Universität Wien

040063 UK Advanced Microeconometrics (MA) (2016S)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

This is an advanced course in microeconometrics that will introduce and discuss selected topics in advanced microeconometric methods and their applications. The course will provide students with a thorough understanding of a variety of econometric methods that economists use for empirical microeconomic research, with attention being given to the application of these methods to economic data.

Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 50 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Dienstag 01.03. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 02.03. 15:00 - 16:30 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Dienstag 08.03. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 09.03. 15:00 - 16:30 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Dienstag 15.03. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 16.03. 15:00 - 16:30 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Dienstag 05.04. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 06.04. 15:00 - 16:30 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Dienstag 12.04. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Dienstag 12.04. 16:45 - 18:15 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 13.04. 15:00 - 16:30 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Dienstag 19.04. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 20.04. 15:00 - 16:30 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Dienstag 26.04. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 27.04. 15:00 - 16:30 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Dienstag 03.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 04.05. 15:00 - 16:30 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Dienstag 10.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 11.05. 15:00 - 16:30 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Mittwoch 18.05. 15:00 - 16:30 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Donnerstag 19.05. 16:45 - 20:00 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Dienstag 24.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 25.05. 15:00 - 18:15 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Dienstag 31.05. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 01.06. 15:00 - 16:30 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Dienstag 07.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 08.06. 15:00 - 16:30 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Dienstag 14.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 15.06. 15:00 - 16:30 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Dienstag 21.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 22.06. 15:00 - 16:30 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Dienstag 28.06. 15:00 - 16:30 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 29.06. 15:00 - 16:30 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

1. Introduction (Causal and Noncausal models; Data Structure)
2. Brief Review of Basic Methods (OLS; IV; Hypothesis tests; Specification tests)
3. Limited Dependent Variable Estimation (Binary Models; Multinomial Models)
4. Tobit and Selection Models
5. Models for Count Data
6. Robust Regression Methods
7. Quantile Regression Methods
8. Sampling and Survey Design
9. Average Treatment Effects (Propensity Score Methods; Matching Methods; Regression Discontinuity)
10. Duration Analysis

Art der Leistungskontrolle und erlaubte Hilfsmittel

The course will be assessed through a combination of class presentations (20%), an empirical project (30%), a midterm exam (20%) and a final exam (30%).

Mindestanforderungen und Beurteilungsmaßstab

The overall aim of the course is to provide students with an understanding of advanced microeconometric methods and their application. The course will provide students with a thorough understanding of a variety of econometric methods that economists use for empirical microeconomic research. Attention will be given to the application of these models to economic data in empirical research, in order to illustrate how they can be employed to answer real-world questions of economic interest. After completing the course, the student should have acquired the tools necessary to understand papers and undertake empirical analysis on microeconometric topics. The course will also provide a background for students undertaking further graduate study, or aiming at answering empirical economic questions in a government agency, international organisation or the private sector.

Students are expected to have a good knowledge of econometric methods for cross-section and/or panel data (e.g. the winter semester course Microeconometrics).

Prüfungsstoff

The course will be taught through a combination of: (1) lectures introducing the topics; (2) example classes; and (3) student presentations.

Literatur

Angrist, J.D. and J-S. Pischke, 2009. Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton: NJ, Princeton University Press.

Cameron, A.C. and P.K. Trivedi, 2005. Microeconometrics: Methods and Applications. Cambridge: UK, Cambridge University Press.

Koenker, R., 2005. Quantile Regression. Cambridge: UK, Cambridge University Press.

Wooldridge, J.M., 2010. Econometric Analysis of Cross Section and Panel Data. Cambridge: MA, The MIT Press.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:28