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https://hdl.handle.net/2142/85585
Description
Title
Three Essays in Econometrics
Author(s)
Montes Roja, Gabriel V.
Issue Date
2007
Doctoral Committee Chair(s)
Bera, Anil K.
Department of Study
Economics
Discipline
Economics
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
Ph.D.
Degree Level
Dissertation
Keyword(s)
Economics, Theory
Language
eng
Abstract
Nonparametric estimators for average and quantile treatment effects are constructed using fractile graphical analysis under the identifying assumption that selection to treatment is based on observable characteristics. The proposed method has two-steps: first, the propensity score is estimated, and second, a blocking estimation procedure using this estimate is used to compute the treatment effects. In both cases, the estimators are proved to be consistent. Monte Carlo results show a better performance than other procedures based on the propensity score. Finally, these estimators are applied to a job training dataset.
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