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A reconsideration of gender differences in risk attitudes

Author

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  • Antonio Filippin

    (UNIMI - Università degli Studi di Milano = University of Milan, Institute for the Study of Labor (IZA) Bonn - Institute for the Study of Labor (IZA) Bonn)

  • Paolo Crosetto

    (GAEL - Laboratoire d'Economie Appliquée = Grenoble Applied Economics Laboratory - UPMF - Université Pierre Mendès France - Grenoble 2 - INRA - Institut National de la Recherche Agronomique - CNRS - Centre National de la Recherche Scientifique, INRA - Institut National de la Recherche Agronomique)

Abstract

This paper reconsiders the wide agreement that females are more risk averse than males providing a leap forward in its understanding. Thoroughly surveying the experimental literature we first find that gender differences are less ubiquitous than usually depicted. Gathering the microdata of an even larger sample of Holt and Laury replications we boost the statistical power of the test and show that the magnitude of gender differences, although significant, is economically unimportant. We conclude that gender differences systematically correlate with the features of the elicitation method used and in particular the availability of a safe option and fixed probabilities.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Antonio Filippin & Paolo Crosetto, 2014. "A reconsideration of gender differences in risk attitudes," Post-Print hal-01997771, HAL.
  • Handle: RePEc:hal:journl:hal-01997771
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    5. Muriel Niederle, 2014. "Gender," NBER Working Papers 20788, National Bureau of Economic Research, Inc.
    6. Paolo Crosetto & Antonio Filippin, 2013. "A Theoretical and Experimental Appraisal of Five Risk Elicitation Methods," SOEPpapers on Multidisciplinary Panel Data Research 547, DIW Berlin, The German Socio-Economic Panel (SOEP).
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    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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