Treatment Effect Analysis

Instructor: 
Time I: 
Friday,
10:15am to 11:45am
Venue I: 
TU Berlin Main Building, H 107
Description: 

Estimating a causal effect or "treatment effect" from nonexperminatal data is the aim of much empirical research in economics. This course will cover the most important concepts and methods in this field from an applied perspective. The proposed schedule is (i) Rubin Model of Causality, (ii) Roy Model of Self-Selection, (iii) Causality and Regression Notation, (iv) Experiments, (v) Conditional Independence, (vi) Heckman Switching Regression, (vii) Instrumental Variables and Local Average Treatment Effect, (viii) Difference-in-Differences and Panel Methods, (ix) Regression Discontinuity Design.

The tutorials provide the opportunity to apply the methods covered in class to real data using the software STATA.

Credits: 
6.00
Program: 
Semester: 
Spring 2014
Affiliation: 
Technische Universität Berlin
End date of the whole course: 
Friday, July 18, 2014 - 11:45am