Prof. Ph.D. Nick Zubanov

Termine (Vorlesung)

Di 08:15 - 09:45 F 424
Di  15:15 - 16:45 Y 311


This course will equip students with the key statistical tools required to understand modern empirical research in economics and business-related disciplines, as well as to do research themselves. The students will learn about the notions statistical inference, estimation, regression analysis, causality, and analysis of experimental data, as well as their applications in empirical research. The emphasis in this course is put on application of statistics to analyzing data from real firms to advice corporate policy making. An introduction to Stata, a data analysis software package, will be given as well. Methodological insights from this course will be useful in many other courses.

Weitere Details zum Inhalt der Vorlesung im ZEUS

2018-10-23 (Di) - Review of the basics of statistics

2018-11-13 (Di) - Statistical inference

2018-11-20 (Di) - Regression analysis, including the problem of causal identification and omitted variable bias

2018-12-04 (Di) - Experiments

2018-12-18 (Di) - Panel Data

2019-01-15 (Di) - Instrumental variables

2019-01-29 (Di) - Specification tests and robust estimation (via. SKYPE)

2019-02-12 (Di) - Revision, Q&A