Treatment Effect Analysis

Instructor: 
Time I: 
Friday, 10:00am
Venue I: 
Technische Universität, mainbuilding, Straße des 17. Juni 135, room H0112
Description: 

What is a causal effect and how can we identify and estimate a causal effect from nonexperimental data? These are among the most important questions in applied econometric research. This course will give an introduction and overview over the most important concepts and methods in this field, including the Rubin model of causality, the Roy model, statistical matching, instrumental variables, difference-in-differences methods, switching regression models, regression discontinuity design.

Time frame (date of first and last class): 17.4 - 17.7.2015

Time(s) and Location(s):
Lecture: Fr 10:00-12:00, room H0112 (TUB main building)
Tutorial: Fr 8:00-10:00, room H1028/TEL 206re

Credits: 
9.00
Semester: 
Spring 2015
Affiliation: 
Technische Universität Berlin
End date of the whole course: 
Friday, July 17, 2015 (All day)