Andres Santos
Visiting Fellow, March 7–11, 2011
Assistant Professor of Economics, University of California San Diego
Andres Santos studies nonparametric and semiparametric estimation and inference and large deviations optimality.
Among his recent working papers are “Interval Estimation of Potentially Misspecified Quantile Models in the Presence of Missing Data” (with Patrick Kline); “On the Asymptotic Optimality of Empirical Likelihood for Testing Moment Restrictions” (with Yuichi Kitamura and Azeem Shaikh); and “Semiparametric Estimation of Nonseparable Models: A Minimum Distance from Independence Approach” (with Ivana Komunjer).
Santos joined the University of California San Diego economics faculty in 2007, and won the Department of Economics Graduate Teaching Award for the next two years.
He earned his doctorate in economics at Stanford University, where he won the SIEPR DissertationFellowship in 2006 and the Sean Buckley Prize for Best PhD Candidacy Paper in 2004.
Papers Presented
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“Sensitivity to Missing Data Assumptions: Theory and an Evaluation of the U.S. Wage Structure”
Econometrics Workshop
3:30 p.m. Wednesday, March 9
Rosenwald 301