| nsw {DRDID} | R Documentation |
National Supported Work Demonstration dataset
Description
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?".
Usage
nsw
Format
A data frame in "wide" format with 19204 observations on the following and 14 variables:
- treated
an indicator variable for treatment status. Missing if not part of the NSW experimental sample
- age
age in years.
- educ
years of schooling.
- black
indicator variable for blacks.
- married
indicator variable for martial status.
- nodegree
indicator variable for high school diploma.
- dwincl
indicator variable for inclusion in Dehejia and Wahba sample. Missing if not part of the experimental sample
- re74
real earnings in 1974 (pre-treatment).
- re75
real earnings in 1975 (pre-treatment).
- re78
real earnings in 1978 (post-treatment).
- hisp
indicator variable for Hispanics.
- early_ra
indicator variable for inclusion in the early random assignment sample in Smith and Todd (2005). Missing if not part of the experimental sample
- sample
1 if NSW (experimental sample), 2 if CPS comparison group, 3 if PSID comparison group.
- experimental
1 if in experimental sample, 0 otherwise.
Source
https://dataverse.harvard.edu/file.xhtml?persistentId=doi:10.7910/DVN/23407/DYEWLO&version=1.0.
References
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