| lalonde {lmw} | R Documentation |
Data from National Supported Work Demonstration and PSID, as analyzed by Dehejia and Wahba (1999).
Description
This is a subsample of the data from the treated group in the National Supported Work Demonstration (NSW) and the comparison sample from the Population Survey of Income Dynamics (PSID). This data was previously analyzed extensively by Lalonde (1986) and Dehejia and Wahba (1999). The original dataset is available at https://users.nber.org/~rdehejia/nswdata2.html.
Usage
lalonde
Format
A data frame with 2675 observations (185 treated, 2490 control). There
are 9 variables measured for each individual. In addition, two constructed variables are included: treat_multi, which splits the original control group into two, and Ins, which is a constructed instrumental variable.
"treat" is the treatment assignment (1=treated, 0=control).
"age" is age in years.
"education" is education in number of years of schooling.
"race" is the individual's race/ethnicity, (Black, Hispanic, or White).
"married" is an indicator for married (1=married, 0=not married).
"nodegree" is an indicator for whether the individual lacks a high school degree (i.e., has fewer than 12 years of schooling; 1=no degree, 0=degree).
"re74" is income in 1974, in U.S. dollars.
"re75" is income in 1975, in U.S. dollars.
"re78" is income in 1978, in U.S. dollars.
"treat_multi" is a constructed version of "treat" that splits the control group into to levels (1=treated, 2=control group A, 3=control group B).
"Ins" is a binary instrumental variable.
"treat" is the treatment variable, "re78" is the outcome, and the others are pre-treatment covariates. Note that in the original data, "race" is instead coded as two dummy variables, "black" and "hispan".
Details
The data corresponds to the NSW treated sample and the PSID control sample with 1974 earnings included. This specific dataset is different from the one in the MatchIt and cobalt packages, which is a subset of this dataset.
References
Lalonde, R. (1986). Evaluating the econometric evaluations of training programs with experimental data. American Economic Review 76: 604-620.
Dehejia, R.H. and Wahba, S. (1999). Causal Effects in Nonexperimental Studies: Re-Evaluating the Evaluation of Training Programs. Journal of the American Statistical Association 94: 1053-1062.