Treatment Effect Analysis

Instructor: 
Guest Instructor: 
Stefan Mangelsdorf
Time I: 
Friday,
10:00am to 12:00pm
Time II: 
Friday,
08:00am to 10:00am
Venue I: 
TU Berlin, Main Building, Room H 0112
Venue II: 
TU Berlin, Main Building, Room H 0112
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.

Please note that the tutorial, held by Stefan Mangelsdorf, on Fridays, 8-10am, starts on April 20, 2012.

Exam: Written exam (90 min)

Credits: 
9.00
Program: 
Semester: 
Spring 2012
Affiliation: 
Technische Universität Berlin