## reg_1
## Dependent Var.: neo_death
##
## treated 0.008799 (0.005296)
## Fixed-Effects: -------------------
## district_name Yes
## mo_year Yes
## GEO_IA1992_2015^KIDBIRTHYR Yes
## __________________________ ___________________
## S.E.: Clustered by: district_name
## Observations 160,006
## R2 0.041361
## Within R2 0.025014
## reg_2
## Dependent Var.: inf_death
##
## treated 0.01591** (0.004766)
## Fixed-Effects: --------------------
## district_name Yes
## mo_year Yes
## GEO_IA1992_2015^KIDBIRTHYR Yes
## __________________________ ____________________
## S.E.: Clustered by: district_name
## Observations 160,006
## R2 0.046723
## Within R2 0.022672
District level urbanicity
## reg_2rur reg_2urb
## Dependent Var.: inf_death inf_death
##
## treated 0.02693*** (0.007444) -0.001442 (0.01181)
## Fixed-Effects: --------------------- -------------------
## district_name Yes Yes
## mo_year Yes Yes
## GEO_IA1992_2015^KIDBIRTHYR Yes Yes
## __________________________ _____________________ ___________________
## S.E.: Clustered by: district_name by: district_name
## Observations 79,312 80,694
## R2 0.053392 0.055391
## Within R2 0.024569 0.0218
District Level Wealth
## reg_2poor reg_2rich
## Dependent Var.: inf_death inf_death
##
## treated 0.01874 (0.01192) 0.02064* (0.008892)
## Fixed-Effects: ----------------- -------------------
## district_name Yes Yes
## mo_year Yes Yes
## GEO_IA1992_2015^KIDBIRTHYR Yes Yes
## __________________________ _________________ ___________________
## S.E.: Clustered by: district_name by: district_name
## Observations 79,128 80,878
## R2 0.062156 0.045379
## Within R2 0.031169 0.018663
District-level literacy rate
## reg_2notlit reg_2lit
## Dependent Var.: inf_death inf_death
##
## treated 0.02044* (0.009039) -0.004957 (0.01928)
## Fixed-Effects: ------------------- -------------------
## district_name Yes Yes
## mo_year Yes Yes
## GEO_IA1992_2015^KIDBIRTHYR Yes Yes
## __________________________ ___________________ ___________________
## S.E.: Clustered by: district_name by: district_name
## Observations 80,887 79,119
## R2 0.046918 0.060102
## Within R2 0.02236 0.024816
District level urbanicity
## reg_3rur reg_3urb
## Dependent Var.: neo_death neo_death
##
## treated 0.01648* (0.006964) -0.006683 (0.00646)
## Fixed-Effects: ------------------- -------------------
## district_name Yes Yes
## mo_year Yes Yes
## GEO_IA1992_2015^KIDBIRTHYR Yes Yes
## __________________________ ___________________ ___________________
## S.E.: Clustered by: district_name by: district_name
## Observations 79,312 80,694
## R2 0.048514 0.051973
## Within R2 0.025441 0.0255
District Level Wealth
## reg_3poor reg_3rich
## Dependent Var.: neo_death neo_death
##
## treated 0.01064 (0.01048) 0.01251. (0.00649)
## Fixed-Effects: ----------------- ------------------
## district_name Yes Yes
## mo_year Yes Yes
## GEO_IA1992_2015^KIDBIRTHYR Yes Yes
## __________________________ _________________ __________________
## S.E.: Clustered by: district_name by: district_name
## Observations 79,128 80,878
## R2 0.06052 0.041531
## Within R2 0.034592 0.020179
District-level literacy rate
## reg_3notlit reg_3lit
## Dependent Var.: neo_death neo_death
##
## treated 0.008681 (0.007667) 0.00048 (0.01304)
## Fixed-Effects: ------------------- -----------------
## district_name Yes Yes
## mo_year Yes Yes
## GEO_IA1992_2015^KIDBIRTHYR Yes Yes
## __________________________ ___________________ _________________
## S.E.: Clustered by: district_name by: district_name
## Observations 80,887 79,119
## R2 0.043723 0.058276
## Within R2 0.023324 0.028986