Universität Wien
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040360 UK Advanced Microeconometrics (MA) (2025S)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
ON-SITE
Fr 07.03. 11:30-13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock

Details

max. 50 participants
Language: English

Lecturers

    Classes (iCal) - next class is marked with N

    • Friday 07.03. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
      PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    • Friday 14.03. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
    • Friday 14.03. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
      PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    • Friday 21.03. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
    • Friday 21.03. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
    • Friday 28.03. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
    • Friday 28.03. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
    • Friday 04.04. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
    • Friday 04.04. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
      PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    • Friday 11.04. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
    • Friday 02.05. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
    • Friday 02.05. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
      PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    • Friday 09.05. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
    • Friday 09.05. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
      PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    • Friday 16.05. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
    • Friday 16.05. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
      PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    • Friday 23.05. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
    • Friday 23.05. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
      PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    • Friday 30.05. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
    • Friday 30.05. 13:15 - 14:45 Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
    • Friday 06.06. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
    • Friday 06.06. 13:15 - 14:45 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
      PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    • Friday 20.06. 11:30 - 13:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß

    Information

    Aims, contents and method of the course

    Content

    Building upon the introductory course of econometrics, this course deepens the understanding of microeconometric theory and the estimation methods used in empirical analysis of microdata. Next to the estimation of causal effects, complementary techniques which are necessary to deal with specific data structures are discussed. During computer sessions, students learn to apply the introduced methods.

    Questions addressed in this course are, among others: What methods allow to estimate causal effects? Which techniques are suitable for the analysis of categorical outcomes or duration outcomes? What are the implications of missing data or measurement error? How can the discussed estimation methods be implemented in practice? Etc.

    Course goals

    At the end of the course, students will be familiar with the relevant techniques and tools used in empirical microeconomics. This will allow them to critically read and understand empirical research. For a given research question and dataset, students will be able to choose appropriate econometric methods and conduct a thorough empirical analysis.

    Prerequisites

    • Prior knowledge of statistics and econometrics (MA course “Introductory Econometrics” or equivalent)
    • Basic programming skills with statistical software

    Assessment and permitted materials

    The assessment consists of three parts: a midterm exam, a final exam and an empirical project.

    Minimum requirements and assessment criteria

    The final grade is a weighted average of the grade points received for each part:

    Midterm exam (30%)
    Final exam (30%)
    Empirical project (40%)

    Examination topics

    All covered material is relevant for the exams.

    Reading list

    • Cameron, A. Colin, and Pravin K. Trivedi. Microeconometrics: Methods and Applications. Cambridge University Press, 2005
    • Selected research papers

    Supplementary reading:

    • Wooldridge, Jeffrey M. Econometric Analysis of Cross Section and Panel Data (2nd edition). MIT Press, 2010
    • Angrist, Joshua D., and Jörn-Steffen Pischke. Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press, 2008

    Association in the course directory

    Last modified: Fr 10.01.2025 00:01