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Pricila Maziero

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Luis Cabral

Sydney Ludvigson

FACULTY

Dilip Abreu is Professor of Economics at New York University. Among the central areas to which he has contributed are repeated games, bargaining and reputation formation; he has explored novel intersections between these topics. He has also made key contributions to implementation theory and foundational issues in finance. Abreu has previously taught at Harvard, Princeton and Yale. Most recently he was the Edward E. Matthews, Class of 1953, Professor of Finance and Professor of Economics at Princeton. A Fellow of the Econometric Society (1991) and the Society for the Advancement of Economic Theory (2013), he was elected to the American Academy of Arts and Sciences in 2001. After earning a BA from Bombay University, an MA from the Delhi School of Economics and an M.Phil from Oxford University, Abreu received his Ph.D from Princeton University.
Course to be taught:

Jaroslav Borovička is Associate Professor of Economics at New York University. He received an MA in computer science and mathematics from the Czech Technical University in Prague, an MA in economics from CERGE-EI, Charles University, Prague, and a PhD in financial economics from University of Chicago. He previously worked as economist at the Federal Reserve Bank of Chicago, and is a Research Associate at the National Bureau of Economic Research. His research spans theoretical and quantitative work in macroeconomics and asset pricing, and includes publications in Journal of Political Economy, Journal of Finance, or Journal of Economic Theory. He also teaches macroeconomics and asset pricing theory at the undergraduate and PhD level.
Course to be taught: Computational Dynamics

Luís Cabral is Paganelli-Bull Professor of Economics and chair of the NYU Stern Economics department. His research is focused on the dynamics of firm competition. He is the author of Introduction to Industrial Organization, one of the field’s leading textbooks. He is a Past President of the European Association for Research in Industrial Economics.
Course to be taught: Industrial Organization I

Gian Luca Clementi is a Professor of Economics at the Stern School of Business, New York University. Professor Clementi earned a B.A in Economics from the University of Bologna and a M.A. and PhD in Economics from the University of Rochester. Professor Clementi joined Stern in 2003. Before then, he was an Assistant Professor of Finance at the Tepper School of Business, Carnegie Mellon University. His research interests are mainly in firm dynamics and corporate finance. The overarching theme of most of his work is the analysis of how market inefficiencies affect firms’ decisions and the aggregate economy. His papers have appeared in a variety of academic journals, among which the Quarterly Journal of Economics, the Review of Economic Studies, and the Journal of Finance. Professor Clementi has taught macroeconomics courses to students enrolled in the PhD program and in the MBA program. Professor Clementi is also the academic director of the B.S. in Business and Political Economy, one of the three majors at Stern’ s Undergraduate College.
Course to be taught: Macroeconomics II

Chase Coleman is a visiting assistant professor at NYU. Chase received his PhD in economics from NYU’s Stern School of Business in 2019. At Stern, he co-developed the “Data Bootcamp” course and has taught similar courses and workshops around the world. He has been a lead developer at quantecon. He loves mathematics, economics, and programming, and he compulsively buys books on all three topics.
Course to be taught: Data and Computation I

Chris Conlon is an Assistant Professor at New York University Stern School. Conlon's research focuses on industrial organization and econometrics. More specifically, his work examines contractual relationships between manufacturers, wholesalers and retailers. Important aspects of these relationships include the assortment and availability of products and the dynamics of price competition over time. His recent studies have looked at interactions between taxes, regulations and competition among firms. He has also developed a number of tools for antitrust practitioners. His recent work has examined a variety of industries including LCD televisions, alcoholic beverages and snack foods. Before joining NYU Stern, Conlon was an Assistant Professor of Economics at Columbia University. He received his A.B. in Applied Mathematics and his A.M. in Statistics from Harvard University, and he holds a Ph.D. in Economics from Yale University.
Course to be taught: Econometrics II, Industrial Organization II

Joyee Deb is Professor of Economics at New York University. She is a microeconomic theorist, best known for her work on repeated games and community enforcement. She has broad research interests spanning repeated games, reputational dynamics, bargaining, organizational economics and political economy. She is currently Editor at the RAND Journal of Economics. She has previously taught at NYU Stern School of Business and Yale. Most recently, she was Professor of Economics at Yale University, where she spent almost a decade. Deb has a Ph.D. in Economics from Northwestern University, and a B.Sc. in Mathematics from St. Stephen’s College, Delhi University. Outside academia, she serves on the advisory board of iMentor, a non-profit focused on mentoring first-generation college students in marginalized communities.
Course to be taught: Game Theory II

