Nonparametric Identification and Estimation in a Roy Model With Common Nonpecuniary Returns
研究了一个包含共同非金钱效用的罗伊模型的识别与估计方法，开发了两种非参数估计器，并应用于迁移行为分析，发现纠正罗伊排序偏差后大学教育回报减半。
We consider identification and estimation of a Roy model that includes a common nonpecuniary utility component associated with each choice alternative. This augmented Roy model has broader applications to many polychotomous choice problems in addition to occupational sorting. We develop a pair of nonparametric estimators for this model, derive asymptotics, and illustrate small-sample properties with a series of Monte Carlo experiments. We apply one of these models to migration behavior and analyze the effect of Roy sorting on observed returns to college education. Correcting for Roy sorting bias, the returns to a college degree are cut in half. This article has supplementary material online.