Doubly Robust Estimation of Causal Effects with Multivalued Treatments
AbstractThis paper provides doubly robust estimators for treatment effect parameters which are defined in multivalued treatment effect framework. We apply this method on a unique data set of British Cohort Study (BCS) to estimate returns to different levels of schooling. Average returns are estimated for entire population, as well as conditional on having a specific educational achievement. The analysis is carried out for female and male samples separately to capture possible gender differences. The results indicate that, on average, the percentage wage gain due to higher education versus any other lower educational attainment is higher for highly educated females than highly educated males.
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Bibliographic InfoPaper provided by Institute for Advanced Studies in its series Economics Series with number 297.
Length: 40 pages
Date of creation: Jun 2013
Date of revision:
Postal: Institute for Advanced Studies - Library, Stumpergasse 56, A-1060 Vienna, Austria
Find related papers by JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
- I2 - Health, Education, and Welfare - - Education
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-07-15 (All new papers)
- NEP-DEM-2013-07-15 (Demographic Economics)
- NEP-ECM-2013-07-15 (Econometrics)
- NEP-EDU-2013-07-15 (Education)
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