Graduate Student - PhD
About
Jamie Fogel is a Ph.D. student in economics at the University of Michigan with interests in labor, macro, the economics of networks, and large-scale data analysis. His current research develops new methods for identifying and analyzing latent information embedded in large administrative data sets and applies these methods to questions in labor economics. His job market paper, "What is a Labor Market? Classifying Workers and Jobs Using Network Theory" develops a new method for classifying worker and job heterogeneity based on information revealed by worker-job matching patterns. Prior to starting his Ph.D., Jamie earned a B.S. in economics from the University of Michigan and worked as a research assistant at the Federal Reserve Bank of Boston and the Harvard Lab for Economic Applications and Policy. Jamie’s past research topics include consumption behavior during the Great Recession, the effect of foreclosure on students, using Markov chain models to understand labor market flows, and the causal effect of where children grow up on economic mobility.
