Universität Wien FIND
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040067 UK Empirische Volkswirtschaftslehre (BA) (2017S)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

Zusammenfassung

1 Tremewan, Moodle
2 Tremewan, Moodle
3 Holzner

An/Abmeldung

Gruppen

Gruppe 1

This course teaches students how to apply their theoretical knowledge of econometrics to
research questions in economics. Lectures will incorporate a demonstration of how each
econometric topic arises in the course of applied economics work using Stata. After taking the course, students will be able to understand how to select, develop, and test empirical
specifications, evaluate others’ empirical analysis, and write an original applied economics
paper.

max. 30 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Dienstag 07.03. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 14.03. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Dienstag 21.03. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 28.03. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 04.04. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Dienstag 02.05. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 09.05. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 16.05. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Dienstag 23.05. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 30.05. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 13.06. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 20.06. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 27.06. 13:15 - 14:45 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock

Ziele, Inhalte und Methode der Lehrveranstaltung

Students are strongly encouraged to work through the examples in the course textbook in order to supplement what is learned in lecture. Periodically, problem sets will be assigned in order to apply the tools that we learn in class. Students will be responsible for the material taught in class, the techniques covered in the required textbook, and the material covered by the problem sets.
A central component of the course entails an original research project. The purpose of the
research project is to allow the student to get a taste for devising his/her own empirical analysis in the field of economics. The student will be expected to collect a data set, identify and test one or more empirical hypotheses, and draw a conclusion. In particular, the student is expected to apply many of the tools learned in the class.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Grades for the course will be computed based on the following allocation:
Final exam (20%)
Problem sets (15%)
End of semester presentation (20%)
Research project (45%)

Prüfungsstoff

We will seek to cover the following topics in this course:
1. An Introduction to Econometrics and Stata
2. Review of the Linear Regression Model and Inference
3. Modeling Issues: Functional Form
4. Multiple Linear Regression and the F-test
5. Model Specification and Model Misspecification
6. Nonlinear Relationships
7. How to Write a Paper
8. Heteroskedasticity
9. GLS
10. Instrumental Variables
11. Binary Choice Models
12. Models for Multiple Ordered and Unordered Choices

Gruppe 2

This course teaches students how to apply their theoretical knowledge of econometrics to
research questions in economics. Lectures will incorporate a demonstration of how each
econometric topic arises in the course of applied economics work using Stata. After taking the course, students will be able to understand how to select, develop, and test empirical
specifications, evaluate others’ empirical analysis, and write an original applied economics
paper.

max. 30 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Montag 06.03. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 20.03. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 27.03. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 03.04. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 24.04. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Dienstag 25.04. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Montag 08.05. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 15.05. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 22.05. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 29.05. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 12.06. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 19.06. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 26.06. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock

Ziele, Inhalte und Methode der Lehrveranstaltung

Students are strongly encouraged to work through the examples in the course textbook in order to supplement what is learned in lecture. Periodically, problem sets will be assigned in order to apply the tools that we learn in class. Students will be responsible for the material taught in class, the techniques covered in the required textbook, and the material covered by the problem sets.
A central component of the course entails an original research project. The purpose of the
research project is to allow the student to get a taste for devising his/her own empirical analysis in the field of economics. The student will be expected to collect a data set, identify and test one or more empirical hypotheses, and draw a conclusion. In particular, the student is expected to apply many of the tools learned in the class.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Grades for the course will be computed based on the following allocation:
Final exam (20%)
Problem sets (15%)
End of semester presentation (20%)
Research project (45%)

Prüfungsstoff

We will seek to cover the following topics in this course:
1. An Introduction to Econometrics and Stata
2. Review of the Linear Regression Model and Inference
3. Modeling Issues: Functional Form
4. Multiple Linear Regression and the F-test
5. Model Specification and Model Misspecification
6. Nonlinear Relationships
7. How to Write a Paper
8. Heteroskedasticity
9. GLS
10. Instrumental Variables
11. Binary Choice Models
12. Models for Multiple Ordered and Unordered Choices

Gruppe 3

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Mittwoch 01.03. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 08.03. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 15.03. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 22.03. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 29.03. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 05.04. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 26.04. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 03.05. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 10.05. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 17.05. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 24.05. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 31.05. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 07.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 14.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 21.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 28.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag 29.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Freitag 30.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Ziele, Inhalte und Methode der Lehrveranstaltung

Abstract: 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. Basic theoretical knowledge as well as computer skills are required.

Outline: Review of probability and statistics; How to find and handle economic data; Linear regression with one regressor; Hypothesis testing; Linear regressions with multiple regressors; Introduction to the general-purpose statistical software package STATA; Nonlinear regression functions; Assessing statistical studies; Introduction to 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.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Assessment: Test (20 points), participation in class (35 points) and an independent research paper (45 points) to be handed in in written form and to be presented at the end of the term.

Prüfungsstoff

Correct interpretation of the results of concrete OLS cross country models, such as the goodness-of-fit of the model and the estimated coefficients.

Information

Mindestanforderungen und Beurteilungsmaßstab

A minimum of 51 points is needed for a positive evaluation.

Literatur

Required textbook:
Adkins, L. and R.C. Hill. Using Stata for Principles of Econometrics, 4th Edition. (Hoboken, NJ: Wiley & Sons, 2011). (Abbreviation: AH)
In addition, there are two supplemental texts that provides the theoretical basis for each topic:
Hill, R.C., W. Griffiths, and G. Lim. Principles of Econometrics, 4th Edition. (Hoboken, NJ: Wiley & Sons, 2011). (Abbreviation: HGL)
Wooldridge, J.M. Introductory Econometrics: A Modern Approach. (Southwestern College Pub, 2012)

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Fr 31.08.2018 08:47