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
Working Papers
Recently published articles and working papers in this program area include:
Seema Jayachandran, Monica Biradavolu, and Jan Cooper. 2021. Using Machine Learning and Qualitative Interviews to Design a Five-Question Women's Agency Index (WP-21-23).
David de la Croix and Matthias Doepke. 2021. A Soul’s View of the Optimal Population Problem (WP-21-14).
Charles F. Manski, Alan Sanstad, and Stephen DeCanio. 2021. Addressing Partial Identification in Climate Modeling and Policy Analysis (WP-21-06).
Faculty Experts
This collaborative group of interdisciplinary scholars stems from statistics, economics, education, political science, and other social science fields.
Events
TBA
Larry Hedges, Board of Trustees Professor of Statistics and Education and Social Policy, Professor of Psychology and Medical Social Sciences, and IPR Fellow