040067 UK Applied Economics (BA) (2017S)
Continuous assessment of course work
Labels
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 15.02.2017 09:00 to We 22.02.2017 12:00
- Deregistration possible until Tu 14.03.2017 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
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
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
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.
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
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)
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.