Date/Time
Date(s) - 10/10/2019 - 11/10/2019 9:30 am - 5:00 pm
Location
University of Leeds
Audience:
Open to doctoral students and early career researchers.
This is an advanced-level course on quantitative empirical methods for policy evaluation. Inferences about causation are of great interest in business and economics research. Examples of causal inference in these fields include, estimating the effect of changes in regulations on financial transactions; measuring the impact of foreign acquisitions on firm’s performance; etc. However, a key challenge in quantitative social science research is the difficulty to conduct controlled experiments to estimate such effects. Policy evaluation methods have the potential to offer robust estimates of causal effects in such non-experimental contexts. These methods are designed to measure the impact of interventions (or treatments) on certain outcomes of interest using observational (non-experimental) data.