Labour Training Evaluation Data

Description

The cps1 (15992 rows) and psid1 (2490 rows) datasets are from non-experimental "control" groups, used in various studies of the effect of a labor training program, alternative to the experimental control group in nswdemo. The cps2 (2369 rows) and cps3 (429 rows) subsets of cps1 are designed to be better matched to the experimental data than cps1. Likewise, psid2 (253 rows) and psid3 (128 rows) are subsets of psid1 that are designed to be better matched to the experimental data than psid1. The nswpsid1 dataset (2675 rows) combines the experimental treatment group in nswdemo with the psid1 control data from the Panel Study of Income Dynamics (PSID) study.

Usage

  data(psid1)
  data(nswpsid1)
  

Format

Columns are:

trt

a numeric vector identifying the study in which the subjects were enrolled (0 = Control, 1 = treated).

age

age (in years).

educ

years of education.

black

(0 = not black, 1 = black).

hisp

(0 = not hispanic, 1 = hispanic).

marr

(0 = not married, 1 = married).

nodeg

(0 = completed high school, 1 = dropout).

re74

real earnings in 1974.

re75

real earnings in 1975.

re78

real earnings in 1978.

Details

The cps1 and psid1 data sets are two non-experimental "control" groups, alternative to that in nswdemo, used in investigating whether use of such a non-experimental control group can be satisfactory. cps2 and cps3 are subsets of cps1, designed to be better matched to the experimental data than cps1. Similary psid2 and psid3 are subsets of psid1, designed to be better matched to the experimental data than psid1. nswpsid1 combines data for the experimental treatment group in nswdemo with the psid1 control data from the Panel Study of Income Dynamics (PSID) study.

Source

https://users.nber.org/~rdehejia/nswdata.html

References

Dehejia, R.H. and Wahba, S. 1999. Causal effects in non-experimental studies: re-evaluating the evaluation of training programs. Journal of the American Statistical Association 94: 1053-1062.

Lalonde, R. 1986. Evaluating the economic evaluations of training programs. American Economic Review 76: 604-620.

Smith, J. A. and Todd, P.E. "Does Matching overcome. LaLonde?s critique of nonexperimental estimators", Journal of Econometrics 125: 305-353.

Dehejia, R.H. 2005. Practical propensity score matching: a reply to Smith and Todd. Journal of Econometrics 125: 355-364.