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A reconsideration of gender differences in risk attitudes

Author

Listed:
  • 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, 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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    2. Paolo Crosetto & Antonio Filippin & Janna Heider, 2015. "A Study of Outcome Reporting Bias Using Gender Differences in Risk Attitudes," CESifo Economic Studies, CESifo Group, vol. 61(1), pages 239-262.
    3. Paolo Crosetto & Antonio Filippin, 2016. "A theoretical and experimental appraisal of four risk elicitation methods," Experimental Economics, Springer;Economic Science Association, vol. 19(3), pages 613-641, September.
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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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