# lalonde

##### Lalonde's National Supported Work Demonstration data

One of the datasets used by Dehejia and Wahba in their paper "Causal Effects in Non-Experimental Studies: Reevaluating the Evaluation of Training Programs." Also used as an example dataset in the MatchIt package.

##### Usage

`data("lalonde")`

##### Details

This data set has been taken from `twang`

package, with small changes to field descriptions.

##### Format

A data frame with 614 observations on the following 10 variables.

`treat`

treatment indicator; 1 if treated in the National Supported Work Demonstration, 0 if from the Current Population Survey

`age`

age, a numeric vector.

`educ`

years of education, a numeric vector between 0 and 18.

`black`

a binary vector, 1 if

`black`

, 0 otherwise.`hispan`

a binary vector, 1 if

`hispanic`

, 0 otherwise.`married`

a binary vector, 1 if

`married`

, 0 otherwise.`nodegree`

a binary vector, 1 if no degree, 0 otherwise.

`re74`

earnings in 1974, a numeric vector.

`re75`

earnings in 1975, a numeric vector.

`re78`

earnings in 1978, a numeric vector (outcome variable).

##### 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.

*Documentation reproduced from package MatchLinReg, version 0.7.0, License: GPL (>= 2)*