Universität Wien FIND

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040067 UK Applied Economics (BA) (2020S)

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

Summary

1 Zejcirovic , Moodle
2 Zejcirovic , Moodle
3 Holzner , Moodle

Registration/Deregistration

Registration information is available for each group.

Groups

Group 1

max. 30 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Tuesday 03.03. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 10.03. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 17.03. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 24.03. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 31.03. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 21.04. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 28.04. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 05.05. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 12.05. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 19.05. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 26.05. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 09.06. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 16.06. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 23.06. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 30.06. 11:30 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Aims, contents and method of the course

This group is for students majoring in Economics. Students majoring in Economic History, please attend Mario Holzner's Group.

This is a course in which students will reinforce the tools learned in Introductory Econometrics (BA) by applying them to real world data sets using econometric software. Prior knowledge at the level will be assumed throughout the course. The aim of the course is for students to get hands on experience in analyzing observational data using econometric software and acquire the tools to carry out empirical research projects on their own.

Assessment and permitted materials

Four problem sets (total of 60%), final exam (40%).

Minimum requirements and assessment criteria

Students should hand in all problem sets and attend the final exam. A minimum of 51% is required to pass the course.

Examination topics

We will seek to cover the following topics in this course:
1. Introduction
2. Review of the Linear Regression Model and Inference
4. Multiple Linear Regression Model
5. Endogeneity

Reading list

The following textbooks are available in the library:

1) Hill R. C., Griffiths W. E., Lim G. C. (2018). Principles of Econometrics. (Fifth edition)

2) Wooldridge, J. (2015). Introductory econometrics: A modern approach (Sixth edition, student ed.).

Group 2

max. 30 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Monday 02.03. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 09.03. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 16.03. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 23.03. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 30.03. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 20.04. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 27.04. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 04.05. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 11.05. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 18.05. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 25.05. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 08.06. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 15.06. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 22.06. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 29.06. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Aims, contents and method of the course

This group is for students majoring in Economics. Students majoring in Economic History, please attend Mario Holzner's group.

This is a course in which students will reinforce the tools learned in Introductory Econometrics (BA) by applying them to real world data sets using econometric software. Prior knowledge at the level will be assumed throughout the course. The aim of the course is for students to get hands on experience in analyzing observational data using econometric software and acquire the tools to carry out empirical research projects on their own.

Assessment and permitted materials

Four problem sets (total of 60%), final exam (40%).

Minimum requirements and assessment criteria

Students should hand in all problem sets and attend the final exam. A minimum of 51% is required to pass the course.

Examination topics

We will seek to cover the following topics in this course:
1. Introduction
2. Review of the Linear Regression Model and Inference
4. Multiple Linear Regression Model
5. Endogeneity

Reading list

The following textbooks are available in the library:
1) Hill R. C., Griffiths W. E., Lim G. C. (2018). Principles of Econometrics. (Fifth edition)

2) Wooldridge, J. (2015). Introductory econometrics: A modern approach (Sixth edition, student ed.).

Group 3

max. 30 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Wednesday 04.03. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday 11.03. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday 25.03. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday 01.04. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday 22.04. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday 29.04. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday 06.05. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday 13.05. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday 27.05. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday 03.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday 17.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 23.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Wednesday 24.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Thursday 25.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Friday 26.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Aims, contents and method of the course

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. A major focus of the course is on historical data and cliometric research questions. Thus, the course is also relevant for students of economic history interested in quantitative methods. 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: Introduction to econometrics and cliometrics; Review of probability and statistics; How to find and handle (historical) 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.

Assessment and permitted materials

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.

Minimum requirements and assessment criteria

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

Examination topics

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

Association in the course directory

Last modified: Mo 07.09.2020 15:19