Structural Econometrics in Labor and IO

Guest Instructor: 
Daniel Kemptner, Luke Haywood, Hannes Ullrich
Time I: 
02:30pm to 05:30pm
Venue I: 

Course objectives:

Covers statistical methods relevant for the analysis of data based on structural economic models
• Discuss advantages and limitations of structural econometric models. Give students an understanding of why and when adding structure is important.
• Focus on discrete choice methods for cross section and panel data
• Provide insights into strategy (especially, identification) in important papers in structural Labour, Public & IO literature. Give a feel of how one may go about establishing a structural model.
• Establish basic estimation techniques & numerical methods such as simulation, numerical integration and discretisation; coding best-practice using Matlab, such as loops vs. vectorisation, readability vs. speed, and sustainable coding for several projects.
• The aim is to equip students with skills allowing them to carry out independent empirical research

Course organization:

• Part I is taught by Daniel Kemptner, Part II by Peter Haan, Luke Haywood, and Hannes Ullrich.
• Credit points: 12 ECTS. 5 sessions in Part I, 8 sessions in Part II. Both parts must be completed to gain credits.
• Prerequisites: skills in advanced econometric methods (Master or Ph.D. level)
• All sessions in this course take place at DIW.
• First session: 20.4.2017
• Final session: 20.7.2017 (Exam)

Spring 2017
Deutsches Institut für Wirtschaftsforschung