Universität Wien

040693 PR Applied Econometrics (2011W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Summary

1 Holzner
2 Sherman
3 Sherman

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Registration information is available for each group.

Groups

Group 1

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 05.10. 18:30 - 20:30 (Seminarraum 2 Hohenstaufengasse 9 1.Stock)
Wednesday 12.10. 18:30 - 20:30 (Seminarraum 2 Hohenstaufengasse 9 1.Stock)
Wednesday 19.10. 18:30 - 20:30 (Seminarraum 2 Hohenstaufengasse 9 1.Stock)
Wednesday 09.11. 18:30 - 20:30 (Seminarraum 2 Hohenstaufengasse 9 1.Stock)
Wednesday 16.11. 18:30 - 20:30 (Seminarraum 2 Hohenstaufengasse 9 1.Stock)
Wednesday 23.11. 18:30 - 20:30 (Seminarraum 2 Hohenstaufengasse 9 1.Stock)
Wednesday 30.11. 18:30 - 20:30 (Seminarraum 2 Hohenstaufengasse 9 1.Stock)
Wednesday 07.12. 18:30 - 20:30 (Seminarraum 2 Hohenstaufengasse 9 1.Stock)
Wednesday 14.12. 18:30 - 20:30 (Seminarraum 2 Hohenstaufengasse 9 1.Stock)
Wednesday 11.01. 18:30 - 20:30 (Seminarraum 2 Hohenstaufengasse 9 1.Stock)
Wednesday 18.01. 18:30 - 20:30 (Seminarraum 2 Hohenstaufengasse 9 1.Stock)
Wednesday 25.01. 18:30 - 20:30 (Seminarraum 2 Hohenstaufengasse 9 1.Stock)

Group 2

The course provides an introduction to the use of econometrics. After taking the course, students should be able to understand and evaluate applied analysis of data, and be able to undertake such analysis themselves.

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 05.10. 09:00 - 10:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Wednesday 12.10. 09:00 - 10:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Wednesday 19.10. 09:00 - 10:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Wednesday 09.11. 09:00 - 10:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Wednesday 16.11. 09:00 - 10:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Wednesday 23.11. 09:00 - 10:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Wednesday 30.11. 09:00 - 10:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Wednesday 07.12. 09:00 - 10:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Wednesday 14.12. 09:00 - 10:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Wednesday 11.01. 09:00 - 10:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Wednesday 18.01. 09:00 - 10:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Wednesday 25.01. 09:00 - 10:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)

Group 3

The course provides an introduction to the use of econometrics. After taking the course, students should be able to understand and evaluate applied analysis of data, and be able to undertake such analysis themselves.

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Monday 03.10. 10:00 - 11:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Monday 10.10. 10:00 - 11:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Monday 17.10. 10:00 - 11:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Monday 24.10. 10:00 - 11:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Monday 31.10. 10:00 - 11:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Monday 07.11. 10:00 - 11:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Monday 14.11. 10:00 - 11:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Monday 21.11. 10:00 - 11:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Monday 28.11. 10:00 - 11:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Monday 05.12. 10:00 - 11:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Monday 12.12. 10:00 - 11:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Monday 09.01. 10:00 - 11:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Monday 16.01. 10:00 - 11:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Monday 23.01. 10:00 - 11:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)
Monday 30.01. 10:00 - 11:30 (Seminarraum 1 Hohenstaufengasse 9 1.Stock)

Information

Aims, contents and method of the course

The course introduces the main workhorse of applied empirical research in economics, linear regression by ordinary least squares (OLS). After having taken the course, students should understand and be able to evaluate applied analysis of cross-section data and be able to undertake such analysis themselves. The main output shall be an independent research paper on a data set of own choice.
The course is offered in parallel to Prof. Kunst's theoretical seminar 040131.

Interaction: English language of instruction; Office hours on appointment; www.shadoweconomics.org
Tool: Please take a laptop with you.
Assessment: Participation in class (25 points) and an independent research paper (75 points) to be handed in in written form and to be presented at the end of the term. A minimum of 51 points is needed for a positive evaluation.
Outline: Review of probability and statistics; How to find and handle economic data; Linear regression with one regressor; Doing regressions in Excel; Linear regressions with multiple regressors;
Introduction to the general-purpose statistical software package STATA; Nonlinear regression functions; Assessing statistical studies; Introduction to panel data, binary dependent variable and instrumental variable regressions; Estimation of popular economic models such as the Cobb-Douglas production function; Introduction to LATEX; Presentation and discussion of the independent research papers.
Motto: There are two things you are better off not watching in the making: sausages and econometric estimates. (Edward Leamer)

Assessment and permitted materials

Minimum requirements and assessment criteria

Examination topics

Reading list


Association in the course directory

Last modified: We 30.09.2020 00:19