.1737 (0.1784)
## factor(RELIGION)9998 -0.2753 (0.5221)
## mean_children 0.05405 (0.04605)
## literacy -0.06362 (0.1761)
## mean_wealth -0.2216* (0.09025)
## urban_per 0.1838 (0.1181)
## `time_diff_months.cat_(-Inf,-36]` x close 0.02182 (0.06643)
## close x `time_diff_months.cat_(-36,-19]` 0.03741 (0.05022)
## close x `time_diff_months.cat_(-19,-9]` 0.08899 (0.05649)
## close x `time_diff_months.cat_(-9,0]` -0.01393 (0.0676)
## close x `time_diff_months.cat_(0,9]` 0.01254 (0.05546)
## close x `time_diff_months.cat_(9,18]` -0.05384 (0.05919)
## close x `time_diff_months.cat_(18,Inf]` -0.02355 (0.07311)
## Fixed-Effects: --------------------
## district_name Yes
## bday_mo Yes
## GEO_IA1992_2015^bday_year Yes
## ________________________________________ ____________________
## S.E.: Clustered by: district_name
## Observations 18,659
## R2 0.387949
## Within R2 0.18805Event study plot
