Efficient semiparametric estimation of quantile treatment effects

Resumo

This paper presents calculations of semiparametric efficiency bounds for quantile treatment effects parameters when se1ection to treatment is based on observable characteristics. The paper also presents three estimation procedures forthese parameters, alI ofwhich have two steps: a nonparametric estimation and a computation ofthe difference between the solutions of two distinct minimization problems. Root-N consistency, asymptotic normality, and the achievement ofthe semiparametric efficiency bound is shown for one ofthe three estimators. In the final part ofthe paper, an empirical application to a job training program reveals the importance of heterogeneous treatment effects, showing that for this program the effects are concentrated in the upper quantiles ofthe earnings distribution.

Ficha do documento

Tipo

Estudo

Ano

2003

Instituição

Fundação Getulio Vargas. Escola de Pós-graduação em Economia

Fonte

Repositório da FGV

Idioma

Inglês

Acesso

Não informado

Identificador

oai:repositorio.fgv.br:10438/12995

Temas

Economia

Palavras-chave

Quantile treatment effectsPropensity scoreSemiparametric efficiency boundsEfficient estimationSemiparametric estimationEconomiaEconometriaModelos econométricos