Syllabus

Title
5367 Research Seminar Microeconometrics
Instructors
Univ.Prof. Mag.Dr. Harald Oberhofer
Contact details
harald.oberhofer@wu.ac.at
Type
PI SE
Weekly hours
2
Language of instruction
Englisch
Registration
02/07/17 to 02/28/17
Registration via LPIS
Notes to the course
Subject(s) Doctoral/PhD Programs
Research Seminar in Main Subject I - Empirical Business Research
Research Seminar in Main Subject II - Empirical Business Research
Research Seminar in Main Subject III - Empirical Business Research
Research Seminar in Main Subject IV - Empirical Business Research
Dissertation-relevant theories - Empirical Business Research
Research Seminar - Empirical Business Research
Research Seminar - Empirical Business Research
Research Seminar - Participating in scientific discourse I
Research Seminar - Participating in scientific discourse II
Dates
Day Date Time Room
Monday 03/06/17 10:00 AM - 12:00 PM D4.2.008
Monday 03/13/17 10:00 AM - 12:00 PM D4.2.008
Monday 03/20/17 10:00 AM - 12:00 PM D4.2.008
Monday 03/27/17 10:00 AM - 12:00 PM D4.2.008
Monday 04/03/17 10:00 AM - 12:00 PM D4.2.008
Monday 05/08/17 10:00 AM - 12:00 PM D4.2.008
Monday 05/15/17 10:00 AM - 12:00 PM D4.2.008
Monday 05/22/17 10:00 AM - 12:00 PM D4.2.008
Monday 05/29/17 10:00 AM - 12:00 PM D4.2.008
Monday 06/12/17 10:00 AM - 12:00 PM D4.2.008
Monday 06/19/17 10:00 AM - 12:00 PM D4.2.008
Monday 06/26/17 10:00 AM - 12:30 PM D4.2.008

On this page:

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Contents

This course deals with the estimation of causaleconomic effects when using micro-data. Thereby, we will put a specific focuson the estimation of causal treatment effects by applying econometric modelsfrom the program evaluation literature. The discussed approaches includefixed-effects models, difference-in-differences (DiD) estimation, propensityscore and matching based methods, regression discontinuity designs andinstrument variables (IV) estimation.

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Learning outcomes

After completing this course, students are able to understand the methodological issues involved when estimating causaltreatment effects of (economic) policy programs. They are familiar with the counterfactualscenario framework and understand the advantages and disadvantages of theseveral alternative econometric models for estimating causal treatment effects.

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Teaching/learning method(s)

Lecture and discussions, homework and presentations.

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Assessment

Presence and participation (20%)

Homework (40%)

Presentations (40%)


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Readings
1 Author: Angrist, Joshua D. and Pischke, Jörn-Steffen
Title: Mostly Harmless Econometrics: An Empiricist´s  Companion

Publisher: Princeton University Press
Edition: 1. Auflage
Year: 2008
Content relevant for class examination: Yes
Recommendation: Essential reading for all students
Type: Book
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Availability of lecturer(s)
harald.oberhofer@wu.ac.at
Last edited: 2016-10-19



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