【主讲】Arthur Lewbel 教授 (Boston College)
【主题】Comparing Features of Convenient Estimators for Binary Choice Models With Endogenous Regressors
【时间】2012年10月26日 (周五) 15：30-17：00
【地点】上海财经大学经济学院楼412室
【语言】英文
【摘要】We discuss the relative advantages and disadvantages of four types of convenient estimators of binary choice models when regressors may be endogenous or mismeasured, or when errors are likely to be heteroskedastic. For example, such models arise when treatment is not randomly assigned and outcomes are binary. The estimators we compare are the two stage least squares linear probability model, maximum likelihood estimation, control function estimators, and special regressor methods. We specifically focus on models and associated estimators that are easy to implement. Also, for calculating choice probabilities and regressor marginal effects, we propose the average index function (AIF), which, unlike the average structural function (ASF), is always easy to estimate.
