FIN544 Special Topics in Empirical Corporate Finance
The first part of the lecture will focus on modern technics to identify causal relations in empirical corporate finance. After introducing randomized experiments as the benchmark approach, regressions (to control for observables), instrumental variables (with the 2SLS estimator), regression discontinuity design and differences-in-differences approaches will be presented. Next, the lecture will turn to using Stata to implement these approaches. Programming techniques in Stata will be introduced and applications to real datasets will proposed to students.
After completing the course, students will be able to:
- use Stata to implement modern technics to identify causal relations in empirical corporate finance
- identify causal relations in empirical corporate finance
3 days intensive teaching
Fundamental regression analysis
Requirements for course approval
Class participation (50%) and term paper (50%).
Angrist and Pischke, 2009, Mostly Harmless Econometrics, Princeton University Press.
A set of on-line videos will also be put at disposal of students who need to review regression fundamentals, a requirements to follow the lecture.
- ECTS Credits
- Teaching language
(Late) Spring 2020
Eric de Bodt, Professor of Finance