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040067 UK Applied Economics (BA) (2020S)
Continuous assessment of course work
Labels
Summary
Registration/Deregistration
- Registration is open from Mo 10.02.2020 09:00 to We 19.02.2020 12:00
- Deregistration possible until Th 30.04.2020 23:59
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
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
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.).
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