ECON 3396 Quasi-Experimental Energy and Environmental Economics

This course offers an in-depth exploration of experimental and quasi-experimental methods for analyzing key issues in energy and environmental economics. Designed for advanced undergraduate students, it focuses on causal inference and policy evaluation in real-world contexts. The course covers a range of methodologies, including randomized controlled trials, difference-in-differences, instrumental variables, regression discontinuity designs, and synthetic control methods. These tools are applied to study topics such as the impacts of environmental regulations, the economic effects of climate change, the effectiveness of renewable energy subsidies and energy infrastructure investments, and the role of behavioral interventions in promoting energy efficiency. Students will engage with cutting-edge research, replicate empirical studies, and develop their own research proposals. By blending theoretical knowledge with hands-on data analysis, the course prepares students to design and evaluate evidence-based policies for addressing energy and environmental challenges.

Course overview

Department
Economics
School
MCAS
Credits
3
Level
Undergraduate
Offered
Periodically

Catalog details

Prerequisites
ECON2201 and ECON2228

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Requirements fulfilled

Requirement eligibility can vary by school, cohort, and section. Confirm the selected section in EagleApps or with an advisor.

Course evaluations

Response-weighted averages from Boston College’s official course evaluations (Avalanche/Blue).

Course rating
4.45 / 5 · Very Good
13 responses
Instructor rating
4.73 / 5 · Excellent
13 responses
Terms evaluated
1
Most recent: Fall 2025

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryResponses
Fall 2025Edson Severnini4.54.74.54.34.74.74.84.313 of 18

Data freshness

Course and evaluation data last updated 2026-10-09. Source details and limitations are documented in Data Sources and Methodology.

Instructors

Sections

  • Section 01
    Fall 2026 · Edson Severnini · Stokes Hall 205S TuTh 10:30AM-11:45AM · Offered