Stéphane Lavertu’s teaching and research focus on public administration, political economy, public policy analysis and evaluation, and education policy and governance.
He has a doctorate in political science from the University of Wisconsin, a master’s degree in education 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, particularly in the context of K-12 education. 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 Political Science Review, American Journal of Political Science, and Journal of Politics; education journals such as Educational Evaluation & Policy Analysis and AERA Open; and economics journals such as Economics of Education Review,Journal of Public Economics, and Journal of Urban Economics.
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 such as the Thomas B. Fordham Institute.
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.