Schmidt’s research has developed new insights about the risk exposures and decision-making processes of households, institutional investors, and financial intermediaries, and in doing so has deepened our understanding of asset prices, financial policy, and the workings of the real economy. His research to date involves two interrelated strands. The first and most active strand studies fundamental risk factors impacting the value of human capital and the causes and consequences of imperfect risk-sharing in labor and financial markets. The second strand aims to understand the underlying drivers of financial markets by focusing on the interplay between individual decision-making, strategic complementarities, and information processing frictions.

Schmidt’s research tackles these questions by a combination of quantitative models and empirical work. This work leverages, and often creates, novel microeconomic datasets, advanced econometric methods, and cutting-edge tools for textual analysis. He specializes in working large, administrative datasets capturing detailed, longitudinal information on millions of firms and workers. His work often features quantitative models that help make sense of the data and better understand financial market dynamics, evaluate welfare, and inform better economic policy.