Empirical Methods in Accounting and Finance

Time I: 
10:00am to 12:00pm
Venue I: 
HU Spandauer Str. 1, room 21a

This course aims at equipping students with the skill-set to design and conduct empirical studies based on observational (archival) data in the fields of accounting and finance. After successful completion of the course students should

• understand the fundamentals and common pitfalls of quasi-experimental research design,
• be familiar with matching mechanisms, instrumental variable and panel data approaches which help with causal inference,
• be aware of limitations of these research designs,
• and, using the statistical software packages STATA and/or SAS, have gathered experiences in designing and conducting large-scale research projects.

Course format
The course consists of a combination of lectures, practical exercises, and student presentations of homework assignments. Lectures will be based on the relevant literature and on seminal as well as recent journal articles. Participants are responsible for reading the assigned materials before class and to hand in the homework assignments on time. The homework assignments will be group-based.

Angrist, Joshua D. and Jörn-Steffen Pischke (2009): Mostly Harmless Econometrics: An Empiricist's Companion, Princeton University Press.
Morgan. Stephen L. and Christopher Winship (2007): Counterfactuals and Causal Inference: Methods and Principles for Social Research, Cambridge University Press.
Wooldridge, Jeffrey M. (2010): Econometric Analysis of Cross Section and Panel Data, The MIT Press.

Exam: group homework and written exam (one exam date: 08.07.13)

Spring 2013
Humboldt-Universität zu Berlin
End date of the whole course: 
Monday, July 8, 2013 - 12:00pm