Quantitative Methods for Policy Research
Under its research program on Quantitative Methods, the Statistics for Evidence-Based Policy and Practice, or STEPP, Center seeks to serve the practitioners and policymakers by developing and promoting state-of-the-art methods for researchers, especially in education and the applied social sciences. It seeks to generate strong evidence on research designs, synthesize and interpret results of multiple studies, and translate findings to inform policy and practice. The STEPP Center was founded in 2019 and evolved from IPR’s Q-Center.
A Message From Larry Hedges, Program Chair and STEPP Co-Director
We launched the Q-Center at IPR in 2006 to take advantage of a critical mass of scholars at the forefront of evidence-based research on social policy issues. Today, we seek to build on our foundational work by launching the STEPP Center to further develop and assess methods to generate, synthesize, and translate evidence to improve policy and practice.
Working Papers
Recently published articles and working papers in this program area include:
Charles F. Manski. 2023. Using Limited Trial Evidence to Credibly Choose Treatment Dosage When Efficacy and Adverse Effects Weakly Increase With Dose (WP-23-19).
Valentin Bolotnyy, Mayya Komisarchik, and Brian Libgober. 2023. How Does Living Under Left-Wing Authoritarianism Affect Refugees Who Settle in Democracies? Evidence From Soviet Refugees (WP-23-16).
Charles F. Manski, John Mullahy, and Atheendar Venkataramani. 2022. Using Measures of Race to Make Clinical Predictions: Decision Making, Patient Health, and Fairness (WP-22-47).
Faculty Experts
This collaborative group of interdisciplinary scholars stems from statistics, economics, education, political science, and other social science fields.
Events
There are no upcoming events at this time.