FIN550 A Practical Guide to Instruments using Stata
Autumn 2023Spring 2024
The course focuses on instrumental variables (IV) based approaches to identify causal relations with implementation in Stata. Main topics will be directed acyclic graphs (DAG) representation of IV research design, relevance condition and exclusion restriction, tests of endogeneity, the 2SLS estimator and alternatives, relations with the LATE theorems (Imbens and Angrist, 1994) of heterogenous effects models and popular IV design (lotteries, randomized buckets, judge fixed effects, Bartik IV).
After completing the course, students will be able to:
- identify causal relations in empirical corporate finance
- use Stata to implement modern technics to identify causal relations in empirical corporate finance
- choose appropriate identification strategy
The course takes place over six weeks and is taught via Zoom. Each week consists of a 30 minute pre-recorded video lecture and a 60-minute synchronous lecture.
The course will be open to:
PhD students at NHH
PhD studente other Norwegian institutions
PhD students from other higher educational institutions
- Successful completion of PhD-level empirical corporate finance course;
- Stata command language and programming fundamentals (data management commands, standard estimation commands, macro, programming constructs)
Students are required to deliver one individual, written homework assignment.
Christopher F. Baum, An Introduction to Stata Programming, Second Ed., Stata Press
- ECTS Credits
- Teaching language
Spring. Offered spring 2023
Eric de Bodt, Adjunct Professor of Finance, NHH, University of Lille
NHH contact person, Associate Professor Konrad Raff