期刊名称：Economics - The Open-Access, Open-Assessment E-Journal
印刷版ISSN：1864-6042
出版年度：2014
卷号：8
页码：1-25
出版社：Kiel Institute for the World Economy
摘要：In the presence of selection bias the traditional estimators for pseudo panel data models are inconsistent. This paper discusses a method to achieve consistency in static linear pseudo panels in the presence of selection bias and a testing procedure for sample selection bias. The authors' approach uses a bias correction term proportional to the inverse Mills ratio with argument equal to the "normit" of a consistent estimation of the conditional probability of being observed given cohort membership. Monte Carlo analysis shows the test does not reject the null for fixed T at a 5% significance level in finite samples. As a "side effect" the authors utilize the enlarged pseudo panel to provide a GMM consistent estimation of the pseudo panel parameters under rejection of the null and apply the procedure to estimate the rate of return to education in Colombia.
关键词：Repeated cross-section models; selectivity bias testing; returns to education
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