和heckman合作的大牛，Edward Vytlacilvy教授在人大的讲义

[color=rgb(58, 58, 58) !important]Edward Vytlacilvy

[color=rgb(58, 58, 58) !important]Department of Economics

Selection Models, Treatment Effects, and the Econometric Evaluation of Policy Design

Institute of Statistics and Big Data, Renmin University of China

[color=rgb(58, 58, 58) !important]Structure:

[color=rgb(58, 58, 58) !important]The course consists of five days of approximately four hours of lectures per day.

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[color=rgb(58, 58, 58) !important]Content:

[color=rgb(58, 58, 58) !important]The course is an applied micro-econometrics course on treatment effects and program evaluation,covering micro-econometric methods and illustrating those methods though applications in health,labor, and development economics. Our starting point will be to consider treatment effectparameters when (1) the effect of the treatment varies across individuals; and (2) selection intotreatment is possibly related to the idiosyncratic treatment effect. We then move beyond theconventional treatment effect parameters to consider the evaluation of alternativepolicies thatwould change the selection of individuals into treatment. We will consider alternative criteria forevaluating policies. Our focus will be on the evaluation of such programs using instrumentalvariables and selection models in the Marginal Treatment Effects framework, though we will alsoconsider other approaches including matching, regression discontinuity, and RCTs. Variousempirical applications will be used to illustrate the methodology. This course is a PhD level course.