This course presents state of the art program evaluation techniques necessary to evaluate the impact of environmental policies. The program evaluation methods presented aim at identifying and measuring the causal effect of policies, regulations, and interventions on environmental outcomes of interest. Students learn the research designs and methods for estimating causal effects with experimental and non-experimental data. This will prepare students for interpreting and conducting high-quality empirical research, with applications in cross-sectional data and panel data settings.

No Prerequisites

2

Units

Letter

Grading

1, 2, 3

Passtime

Graduate students only

Level Limit

Environmental science

College
These majors only eds
T B A
No info found

Lecture

BREN 1424
W
09:30 AM - 10:45 AM
0 / 29
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EDS 241 Heckelei T Winter 2024 Total: 32
EDS 241 Deschenes O Winter 2023 Total: 32
EDS 232
0 / 29 Enrolled
Machine Learning in Environmental Science
Robbins M J
T R
09:30 AM - 10:45 AM
91.2% A
EDS 240
0 / 36 Enrolled
Data Visualization and Communication
Csik S
M
12:15 PM - 15:15 PM
90.3% A
EDS 296
0 / 40 Enrolled
Advanced Special Topics in Environmental Data Science
Csik S
F
10:00 AM - 16:00 PM
EDS 411A
0 / 30 Enrolled
Capstone Project
Galaz-Garcia
W
13:00 PM - 16:00 PM
97.6% A
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