معرفی
Timothy Christensen is a Professor of Economics at Yale University, previously holding a Professorship at University College London. He earned a Ph.D. in Economics from Yale University in 2014. His research focuses on theoretical and applied econometrics, financial econometrics, and statistics/data science, with recent work exploring the integration of machine learning and unstructured data into economic modeling. He has secured grants from the National Science Foundation and the European Research Council to support his research. His recent work includes advancements in optimal estimation and inference in nonparametric models using instrumental variables, with applications to firm export elasticities in trade models.
Research Interests: Christensen’s interdisciplinary approach bridges econometrics and machine learning, addressing challenges in modeling unstructured data. His methods emphasize data-driven sieve dimension choices and uniform confidence bands for robust inference. This work has implications for understanding firm heterogeneity in international trade.
Grants & Awards: His grants include funding from the NSF and ERC. No specific scientific awards are listed in the provided information.
Labs/Teams: No specific lab or team affiliations are explicitly mentioned.
