Semiparametric Bayesian Inference for Inferring Quantile Treatment Effects
نویسنده
چکیده
This paper is concerned with a semiparametric Bayesian framework for estimating quantile treatment effects. A general and flexible model is specified using a generalization of the Pólya urn scheme. An exact Bayesian analysis is carried out by Markov chain Monte Carlo simulation methods. The proposed techniques are illustrated by estimating the effect of participation in the 401(k) retirement program on savings behavior. JEL classifications: C11, C15, C25, H31
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