Niklas Engbom is an Assistant Professor at New York University's Stern School of Business. His research focuses on macroeconomics and in particular labor markets. More specifically, his work examines how aggregate labor market dynamics are shaped by the underlying microlevel behavior of individual workers and firms. Recently, he has studied the inequality effects of a minimum wage and the impact of demographic change on labor market dynamics and growth. His work has appeared in several academic journals, including Econometrica, American Economic Journal: Macroeconomics and Journal of Econometrics. Before joining NYU, he was a Research Economist at the Federal Reserve Bank of Minneapolis. He received his BA in Economics from Stockholm School of Economics and Ph.D. in Economics from Princeton University.
Course to be taught: Macroeconomics III, Macroeconomics IV
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Christopher Flinn is Professor of Economics at New York University and Senior Research Fellow at Collegio Carlo Alberto in Turin, Italy. He has served on the editorial boards of the International Economic Review, Journal of Human Resources, Labor Economics, European Economic Review, and a number of others. He is a research affiliate of the Institute for Research on Poverty (IRP) at the University of Wisconsin-Madison and has served on the advisory board of the interdisciplinary Institute for Human Development and Social Change (IHDSC) at New York University. He earned his Ph.D. in economics from the University of Chicago after studying demography at the University of Michigan. His research interests include labor markets, with particular emphasis on labor markets with search frictions, household economics and child development, and model-based estimation. His research has appeared in such journals as the American Economic Review, the Review of Economic Studies, Econometrica, and the Journal of Political Economy. He is a Fellow of the Econometric Society.
Course to be taught: Applied Micro II

Alfred Galichon is a joint Professor of Economics and Mathematics at New York University, an affiliated faculty member of NYU’s Center for Data Science, and the director of NYU Paris, NYU’s academic center in Paris. He also serves as the principal investigator of the ERC-funded EQUIPRICE project at Sciences Po, Paris.
His research interests span widely across theoretical, computational and empirical questions and include econometrics, microeconomic theory, and data science. He is one of the pioneers of the use of optimal transport theory in econometrics, and the author of a monograph on the topic, Optimal Transport Methods in Economics (Princeton, 2016). He is the author of over forty research articles that have appeared in journals such as the Annals of Statistics, the Journal of Political Economy, Econometrica, and the Review of Economic Studies. He is a co-editor of Economic Theory and he has served as the principal investigator of grants under the European Research Council and the National Science Foundation (NSF).
Alfred Galichon is also interested in designing innovative educational experiences. He is the creator of the ‘math+econ+code’ masterclasses, a series of week-long immersive classes at the intersection between mathematics, economics and data science. Professor Galichon holds a Ph.D. in economics from Harvard University (2007), and an engineering degree from Ecole Polytechnique (X97) and one from Ecole des Mines de Paris (Corps des Mines, 2002). Among his numerous awards, he is an elected Fellow of the Society for Economic Theory, a Fellow of the Econometric Society, “Young Leader” of the French-American foundation, and a recipient of the Edmond Malinvaud prize. He is a board member of Amicale du Corps des Mines.
Course to be taught: Data & Computation II

Spencer Lyon is a visiting assistant professor at NYU. Spencer received his PhD in economics from NYU Stern in 2018. His research interests are spread across topics from macroeconomics, international trade, reinforcement learning, and applied machine learning. Spencer has (co-) created and taught 7 distinct courses on these topics.
Course to be taught: Data and Computation I

Erik Madsen is an Assistant Professor of Economics at New York University. He conducts research in microeconomic theory, with particular interests in the design of incentives within organizations, the dynamics of industrial competition and collusion, and the regulation of data and digital platforms. His work has been published in the American Economic Review, the Review of Economic studies, and Theoretical Economics. He holds a BS in physics and economics from the California Institute of Technology and a PhD in economic analysis and policy from the Stanford Graduate School of Business.
Course to be taught: Game Theory I
Elena Manresa is an Associate Professor of Economics at NYU. Her research is in the area of microeconometrics, where she has pioneered the use of machine learning tools such as k-means clustering or generative adversarial estimation in economics. Manresa holds a BS in Mathematics from Universitat Politècnica de Catalunya (UPC) in Barcelona, and a PhD in economics from Centro de Estudios Monetarios y Financieros (CEMFI) in Madrid. Her research has been published in Econometrica and Journal of Econometrics. Prior to joining NYU she was an Assistant Professor at MIT Sloan School of Management. She is the recipient of the Sloan Research Fellowship, 2021.
Course to be taught: Econometrics III

