| nsw_long {DRDID} | R Documentation |
National Supported Work Demonstration dataset, in long format
Description
nsw_long is the same dataset as nsw but in a long format.
Usage
nsw_long
Format
A data frame in "long" format with 38408 observations on the following and 15 variables:
- id
unique identifier for each cross-sectional unit (worker).
- year
year. 1975 is the pre-treatment and 1978 is the post-treatment
- 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).
- 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.
- re
real earnings (outcome of interest).
- 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