Spring 2026 Data Science for Policy IA7520 section 001

Economics of Education Policy

Economics of Education Po

Call Number 10289
Points 3
Grading Mode Standard
Approvals Required None
Instructor Cristian Pop-Eleches
Type SEMINAR
Method of Instruction In-Person
Course Description

Pre-req: SIPA IA6501 - Quant II or equivalent quantitative methods course. This course applies empirical economic tools to the study of education policy, with a focus on both K-12 and higher education systems. Topics include class size, peer effects, teacher quality, school accountability, school choice, vouchers, and student incentives. In the context of higher education, the course covers investment in human capital, returns to college, and issues of access and equity across income, gender, and race. Students will engage with contemporary research and develop practical skills through empirical exercises using real data. Emphasis is placed on understanding identification strategies and interpreting results from recent studies. 

Web Site Vergil
Department Data Science for Policy
Enrollment 0 students (25 max) as of 6:06PM Tuesday, August 12, 2025
Subject Data Science for Policy
Number IA7520
Section 001
Division School of International and Public Affairs
Open To SIPA
Section key 20261DSPC7520U001