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040067 UK Applied Economics (BA) (2017S)

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

Summary

1 Tremewan , Moodle
2 Tremewan , Moodle
3 Holzner

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

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 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

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

Aims, contents and method of the course

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.

Assessment and permitted materials

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%)

Examination topics

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

Group 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 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

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

Aims, contents and method of the course

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.

Assessment and permitted materials

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%)

Examination topics

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

Group 3

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

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

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.

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.

Information

Minimum requirements and assessment criteria

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

Reading list

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)

Association in the course directory

Last modified: Mo 07.09.2020 15:28