Empirical Methods in Accounting and Finance

Time I: 
10:00am to 12:00pm
Venue I: 
HU Berlin, Spandauer Straße 1, Room 21b

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.

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.

The final grade will be based on the assignments (40 % combined) and on the written exam (60 %). Students need to achieve satisfactory grades in all assignments and the exam to pass the course.
Spring 2012
Humboldt-Universität zu Berlin