Browse Hierarchy ECN238: Empirical Methods in Applied Economics

This module will introduce students to a variety of empirical methods that are commonly used to estimate the causal effect of a policy change (e.g., an increase in the minimum wage) on economic outcomes (e.g., employment and sales). Techniques to be covered may include: randomised controlled trials, regression analysis, instrumental variables, difference-in-differences, regression-discontinuity design, event studies, synthetic control methods, propensity-score matching, and machine learning. These methods will be illustrated in the context of contemporary issues drawn from fields such as health, labour, and development; bridging the gap between introductory econometrics and elective modules in applied economics.