Pricila Maziero is a Clinical Associate Professor of Economics at the NYU Stern Economics department. She holds a BA from the State University of São Paulo, MA from University of São Paulo and PhD from the University of Minnesota. She has previously taught at the Wharton School of the University of Pennsylvania and was a Research Analyst at the Minneapolis Federal Reserve Bank.
Maziero conducts research on optimal dynamic contracts applied to macroeconomics, public finance and corporate finance.
Course to be taught: Research Practicum II

Petra Moser is a Professor of Economics and the Jules Backman Faculty Fellow at NYU Stern. Her research, which has been published in top journals, such as the American Economic Review and the Journal of Political Economy, combines methods from applied microeconomics and economic history to explore the determinants of creativity and innovation. Her book on Pirates and Patents is under contract with Princeton University, and she he has edited another book on the Economics of Research and Innovation in Agriculture. Professor Moser’s research has won numerous awards, including an NSF CAREER awards, fellowships at the Center for Advanced Studies in the Behavioral Sciences, the Hoover Institution, and the Gerschenkron Dissertation Prize, and a Fulbright Fellowship. Before coming to Stern, Professor Moser taught at MIT and Stanford. She holds a PhD in Economics from UC Berkeley and an MA in International Relations from Yale.
Course to be taught: Applied Micro I, Research Practicum I

Efe A. Ok is a Professor of Economics and Mathematics at New York University. He received two PhDs, one in economics and one in applied mathematics, both from Cornell University. His research centers on individual decision theory and welfare economics, with special concentration on the theory of incomplete preferences, as well as on topological order theory. He teaches real analysis, probability theory, and topology courses in the department of economics and the Courant Institute of Mathematical Sciences at the undergraduate and graduate level.
Course to be taught: Math Methods I

After studies in his native Canada at McMaster and Queen’s Universities, David Pearce started his doctoral studies at Princeton intending to become a macroeconomic theorist. Emerging instead as a game theorist, he introduced the ideas of rationalizable strategic behavior (alongside the independent work of Doug Bernheim) and psychological games (with John Geanakoplos and Ennio Stacchetti).
A partnership with Abreu and Stacchetti produced strategic dynamic programming tools known as APS and continues today with investigations of bargaining and reputation.
Pearce taught at Yale for twenty years, the last four serving as Chair of the Department of Economics. His teaching prizes there were motivated by memories from his student days of the importance of teaching. On the faculty of NYU since 2004, Pearce is a Fellow of the Econometric Society and an elected member of the American Academy of Arts and Sciences.
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Diego Perez is an Assistant Professor of Economics at New York University. He holds a Ph.D. in economics from Stanford University and a B.A. in economics from Universidad de Montevideo, Uruguay. He is a Faculty Research Fellow at the National Bureau of Economic Research and the recipient of the Raul Trajtemberg award, the highest honor conferred to young Uruguayan economists. Previously, he was a Kenen Fellow and a Visiting Professor at Princeton University. Perez’s research is in the area of international macroeconomics and finance, with a focus on analyzing the effects of economic crises and stabilization policies.
Course to be taught: Macroeconomics I

Debraj Ray is Silver Professor in the Faculty of Arts and Science and Professor of Economics at New York University. He received his BA from the University of Calcutta and his PhD in 1983 from Cornell University. He has previously taught at Stanford University, the Indian Statistical Institute, and Boston University. He is a Fellow of the Econometric Society, a Guggenheim Fellow, a Fellow of the Society for Advancement in Economic Theory, and a Fellow of the American Academy of Arts and Sciences. He holds an honorary degree from the University of Oslo and has completed a nine-year term as co-editor of the American Economic Review. Among Ray’s teaching awards are the Dean’s Award for Distinguished Teaching at Stanford and the Golden Dozen teaching award from New York University. Ray’s textbook, Development Economics (Princeton University Press) was described by the Chronicle of Higher Education as “a revolutionary textbook that takes the field by storm.”
Ray’s research interests include development economics and game theory.
Course to be taught: Microeconomics I

