| Lecturer: | Prof. Dr.Thorsten Schank |
| ID Number: | 3210 (Lecture), 3215 (Tutorial) |
| Contact Time: | 2 SWS lecture and 2 SWS tutorial |
| Credits: | 6 ECTS for Master students |
| Time/Place: _ |
Tue, 10:15 – 11:45, Online Wed, 16:15 – 17:45, Online |
|
Please note that the course starts with a Stata introduction organized by Dr. Constantin Weiser. Since Stata is an essential part of the course, it is important that students actively take part in the Stata introduction which consists of the following bits:
The material can be downloaded from https://ilias.uni-mainz.de/goto.php?target=crs_611359&client_id=JOGU If any technical problem occurs, please write an e-mail to constantin.weiser@uni-mainz.de (subject: Stata-Course) The regular course starts the week thereafter with videos (available on ILIAS) and with video-conferences scheduled at the times mentioned above. More detailed information (like the tool for video-conferences) will be available soon. |
|
| Language: | English |
| Grade: | Written exam |
Syllabus
This course aims to provide the participants with a profound understanding of econometric methods and tools with a particular focus on applied econometrics. We will follow a two-pillar concept by combining methodological lectures with empirical examples in the computer lab, using the software tool Stata. We will begin by reviewing some basic principles of econometrics and move on to the linear regression methodology, panel data sets and specification issues.
Agenda
Part 1: Principles of Econometrics
Part 2: Linear Regression
Part 3: Panel Data
Part 4: Specification Issues
Literature
Wooldridge (2013), Introductory econometrics.
Stock and Watson (2011), Introduction to econometrics.
Kohler and Kreuter (2012), Data Analysis Using Stata.
Further Readings
Wooldridge (2010), Econometric analysis of cross section and panel data.
Greene (2011), Econometric Analysis.
Download Area
Class material and handouts will be downloadable from the e-learning platform ILIAS.