ECON332
POLICY EVALUATION
- Department
- Economics
- Terms offered
- 1
- Data refreshed
- Jun 27, 2026
Description
This graduate level class will focus on learning and applying analytical and statistical tools for policy evaluation. We will use statistical software (Stata) to analyze data and estimate causal effects with some of the main methodologies used to impact evaluation-randomization, differences-in-differences, instrumental variables and regression-discontinuity.
Syllabi
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Offerings and forecast 2025
2025
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: not enough history to forecast. | 2030 Spring: not enough history to forecast. | 2030 Summer: not enough history to forecast. | 2030 Intersession: not enough history to forecast. |
| 2029 | 2029 Fall: not enough history to forecast. | 2029 Spring: not enough history to forecast. | 2029 Summer: not enough history to forecast. | 2029 Intersession: not enough history to forecast. |
| 2028 | 2028 Fall: not enough history to forecast. | 2028 Spring: not enough history to forecast. | 2028 Summer: not enough history to forecast. | 2028 Intersession: not enough history to forecast. |
| 2027 | 2027 Fall: not enough history to forecast. | 2027 Spring: not enough history to forecast. | 2027 Summer: not enough history to forecast. | 2027 Intersession: not enough history to forecast. |
| 2025 | Not offered | 1 section | Not offered | Not offered |
Forecast Under 15% 15–39% 40–69% 70–89% 90%+ Not enough history
Fall Spring Summer Intersession More sections Not offered No data
Meeting times
Recent first- Tue, Thu, 10:25 AM–11:40 AM JC120 2025
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Spring 2025 | Magda R. Tsaneva | Lecture | 1 | 0 of 10 enrolled | 33854 |