The Department of Economics is delighted to welcome Karim Chalak, Denis Nekipelov, Andrew Kloosterman, and Peter Troyan as new faculty members!
Please read more about our new professors below (listed in alphabetical order). If you have any questions please feel free to contact Elysia (Ellie) Fung, email@example.com:
Mr. Chalak is an econometrician focusing on fundamental problems associated with estimation of causal estimation, network and peer effects. Researchers and policymakers alike face numerous problems drawing inferences about the effects of policy. In many cases, the available data is incomplete or in error, and in all cases the data alone cannot answer the counterfactual questions implicit in causal analyses: What would have happened had a different policy been in place? Inference requires assumptions. While traditional methods combine the available data with assumptions strong enough to reveal a specific answer, such assumptions rarely are well motivated, and social scientists often debate their validity. In light of this ambiguity, Mr. Chalak seeks to develop and apply innovative methodologies that pay close attention to the limits of data and the credibility of the underlying theory. These approaches enable inference without imposing untenable assumptions. There are strong synergies between Mr. Chalak’s work and the research interests of Mr. Nekipelov, allowing the Department to push to the frontier in applied econometrics.
Mr. Chalak is moving to the University of Virginia from appointment at Boston College. He received his Ph.D. from UC-San Diego in 2007. Mr. Chalak will join the Department as an Assistant Professor. https://www2.bc.edu/~chalak/default.html
Mr. Kloosterman does work in dynamic game theory and associated models with imperfect information. His portfolio includes both theory papers such as “Public Information in Markov Games”- which is under revision for the Journal of Economic Theory (top field journal) - and experimental papers in which he takes the theory to the lab, measuring how subjects respond with different information sets. Much of this work has implications for Industrial Organization in that it provides predictions for how firms behave and reveal information in multi-period or dynamic interactions under uncertainty.
Mr. Kloosterman did his undergraduate work at Washington University in St Louis and received his Ph.D. from New York University. Mr. Kloosterman will join the faculty as an Assistant Professor. https://files.nyu.edu/ask384/public/
Mr. Nekipelov's research is at the forefront of bridging the gap between economic approaches to data and emerging approaches to “big data” in computer science and engineering. He is doing this by, first, integrating new computational tools (often in collaboration with engineers and computer scientists) into his econometrics research and, second, by applying economic and econometric reasoning to key questions related to the management of big data. Mr. Nekipelov's research spans the areas of data security, industrial organization, and econometric theory.
Mr. Nekipelov's is at the forefront of efforts to develop new techniques to study how markets work and how econometric techniques can be used to predict behavior in response to policy. With the increased importance of online auctions, Mr. Nekipelov's develops and evaluates a model which explains key features of behavior in online auctions including dynamic learning and the motivation for the size and timing of bids in the context of eBay auctions. Working with Clark-award winner Susan Athey (Stanford), Mr. Nekipelov's has made extraordinary use of massive search engine query logs to model bidding of advertisers in online markets on sites such as Google and Microsoft, demonstrating imperfect competition in this market and potential inefficiencies in the online advertising auctions. In another area, his work on data security is revolutionary in taking a serious econometric approach to the question of how researchers can disclose estimates based on sensitive data while still protecting individual privacy.
Mr. Nekipelov's earned his Ph.D. in Economics from Duke and B.Sc. and M.Sc. degrees in Applied Physics and Mathematics from the Moscow Institute of Physics and Technology. Since completing his Ph.D., he has been a faculty member at UC-Berkeley and a visiting researcher at Microsoft Research. Mr. Nekipelov's will join the Department as an Associate Professor with tenure. He will also hold a courtesy appointment in Computer Science and will be a fellow in the new Data Sciences Institute. Mr. Nekipelov's work is not only an excellent complement to the research interests of the current faculty of the Economics Department, but his breadth of interests and expertise will enable important collaborations across Grounds. https://www.econ.berkeley.edu/faculty/837
Mr. Troyan works on non-price allocation mechanisms that use submitted ranks where price-based procedures would be inappropriate. Examples include school choice in big districts (Boston & New York are the common examples), medical resident matching, and assignment of individuals to jobs in an organization like the military. He is trained by Fuhito Kojima, Nobel prize-winner Al Roth, and Muriele Niederle at Stanford who are among the “best in business.” Mr. Troyan has begun a pipeline of research papers including a single-authored paper published in Games & Economic Behavior, and several other completed papers.
Mr. Troyan completed his undergraduate degree at the University of Michigan before pursuing his doctorate at Stanford. Mr. Troyan will join the faculty as an Assistant Professor.