Dr. Stéphane Lavertu’s teaching and research focus on public administration, public policy analysis and evaluation, and education policy.
He has a doctorate in political science from the University of Wisconsin, a master’s degree in education policy analysis and evaluation from Stanford University, and a bachelor’s degree in political science from The Ohio State University.
His interdisciplinary research examines the politics of public administration and the performance of public organizations. He and his collaborators launched the Education Governance and Accountability Project to examine how political actors and institutions affect the administration and performance of public schools. He publishes in public administration journals such as Journal of Public Administration Research & Theory, Journal of Policy Analysis & Management and Public Administration Review; political science journals such as American Journal of Political ScienceandPolicy Studies Journal; education journals such as Educational Evaluation & Policy Analysisand AERA Open; and economics journals such asJournal of Urban Economics, Economics of Education Review and Journal of Law, Economics, & Organization.
Lavertu teaches courses on public policy, education policy, public administration and research design in the college’s bachelor’s, master’s and doctoral degree programs.
He is passionate about conducting policy-relevant research, particularly to help improve public education here in Ohio. He regularly conducts such research in collaboration with state and local government agencies, as well as nonprofit think tanks.
In July 2020, Columbus City leaders commissioned an independent, outside after-action review of the City’s response to protests that took place last summer. Former U.S. Attorney for the Southern District of Ohio Carter Stewart and the John Glenn College of Public Affairs were named the lead investigative team.
In this study, published in Economic Development Quarterly, the authors present a statistically valid typology of high-growth firms, also known as gazelles, to determine if payroll and job growth patterns differ between groups or clusters.
This study, published in the Bulletin of the American Meteorological Society, presents an experimental design that overcomes the counterfactual problem present in all prior published experiments by relying on an actual storm with a known outcome.