|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, HS III / PC-Pool 00-265
Wed, 16:15 – 17:45, HS III / PC-Pool 00-265
Please note that the course starts with two additional sessions of Stata introductory tutorials held by Dr. Constantin Weiser. Since the tutorials throughout the course are based on Stata, it is essential that students actively take part in these Stata introductory tutorials.
Monday, 23rd April: 10:00 - 12:00 RW 4
Students are obliged to submit a take-home with Stata questions between the two sessions. To assist you we provide an open consultation on April 24th and on 25th. On both days consultations will take place from 10:00-12:00 and from 13:00-16:00 in the PC-Pool 00-275. More detailed information will be made available via ILIAS and in the first session.
On Wednesday, 2nd May, we start with the regular sessions. The sessions alternate between lectures in HS III and solving problem-sets in the PC-Pool. The first session takes place in HS III. Students will be informed beforehand when we meet in the PC-Pool.
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.
Part 1: Principles of Econometrics
Part 2: Linear Regression
Part 3: Panel Data
Part 4: Specification Issues
Wooldridge (2013), Introductory econometrics.
Stock and Watson (2011), Introduction to econometrics.
Kohler and Kreuter (2012), Data Analysis Using Stata.
Wooldridge (2010), Econometric analysis of cross section and panel data.
Greene (2011), Econometric Analysis.
Class material and handouts will be downloadable from the e-learning platform ILIAS.