Special Topics in Empirical Corporate Finance

FIN544 Special Topics in Empirical Corporate Finance

Spring 2020

  • Topics

    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.

  • Learning outcome

    After completing the course, students will be able to:

    Skills.

    - use Stata to implement  modern technics  to identify causal relations in empirical corporate finance

    Knowledge. 

    - identify causal relations in empirical corporate finance

  • Teaching

    3 days intensive teaching

  • Recommended prerequisites

    Fundamental regression analysis

  • Requirements for course approval

    Class participation 

  • Assessment

    Class participation  (50%) and term paper (50%).

  • Grading Scale

    Pass-fail

  • Computer tools

    STATA

  • Literature

    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.

Overview

ECTS Credits
2.5
Teaching language
English
Semester

(Late) Spring 2020

Course responsible

Eric de Bodt, Professor of Finance