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040016 UK Empirische Volkswirtschaftslehre (BA) (2016S)

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

Zusammenfassung

1 Tremewan , Moodle
2 Tremewan , Moodle
3 Holzner

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
An/Abmeldeinformationen sind bei der jeweiligen Gruppe verfügbar.

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 08.03. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 15.03. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 05.04. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 12.04. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Dienstag 19.04. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Dienstag 26.04. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Dienstag 03.05. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Dienstag 10.05. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 24.05. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 31.05. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 07.06. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 14.06. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 21.06. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 28.06. 13:15 - 14:45 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.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 07.03. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 14.03. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 04.04. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 11.04. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 18.04. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 25.04. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 02.05. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 09.05. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 23.05. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 30.05. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 06.06. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 13.06. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 20.06. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Montag 27.06. 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

Interaction: English is the language of instruction; Office hours on appointment; E-mail: holzner@wiiw.ac.at

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Time: Wednesday, 06:30 PM - 08:00 PM, weekly, March 2016 - June 2016
Place: University of Vienna, Dept. of Economics, Oskar-Morgenstern-Platz 1, 1st basement floor, PC seminar room 5

Mittwoch 02.03. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 09.03. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 16.03. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 06.04. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 13.04. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 20.04. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 27.04. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 04.05. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 11.05. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 18.05. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 25.05. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 01.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 08.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 15.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 22.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Mittwoch 29.06. 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: Mo 07.09.2020 15:28