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k e y n o t e s e s s i o n s 2011
Economic Journal Lecture Monday 15.30 – 16.45
Chair: Rachel Griffith, University of Manchester and IFS Location: Windsor Auditorium
Efficient Mechanisms for Level-k Bilateral Trading:
Vincent Crawford, University of Oxford and UCSD
Vincent P. Crawford is Drummond Professor of Political Economy at Oxford University and
Fellow of All Souls College since 2010. He is also Professor Emeritus and Research Professor at
the University of California at San Diego (UCSD).
He is a Fellow of the American Academy of Arts and Sciences, the Econometric Society, and the
Guggenheim Foundation. He was Co-Editor of the American Economic Review between 2005 and
2009. He received the A.B. Summa cum Laude in Economics from Princeton University in 1972 and
the Ph.D. in Economics from M.I.T. in 1976.
Professor Crawford’s research has focused on game-theoretic questions in economics, with
emphases on bargaining and arbitration, strategic communication, matching markets, learning,
and coordination. His main current research area is behavioral and experimental game theory and
behavioral economics more generally. Representative recent <strong>papers</strong> include “Cognition and Behavior
in Two-Person Guessing Games: An Experimental Study” with Miguel Costa-Gomes, 2006 American
Economic Review 2006; “Level-k Auctions: Can Boundedly Rational Strategic Thinking Explain the
Winner’s Curse and Overbidding in Private-Value Auctions?” with Nagore Iriberri, Econometrica 2007
and “Fatal Attraction: Salience, Naivete, and Sophistication in Experimental Hide-and-Seek Games”
with Nagore Iriberri, American Economic Review 2007. He is among the world’s top 5% authors in
economics according to IDEAS/RePEc.
Sargan Lecture Tuesday 11.15 – 12.30
Chair: Andrew Chesher, UCL and cemmap Location: Windsor Auditorium
To be announced
Rosa Matzkin, UCLA
Rosa Matzkin is Charles E. Davidson Professor of Economics at the University of California at Los
Angeles (UCLA). Her research has been aimed at creating a tight connection between econometrics
and economic theory, relaxing, at the same time, the parametric restrictions that one typically
imposes when estimating a model. When doing applied work, one may decide to make parametric
assumptions because of computational benefits, scarcity of data, or other important considerations.
Analyzing what can be inferred when such assumptions are not in place allows one to learn what
type of conclusions do not depend on such parametric specifications. A tight connection between
econometrics and economic theory allows one to interpret estimates in terms of the elements of
the model, and to evaluate counterfactuals under environments where some of the elements in the
model do not change. It also allows one to determine whether observations are consistent with any
particular model.
Selected recent works include “Identification in Nonparametric Simultaneous Equations,”
Econometrica 2008; “Nonparametric Identification,” in Handbook of Econometrics 2007 and
“Cross Section and Panel Data Estimators for Nonseparable Models with Endogenous Regressors,”
with Joseph Altonji in Econometrica 2005.
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