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:
Rebecca Dizon-Ross and Seema Jayachandran. 2022. Improving Willingness-to-Pay Elicitation by Including a Benchmark Good (WP-22-11).
Stephen DeCanio, Charles F. Manski, and Alan Sanstad. 2022. Minimax-Regret Climate Policy With Deep Uncertainty in Climate Modeling and Intergenerational Discounting (WP-22-09).
This 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.