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
Recently published articles and working papers in this program area include:
Kory Kroft, René Leal Vizcaíno, Matthew Notowidigdo, and Ting Wang. 2020. Parallel Inverse Aggregate Demand Curves in Discrete Choice Models (WP-20-33).
Beth Redbird and Kat Albrecht. 2020. Measuring Racial Disparity in Local and County Police Arrests (WP-20-27).
Charles F. Manski and Aleksey Tetenov. 2020. Statistical Decision Properties of Imprecise Trials Assessing COVID-19 Drugs (WP-20-25).
Faculty ExpertsThis collaborative group of interdisciplinary scholars stems from statistics, economics, education, political science, and other social science fields.
There are no upcoming events at this time.