December 28, 2020
Simple and Credible Value-Added Estimation Using Centralized Assignment
Many large urban school districts match students to schools using algorithms that incorporate an element of random assignment. We introduce two simple empirical strategies to harness this randomization for measuring the causal effects of individual schools. In applications to data from Denver and New York City, we find that our models yield highly reliable school effectiveness estimates.
Authors
Joshua Angrist, Peter Hull, Parag Pathak, Christopher Walters
November 13, 2020
What prioritizing worse-off minority groups for COVID-19 vaccines means quantitatively: practical, legal, and ethical implications
Authors
Harald Schmidt, Utku Ünver, Michelle Williams, Parag Pathak,Tayfun Sönmez, and Lawrence Gostin
September 28, 2020
Marginal Effects of Merit Aid for Low-Income Students
Authors
Joshua Angrist, David Autor, Amanda Pallais
December 5, 2019
Do Parents Value School Effectiveness?
Authors
Atila Abdulkadiroglu, Parag A. Pathak, Jonathan Schellenberg, and Christopher R. Walters
May 6, 2019
Can Successful Schools Replicate? Scaling Up Boston’s Charter School Sector
Authors
Sarah Cohodes, Elizabeth Setren, Christopher Walters
April 15, 2019
Breaking Ties: Regression Discontinuity Design Meets Market Design
Authors
Atila Abdulkadiroglu, Joshua D. Angrist, Yusuke Narita, and Parag A. Pathak
July 26, 2018
Fiscal and Education Spillovers from Charter School Expansion
Authors
Matt Ridley and Camille Terrier
November 13, 2017
How Well Do Structural Demand Models Work? Counterfactual Predictions in School Choice
Authors
Parag A. Pathak and Peng Shi
August 31, 2017
The Impact of Price Caps and Spending Cuts on U.S. Postsecondary Attainment
Authors
David J. Deming and Christopher R. Walters