Ariel Rubinstein was born in Jerusalem in 1951. He received his PhD from the Hebrew University in Jerusalem in 1979. He has been a Professor at the Hebrew University and at Princeton and currently is a Professor of Economics at New York University and Tel Aviv University (emeritus). He has served as the President of the Econometric Society (2004). He is a foreign honorary member of the American Academy of Arts and Sciences and the American Economic Association, an Elected Fellow of the Israeli Academy of Sciences and Elected Corresponding Fellow of the British Academy. He won the Israel Prize (2002), the Nemmers Prize (2004), the EMET prize (2006) and the Rothschild Prize (2010). He has written 7 books: Bargaining and Markets (with M. Osborne) (1990), A Course in Game Theory (with M. Osborne) (1994), Modeling Bounded Rationality (1998), Economics and Language (2000), Lecture Notes in Microeconomics (2005), Economic Fables (2012) and Models of Microeconomic Theory (with M.Osborne) (2020).
Rubinstein’s main fields of research are Economic Theory, Decision Theory and Models of Bounded Rationality.
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Maher Said is an Associate Professor of Economics at New York University Stern School of Business. He is an applied microeconomic theorist working at the intersection of game theory and industrial organization, focusing on information economics and dynamic mechanism design. His research has been published in the American Economic Review, the Review of Economic Studies, and the Journal of Economic Theory, among other journals, and his teaching has been recognized by the Stern Distinguished Teaching Award. He earned his B.A. in Economics and Mathematics from New York University and his Ph.D. in Economics from Yale University.
Course to be taught: Microeconomics II

Thomas J. Sargent is cofounder with John Stachurski of QuantEcon, an open source website for teaching Python, Julia, and economics. He is William R. Berkley Professor of Economics and Business at New York University. A professor of economics at the University of Minnesota from 1975 to 1987, he was also the David Rockefeller Professor at the University of Chicago from 1992 to 1998. Sargent is past president of the Econometric Society, the American Economic Association, and the Society for Economic Dynamics. Sargent was elected a fellow of the National Academy of Sciences and a fellow of the American Academy of Arts and Sciences, both in 1983. Among his books are Rational Expectations and Econometric Practice, with Robert E. Lucas Jr., University of Minnesota Press, 1981; The Big Problem of Small Change, with Francois Velde, Princeton University Press, 2002; Recursive Macroeconomic Theory, with Lars Ljungqvist, MIT Press, 2018; and Robustness, with Lars Peter Hansen, Princeton University Press, 2007. Sargent earned his PhD from Harvard University in 1968 and was a first lieutenant and captain in the US Army.
Course to be taught: Data & Computation I

Ennio Stacchetti came to economics from an applied math and computer science background. Along with Dilip Abreu and David Pearce, he developed strategic dynamic programming tools including “self-generation” that are widely used in macroeconomics, industrial organization and other areas. His notable contributions to game theory include work on mechanism design, regulation, continuous-time asset pricing, bargaining theory and reputational dynamics. Stacchetti regularly teaches first and second year doctoral courses in the FAS Department of Economics and has served as the Director of Graduate Studies. He is a Fellow of the Econometric Society.
Course to be taught: Math Methods II

Sharon Traiberman is an Assistant Professor of Economics at New York University. His research interests are international trade and labor economics. Specifically, he studies the adjustment process for workers in response to changes in import costs: Which workers are able to successfully reallocate and on what margins do they adjust? What are the barriers to adjustment for struggling workers? He holds a BS in Economics and Mathematics from the University of Michigan and a PhD in Economics from Princeton University.
Course to be taught: International Economics

Venky Venkateswaran is Associate Professor of Economics in the NYU Stern School of Business. He works in the areas of macroeconomics and theory, with particular emphasis on the role of information. He is a Faculty Research Fellow at the National Bureau of Economic Research.
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Xiye Yang is an Associate Professor of Economics at Rutgers University. His research focuses on high frequency financial econometrics and semiparametric models. Xiye holds a BA from Peking University, an Mphil from Tinbergen Institute, and a PhD from University of Amsterdam.
Course to be taught: Econometrics I

Stanley Zin is the William R. Berkley Professor of Economics, and past Chair of the Economics Department at Stern. He also holds an appointment in the Stern Finance Department and is a Research Associate of the National Bureau of Economic Research in Cambridge, MA. Prior to joining NYU in 2009, he taught at the Tepper School of Business at Carnegie Mellon University for 21 years, where he was the Richard M. Cyert and Morris H. DeGroot Professor of Economics and Statistics, economics department chair, and a two-time teaching award winner. He has also taught at Wharton, UCSD, Queen’s University, and he has served as a consultant to the Federal Reserve along with a variety of businesses in the financial services industry. His research lies at the intersection of macroeconomics and financial markets and was awarded the Frisch Medal by the Econometric Society.
Course to be taught: Financial Economics