| Description |
This course provides an introduction to applied data analysis using Stata. We will cover several steps involved in doing empirical work, starting with data collection and data management issues, and then discuss linear regression, instrumental variables, and basic models for panel data and disc-rete dependent variables. The distinctive feature of the course is a learning-by-doing approach to teaching econometrics, with a strong emphasis on the application of methods to real data and the correct interpretation of results. The course is intended for Master students with a good knowledge of linear regression analysis who are currently attending or have completed the Econometrics II class.
Readings:
- Baum, C.F. (2006) An Introduction to Modern Econometrics Using Stata, Stata Press
- Cameron, A.C. and P.K. Trivedi (2010) Microeconometrics Using Stata, Stata Press
Language: English
Credits: 2 SWS / 3 ECTS
Prerequisites: Bachelor Degree
The maximum number of participants is 28. Please register in KSL (open January, 14, 2022)
Evaluation:
1. Exam: Thursday, June 2, 2022, 10.15 - 12.15 h, PC Pool A322, UniS
2. Exam: Thursday, September 15, 2022, 10.15 - 12.15 h, PC Pool, A322, UniS
Lectures:
Thursday, 10:15 – 12:00h, A 322 PC Pool UniS |
User:
Öffentlicher Bereich
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