About the course
This master’s course teaches students to apply econometric methods to research questions in environmental economics. The central skill is designing an identification strategy suited to a given context, data environment, and research contribution, using reduced-form causal-inference designs — difference-in-differences, regression discontinuity, and randomized controlled trials, including recent variants such as staggered rollouts and continuous treatments.
Lectures build on academic papers across themes such as environmental justice, estimating the damages from climate change, environmental amenities and disamenities, the effects of environmental regulation on pollution, pollution monitoring, and an introduction to spatial data and remote sensing. Throughout, students use empirical evidence to evaluate and improve environmental policy.