ECON 3370 Topics in Applied Econometrics

This is an advanced course in econometrics and data analysis, focusing on applications in the fields of economics, public health, energy, and the environment using observational data. Techniques to identify and analyze potentially causal relationships and compute treatment effects using linear and nonlinear econometric models for continuous, limited, and count outcomes will be presented. An individual research project will provide an opportunity to design empirical research and evaluate its outcomes via in-class presentation and submission at term's end. The course will be based on Stata, including a number of community-contributed routines. Enrollment is limited.

Course overview

Department
Economics
School
MCAS
Credits
3
Level
Undergraduate
Offered
Every Fall, Every Spring

Catalog details

Prerequisites
ECON2228

Catalog text is imported from the reviewed Boston College course snapshot. Confirm eligibility in EagleApps.

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
4.50 / 5 · Excellent
93 responses
Instructor rating
4.67 / 5 · Excellent
93 responses
Terms evaluated
6
Most recent: Spring 2026

Scales: overall ratings run from 1 (poor) to 5 (excellent); agreement questions from 1 (strongly disagree) to 5 (strongly agree); weekly effort from 1 (up to 1 hour) to 5 (10 or more hours).

Evaluations by term and instructor
TermInstructorCourse overallInstructor overallWell organizedClear learning objectivesIntellectually challengingHelpful assignmentsApplicable beyond courseAttendance necessaryWeekly effortResponses
Spring 2026C Maxwell4.95.05.04.94.94.95.04.74–6 hrs/week10 of 13
Fall 2025C Maxwell4.54.84.84.64.84.84.74.74–6 hrs/week19 of 20
Fall 2024C Maxwell4.74.74.74.84.94.94.84.97–9 hrs/week18 of 20
Fall 2023C Maxwell—————————15 of 18
Fall 2022C Maxwell4.24.44.64.54.74.64.64.64–6 hrs/week18 of 20
Spring 2022C Maxwell4.44.54.74.84.84.94.94.84–6 hrs/week13 of 20

Data freshness

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

Instructors

  • C Maxwell
    Spring 2026, Fall 2025, Fall 2024, Fall 2023, Fall 2022, Spring 2022 · Official rating 4.67/5
  • Christopher Baum
    Fall 2026

Sections

  • Section 01
    Fall 2026 · Christopher Baum · O'Neill Library 257 MW 01:30PM-02:45PM · Offered