首页    期刊浏览 2025年12月22日 星期一
登录注册

文章基本信息

  • 标题:Semiparametric Estimation of a Sample Selection Model in the Presence of Endogeneity
  • 本地全文:下载
  • 作者:Jörg Schwiebert
  • 期刊名称:Diskussionspapiere / Universität Hannover
  • 印刷版ISSN:0949-9962
  • 出版年度:2012
  • 卷号:2012
  • 出版社:Hannover
  • 摘要:In this paper, we derive a semiparametric estimation procedure for the sample selection modelwhen some covariates are endogenous. Our approach is to augment the main equation of in-terest with a control function which accounts for sample selectivity as well as endogeneity ofcovariates. In contrast to existing methods proposed in the literature, our approach allows thatthe same endogenous covariates may enter the main and the selection equation. We show thatour proposed estimator is √n-consistent and derive its asymptotic distribution. We provideMonte Carlo evidence on the small sample behavior of our estimator and present an empiricalapplication. Finally, we brie.y consider an extension of our model to quantile regression settingsand provide guidelines for estimation
  • 关键词:Sample selection model; semiparametric estimation; endogenous covariates; control;function approach; quantile regression
国家哲学社会科学文献中心版权所有