abortion | R Documentation |
Data on abortion legalization and sexually transmitted infections
Description
This data looks at the effect of abortion legalization on the incidence of gonnorhea among 15-19 year olds, as a measure of risky behavior. Treatment is whether abortion is legalized at the time that the eventual 15-19 year olds are born.
Usage
abortion
Format
A data frame with 19584 rows and 22 variables
- fip
State FIPS code
- age
Age in years
- race
Race - 1 = white, 2 = black
- year
Year
- t
Year but counted on a different scale
- sex
Sex: 1 = male, 2 = female
- totpop
Total population
- ir
Incarcerated Males per 100,000
- crack
Crack index
- alcohol
Alcohol consumption per capita
- income
Real income per capita
- ur
State unemployment rate
- poverty
Poverty rate
- repeal
In a state with an early repeal of abortion prohibition
- acc
AIDS mortality per 100,000 cumulative in t, t-1, t-2, t-3
- wht
White Indicator
- male
Male Indicator
- lnr
Logged gonnorhea cases per 100,000 in 15-19 year olds
- younger
From the younger group
- fa
State-younger interaction
- pi
Parental involvement law in effect
- bf15
Is a black female in the 15-19 age group
Details
This data is used in the Difference-in-Differences chapter of Causal Inference: The Mixtape by Cunningham.
Source
Cunningham, Scott, and Christopher Cornwell. 2013. “The Long-Run Effect of Abortion on Sexually Transmitted Infections.” American Law and Economics Review 15 (1): 381–407.
References
Cunningham. 2021. Causal Inference: The Mixtape. Yale Press. https://mixtape.scunning.com/index.html.