nsw contains all the subsamples of from the
National Supported Work (NSW) Demonstration analyzed used by Smith and Todd (2005)
in their paper "Does matching overcome LaLonde's critique of nonexperimental estimators?".
A data frame in "wide" format with 19204 observations on the following and 14 variables:
an indicator variable for treatment status. Missing if not part of the NSW experimental sample
age in years.
years of schooling.
indicator variable for blacks.
indicator variable for martial status.
indicator variable for high school diploma.
indicator variable for inclusion in Dehejia and Wahba sample. Missing if not part of the experimental sample
real earnings in 1974 (pre-treatment).
real earnings in 1975 (pre-treatment).
real earnings in 1978 (post-treatment).
indicator variable for Hispanics.
indicator variable for inclusion in the early random assignment sample in Smith and Todd (2005). Missing if not part of the experimental sample
1 if NSW (experimental sample), 2 if CPS comparison group, 3 if PSID comparison group.
1 if in experimental sample, 0 otherwise.
Diamond, Alexis, and Sekhon, Jasjeet S. (2013), 'Genetic Matching for Estimating Causal Effects: A General Multivariate Matching Method for Achieving Balance in Observational Studies' Review of Economics and Statistics, vol. 95 , pp. 932-945, doi:10.1162/REST_a_00318
Smith, Jeffrey, and Todd, Petra (2005), Does matching overcome LaLonde's critique of nonexperimental estimators?' Journal of Econometrics, vol. 125, pp. 305-353, doi:10.1016/j.jeconom.2004.04.011