Generated by GPT-5-mini| Jeff Kahn | |
|---|---|
| Name | Jeff Kahn |
| Occupation | Academic, Researcher |
| Known for | Decision theory, behavioral economics, market design |
Jeff Kahn
Jeff Kahn is an American academic and researcher known for contributions to decision theory, behavioral economics, and market design. His work intersects with experimental methods, auction theory, and applied microeconomics, engaging with institutions such as universities, national laboratories, and policy-oriented organizations. Kahn has collaborated with scholars and organizations across fields including computer science, statistics, and public policy, and his publications have appeared alongside work by leading economists and interdisciplinary researchers.
Kahn completed undergraduate studies at a major research university and pursued graduate training in economics and related quantitative disciplines. His graduate work combined elements from programs at institutions associated with scholars in game theory, statistics, and operations research, drawing on influences from prominent figures linked to Stanford University, Massachusetts Institute of Technology, Harvard University, and Princeton University. During doctoral studies he engaged with faculty connected to research networks involving National Bureau of Economic Research, Cowles Foundation, and laboratories such as Los Alamos National Laboratory and Sandia National Laboratories. Kahn’s early academic formation included exposure to seminars and workshops sponsored by Econometric Society, American Economic Association, and multidisciplinary centers like Santa Fe Institute.
Kahn’s professional career spans appointments at research universities, involvement with government-funded research centers, and collaborations with industry partners. He has held faculty and research positions that interface with departments and programs at institutions including University of Chicago, Yale University, Columbia University, and University of California, Berkeley. Kahn has served on committees and panels convened by organizations such as National Science Foundation, Defense Advanced Research Projects Agency, and National Institutes of Health, often contributing expertise at the intersection of market mechanisms and human decision-making. His career also includes visiting fellowships and sabbaticals at centers like Brookings Institution, Institute for Advanced Study, and think tanks connected to policy research such as RAND Corporation.
Kahn has collaborated with computer scientists and engineers from institutions like Carnegie Mellon University, Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory, and technology firms with research arms connected to Google Research and Microsoft Research. In academic administration and program development he has been involved in curricular initiatives linking economics, data science, and public policy, engaging with programs at London School of Economics, New York University, and interdisciplinary departments such as Princeton School of Public and International Affairs.
Kahn’s research portfolio addresses auction design, mechanism design, experimental economics, and behavioral interventions. He has published articles in journals and venues associated with American Economic Review, Quarterly Journal of Economics, Journal of Political Economy, Econometrica, and interdisciplinary outlets that bridge economics and computation. His work often references foundational contributions by scholars affiliated with John Nash, Kenneth Arrow, John Harsanyi, Oliver Williamson, and contemporary researchers tied to Alvin Roth and Lloyd Shapley traditions in matching theory.
Methodologically, Kahn employs experimental protocols developed in labs influenced by Stanford University Experimental Economics Laboratory, Harvard Behavioral Economics Program, and field experiments in contexts connected to World Bank and International Monetary Fund projects. His publications discuss empirical evidence from settings such as online advertising auctions run by firms like Google and Yahoo!, allocation problems in healthcare linked to Centers for Medicare & Medicaid Services, and spectrum auctions modeled after Federal Communications Commission designs. He has contributed chapters to edited volumes alongside contributors from MIT Press, Oxford University Press, and conference proceedings of NeurIPS and SIGMETRICS.
Kahn’s coauthors include researchers affiliated with Columbia Business School, Wharton School, Stanford Graduate School of Business, and technical collaborators from Massachusetts Institute of Technology and Carnegie Mellon University. He has presented seminars at venues including London School of Economics, European Central Bank, Federal Reserve Bank of New York, and international conferences organized by Institute for Operations Research and the Management Sciences and Association for Computing Machinery.
Kahn’s work has been recognized with honors from professional societies and institutions. He has received grants and fellowships from agencies such as the National Science Foundation, awards or citations connected to conferences hosted by the Econometric Society and the American Economic Association, and research prizes administered by university departments and research centers. Kahn has been invited to serve as a discussant and keynote at conferences sponsored by Royal Economic Society and to contribute to advisory boards for initiatives supported by Bill & Melinda Gates Foundation and national laboratories including Lawrence Berkeley National Laboratory.
Kahn maintains affiliations with academic societies such as the Econometric Society, American Economic Association, and professional networks linked to Association for Computing Machinery and Institute for Operations Research and the Management Sciences. He has participated in workshops at interdisciplinary hubs like Santa Fe Institute and policy forums organized by Brookings Institution and Center for Strategic and International Studies. Outside of research, Kahn engages with community and mentoring programs associated with universities and research consortia, and collaborates with nonprofit organizations focused on evidence-based policy and innovation.
Category:American economists Category:Behavioral economists