This course introduces econometric methods for empirical studies with a focus on applications in environmental and energy economics. The aim is to familiarize graduate students with both the theoretical and practical aspects of causal inference, including its recent developments. Students should have a basic understanding of econometrics and statistics.
The lecture will cover the following topics:
OLS
Potential outcomes
Treatment effects
Randomized controlled trials
Compliance and non-compliance
Difference-in-differences design
Regression discontinuity design
Matching methods
Heterogeneous treatment effects
Discrete choice experiments
Discrete choice models