LaLonde: LaLonde data set
In nawtilus: Navigated Weighting for the Inverse Probability Weighting
Description
Usage
Format
Source
References
Description
Data from the National Supported Work Demonstration Program and
the Panel Study for Income Dynamics. A benchmark data set, which is
extensively analyzed by LaLonde (1986), Dehejia and Wahba (1999), and Imai
and Ratkovic (2014).
Usage
1
Format
A data frame with 3212 observations and 12 variables.
- exper
an indicator for whether the observed unit was in the
experimental subset
- treat
an indicator for whether the individual received the treatment
- age
age in years
- educ
schooling in years
- black
an indicator for black
- hisp
an indicator for Hispanic
- married
an indicator for marriage status, one for married
- nodegr
an indicator for no high school degree
- re74
reported earnings in 1974
- re75
reported earnings in 1975
- re78
reported earnings in 1978
- re74.miss
an indicator for whether the 1974 earnings variable is
missing
Data not missing 1974 earnings are the Dehejia-Wahba subsample of the LaLonde
data. Missing values for 1974 earnings set to zero. 1974 and 1975 earnings
are pre-treatment. 1978 earnings is taken as the outcome variable.
Source
This version of the data is from LaLonde data in CBPS package.
References
Dehejia, Rajeev H., and Sadek Wahba. 1999. "Causal Effects in
Nonexperimental Studies: Reevaluating the Evaluation of Training Programs."
Journal of the American Statistical Association 94 (448): 1053–62.
Imai, Kosuke and Marc Ratkovic. 2014. "Covariate Balancing
Propensity Score." Journal of the Royal Statistical Society, Series B
(Statistical Methodology) 76 (1): 243–63.
LaLonde, Robert J. 1986. "Evaluating the Econometric Evaluations
of Training Programs with Experimental Data." American Economic Review 76
(4): 604–20.
nawtilus documentation built on July 23, 2020, 5:09 p.m.
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Description Usage Format Source References
Description
Data from the National Supported Work Demonstration Program and the Panel Study for Income Dynamics. A benchmark data set, which is extensively analyzed by LaLonde (1986), Dehejia and Wahba (1999), and Imai and Ratkovic (2014).
Usage
1 |
Format
A data frame with 3212 observations and 12 variables.
- exper
an indicator for whether the observed unit was in the experimental subset
- treat
an indicator for whether the individual received the treatment
- age
age in years
- educ
schooling in years
- black
an indicator for black
- hisp
an indicator for Hispanic
- married
an indicator for marriage status, one for married
- nodegr
an indicator for no high school degree
- re74
reported earnings in 1974
- re75
reported earnings in 1975
- re78
reported earnings in 1978
- re74.miss
an indicator for whether the 1974 earnings variable is missing
Data not missing 1974 earnings are the Dehejia-Wahba subsample of the LaLonde data. Missing values for 1974 earnings set to zero. 1974 and 1975 earnings are pre-treatment. 1978 earnings is taken as the outcome variable.
Source
This version of the data is from LaLonde data in CBPS package.
References
Dehejia, Rajeev H., and Sadek Wahba. 1999. "Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training Programs." Journal of the American Statistical Association 94 (448): 1053–62.
Imai, Kosuke and Marc Ratkovic. 2014. "Covariate Balancing Propensity Score." Journal of the Royal Statistical Society, Series B (Statistical Methodology) 76 (1): 243–63.
LaLonde, Robert J. 1986. "Evaluating the Econometric Evaluations of Training Programs with Experimental Data." American Economic Review 76 (4): 604–20.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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