abortion: Data on abortion legalization and sexually transmitted...
In causaldata: Example Data Sets for Causal Inference Textbooks

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.