Estimating the effect of incarceration on recidivism and employment: An RD approach
Open to PhD students and faculty engaged in causal inference in education research.
From the speaker's bio:
Jeffrey Morenoff is an Associate Professor in the Department of Sociology and Associate Research Professor in the Population Studies Center and Survey Research Center. He is also Co-Director of the Robert Wood Johnson Health and Society Scholars Program at the University of Michigan. Professor Morenoff’s research interests include neighborhood environments, inequality, crime and criminal justice, the social determinants of health, racial/ethnic/immigrant disparities in health and antisocial behavior, and methods for analyzing multilevel and spatial data. Morenoff’s current projects include studies of (1) prisoner reentry in Michigan, (2) neighborhood environments and health in Chicago, (3) neighborhood environments, crime, and antisocial behavior in Medellín, Colombia, (4) change over time in the spatial concentration of poverty, and (5) long-term trajectories of health and mortality in the U.S. In 2004, Morenoff won the Ruth Shonle Cavan Young Scholar Award from the American Society of Criminology, for “outstanding contributions to the discipline of criminology.”
The objective of the Causal Inference in Education Research Seminar (CIERS) is to engage students and faculty from across the university in conversations around education research using various research methodologies.
This seminar provides a space for doctoral students and faculty from the School of Education, Ford School of Public Policy, and the Departments of Economics, Sociology, Statistics, and Political Science to discuss current research and receive feedback on works-in-progress. Discourse between these schools and departments creates a more complete community of education scholars, and provides a networking opportunity for students enrolled in a variety of academic programs who share common research interests. Open to PhD students and faculty engaged in causal inference in education research.