On this R-data statistics page, you will find information about the Treatment data set which pertains to Evaluating Treatment Effect of Training on Earnings . The Treatment data set is found in the Ecdat R package. You can load the Treatment data set in R by issuing the following command at the console data("Treatment"). This will load the data into a variable called Treatment. If R says the Treatment data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Treatment R data set. The size of this file is about 155,224 bytes.

Evaluating Treatment Effect of Training on Earnings

Description

a cross-section from 1974

number of observations : 2675

country : United States

Usage

data(Treatment)

Format

A dataframe containing :

treat

treated ?

age

age

educ

education in years

ethn

a factor with levels ("other","black","hispanic")

married

married ?

re74

real annual earnings in 1974 (pre-treatment)

re75

real annual earnings in 1975 (pre-treatment)

re78

real annual earnings in 1978 (post-treatment)

u74

unemployed in 1974 ?

u75

unemployed in 1975 ?

Source

Lalonde, R. (1986) “Evaluating the Econometric Evaluations of Training Programs with Experimental Data”, American Economic Review, 604–620.

Dehejia, R.H. and S. Wahba (1999) “Causal Effects in Nonexperimental Studies: reevaluating the Evaluation of Training Programs”, Jasa, 1053–1062.

Dehejia, R.H. and S. Wahba (2002) “Propensity-score Matching Methods for Nonexperimental Causal Studies”, Restat, 151–161.

References

Cameron, A.C. and P.K. Trivedi (2005) Microeconometrics : methods and applications, Cambridge, pp. 889–95.

See Also

Index.Source, Index.Economics, Index.Econometrics, Index.Observations

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Dataset imported from https://www.r-project.org.