040016 UK Applied Economics (BA) (2016S)
Continuous assessment of course work
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Summary
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 is open from We 17.02.2016 09:00 to We 24.02.2016 12:00
- Deregistration possible until Mo 14.03.2016 23:59
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.
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 08.03. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 15.03. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 05.04. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 12.04. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 19.04. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 26.04. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 03.05. 13:15 - 14:45 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Tuesday 10.05. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 24.05. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 31.05. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 07.06. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 14.06. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 21.06. 13:15 - 14:45 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Tuesday 28.06. 13:15 - 14:45 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
Aims, contents and method of the course
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%)
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
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.
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 07.03. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 14.03. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 04.04. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 11.04. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 18.04. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 25.04. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 02.05. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Monday 09.05. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 23.05. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 30.05. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 06.06. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 13.06. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 20.06. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Monday 27.06. 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.
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%)
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
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
Interaction: English is the language of instruction; Office hours on appointment; E-mail: holzner@wiiw.ac.at
max. 30 participants
Language: English
Lecturers
Classes (iCal) - next class is marked with N
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
- Wednesday 02.03. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 09.03. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 16.03. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 06.04. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 13.04. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 20.04. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 27.04. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 04.05. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 11.05. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 18.05. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 25.05. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 01.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 08.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 15.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 22.06. 18:30 - 20:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Wednesday 29.06. 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)
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
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.