Paul Goldsmith-Pinkham's research interests include consumer & corporate finance, applied econometrics, and social networks. His current work focuses on consumer debt, with an eye towards questions of racial, ethnic and gender disparities. He also does work as an applied econometrician, examining methods commonly used by empirical researchers. These include questions of causal inference as well as applying machine learning techniques to economic questions. Before joining Yale, Paul was a Research Economist at the Federal Reserve Bank of New York. He earned a bachelor’s degree in economics from Swarthmore College, and a PhD in economics from Harvard University.
Brattle Group Prize in Corporate Finance, First Place, Journal of Finance 2022 for Predictably Unequal? The Effects of Machine Learning on Credit Markets Outstanding Paper award for “Sea Level Rise Exposure and Municipal Bond Yields”, Jacobs Levy Center Research Paper Prizes, 2021 Best Empirical Finance Paper for “The Gender Gap in Housing Returns”, WRDS (Wharton Research Data Services), 2020 Best Empirical Finance Paper for “Predictably Unequal? The Effects of Machine Learning on Credit Markets”, WRDS (Wharton Research Data Services), 2019