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.
Recently published articles and working papers in this program area include:
Sheyu Li, Valentyn Litvin, and Charles F. Manski. 2022. Partial Identification of Personalized Treatment Response with Trial-Reported Analyses of Binary Subgroups (WP-22-40).
Caroline Chuard, Hannes Schwandt, Alexander Becker, and Masahiko Haraguchi . 2022. Economic vs. Epidemiological Approaches to Measuring the Human Capital Impacts of Infectious Disease Elimination (WP-22-29).
Jessica Polos, Stephanie Koning, Taylor Hargrove, Kiarri Kershaw, and Thomas McDade. 2022. Structural Racism in School Contexts and Adolescent Depression: Development of New Indices for the National Longitudinal Study of Adolescent to Adult Health and Beyond (WP-22-26).
This collaborative group of interdisciplinary scholars stems from statistics, economics, education, political science, and other social science fields.