workshop is designed to as an introduction to methods and strategies for
researchers and practitioners in empirical corporate finance. Although
the focus is in corporate finance studies, students and researchers
interested in econometrics, banking, development economics, and general
policy analysis can benefit from it.
workshop, we introduce a series of challenges in regression studies, and
introduce possible solutions. We focus primarily on propensity-score
matching and regression discontinuity. (In next workshops, we can extend
topics to include the use of natural and quasi-natural experiments,
dynamic panel regressions, falsification tests, etc.). This workshop
comes with an extensive Stata programming supplement so, participants
are encouraged to bring their personal laptops where they can access
Stata. Stata codes and datasets will be provided.
Some knowledge of basic
econometrics, and some basic stata familiarity is required.
Part 1: Review of
basic econometric methods
Linear models, non-linear models
(mostly binary-choice models).
Linear and non-linear models in Stata:
how to run an actual study
heterogeneity, endogeneity issues
Part 2: Addressing
endogeneity- Part 1: econometric remedies
matching (direct application of binary models with diff.
endogeneity issues (effects from unobservable)
Examples from the
Part 3: Addressing
endogeneity- Part 2: causal inference
Regression discontinuity settings
Examples from the literature
Regression discontinuity with
propensity score matching
More examples from literature