NSW: Dataset from Dehejia and Wahba (1999)
In kolesarm/ATEHonest: Honest Inference for Treatment Effects under Unconfoundedness
Description
Usage
Format
Source
References
Description
Subset of National Supported Work and PSID data from Dehejia and Wahba
(1999).
Usage
1
Format
A data frame with 2,675 observations (2,490 controls from PSID, and
185 treated individuals from NSW) and 11 variables.
- treated
Treatment indicator
- age
Age in years
- education
Year of education
- black
Indicator for black
- hispanic
Indicator for Hispanic
- married
Indicator for married
- re74
Earnings in 1974 (in thousands of dollars)
- re75
Earnings in 1975 (in thousands of dollars)
- re78
Earnings in 1978 (in thousands of dollars)
- ue74
Indicator for zero earnings in 1974
- ue75
Indicator for zero earnings in 1975
Source
Rajeev Dehejia's website,
http://users.nber.org/~rdehejia/nswdata2.html
References
Dehejia, R., and Wahba, S. (1999),
"Causal Effects in Nonexperimental Studies: Reevaluating
the Evaluation of Training Programs,"
Journal of the American Statistical Association, 94 (448), 1053-1062.
kolesarm/ATEHonest documentation built on Nov. 14, 2020, 4:50 a.m.
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Description Usage Format Source References
Description
Subset of National Supported Work and PSID data from Dehejia and Wahba (1999).
Usage
1 |
Format
A data frame with 2,675 observations (2,490 controls from PSID, and 185 treated individuals from NSW) and 11 variables.
- treated
Treatment indicator
- age
Age in years
- education
Year of education
- black
Indicator for black
- hispanic
Indicator for Hispanic
- married
Indicator for married
- re74
Earnings in 1974 (in thousands of dollars)
- re75
Earnings in 1975 (in thousands of dollars)
- re78
Earnings in 1978 (in thousands of dollars)
- ue74
Indicator for zero earnings in 1974
- ue75
Indicator for zero earnings in 1975
Source
Rajeev Dehejia's website, http://users.nber.org/~rdehejia/nswdata2.html
References
Dehejia, R., and Wahba, S. (1999), "Causal Effects in Nonexperimental Studies: Reevaluating the Evaluation of Training Programs," Journal of the American Statistical Association, 94 (448), 1053-1062.
R Package Documentation
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