2011 - Fischer Black Prize, American Finance Association (AFA)
2011 - Fellows of the Econometric Society
Xavier Gabaix focuses on Zipf's law, Executive compensation, Incentive, Distribution and Econometrics. His Zipf's law research incorporates elements of Rank-size distribution, Gibrat's law, Power law, Economy and Neoclassical economics. His biological study spans a wide range of topics, including Moral hazard, Market capitalization and Corporate finance.
His Incentive study combines topics from a wide range of disciplines, such as Econometric model, Inefficiency and Industrial organization. His study in Distribution is interdisciplinary in nature, drawing from both Business cycle, Construct and Economic geography. His study on Rendleman–Bartter model is often connected to Environmental science as part of broader study in Econometrics.
Xavier Gabaix mostly deals with Econometrics, Incentive, Volatility, Microeconomics and Financial economics. His study in the field of Econophysics and Equity premium puzzle is also linked to topics like Aggregate. Specifically, his work in Incentive is concerned with the study of Executive compensation.
His work is dedicated to discovering how Volatility, Monetary economics are connected with Business cycle and other disciplines. His work deals with themes such as Stock market and Stock market volatility, which intersect with Financial economics. His research in Stock market tackles topics such as Power law which are related to areas like Distribution.
Xavier Gabaix spends much of his time researching Econometrics, Microeconomics, Incentive, Executive compensation and Canonical model. His work on Instrumental variable as part of general Econometrics research is frequently linked to Aggregate, bridging the gap between disciplines. He combines subjects such as Nudge theory and Revenue with his study of Microeconomics.
His biological study deals with issues like Mental accounting, which deal with fields such as Pigou effect. The Incentive study combines topics in areas such as Principal–agent problem and Shareholder value. His Principal–agent problem research is multidisciplinary, relying on both Moral hazard and Contract theory.
Econometrics, Microeconomics, Incentive, Executive compensation and Shareholder value are his primary areas of study. His Econometrics research is multidisciplinary, incorporating elements of Pareto principle and Economic inequality. When carried out as part of a general Microeconomics research project, his work on Optimal tax is frequently linked to work in Top management, Simple and Commodity, therefore connecting diverse disciplines of study.
He has researched Incentive in several fields, including Corporate governance, Public economics and Empirical research. In his works, Xavier Gabaix conducts interdisciplinary research on Executive compensation and Empirical evidence.
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Zipf's Law for Cities: An Explanation
Xavier Gabaix.
Quarterly Journal of Economics (1999)
Zipf's Law for Cities: An Explanation
Xavier Gabaix.
Quarterly Journal of Economics (1999)
Why has CEO Pay Increased So Much
Xavier Gabaix;Augustin Landier.
Quarterly Journal of Economics (2008)
Why has CEO Pay Increased So Much
Xavier Gabaix;Augustin Landier.
Quarterly Journal of Economics (2008)
SHROUDED ATTRIBUTES, CONSUMER MYOPIA, AND INFORMATION SUPPRESSION IN COMPETITIVE MARKETS
Xavier Gabaix;David I. Laibson.
Quarterly Journal of Economics (2006)
SHROUDED ATTRIBUTES, CONSUMER MYOPIA, AND INFORMATION SUPPRESSION IN COMPETITIVE MARKETS
Xavier Gabaix;David I. Laibson.
Quarterly Journal of Economics (2006)
The Granular Origins of Aggregate Fluctuations
Xavier Gabaix.
Econometrica (2011)
The Granular Origins of Aggregate Fluctuations
Xavier Gabaix.
Econometrica (2011)
A theory of power-law distributions in financial market fluctuations
Xavier Gabaix;Parameswaran Gopikrishnan;Parameswaran Gopikrishnan;Vasiliki Plerou;H. Eugene Stanley.
Nature (2003)
A theory of power-law distributions in financial market fluctuations
Xavier Gabaix;Parameswaran Gopikrishnan;Parameswaran Gopikrishnan;Vasiliki Plerou;H. Eugene Stanley.
Nature (2003)
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