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On a Simple Survey Measure of Individual Risk Aversion

Author

Listed:
  • Joop Hartog

    (University of Amsterdam)

  • Ada Ferrer-i-Carbonell

    (University of Amsterdam)

  • Nicole Jonker

    (University of Amsterdam)

Abstract

We ask individuals for their reservation price of a specified lotteryand deduce their Arrow-Pratt measure of risk aversion.This allows direct testing of common hypotheses on risk attitudes inthree datasets. We find that risk aversion indeed fallswith income and wealth. Entrepreneurs are less risk averse thanemployees, civil servants are more risk averse thanprivate sector employees, and women are more risk averse than men. Weanalyze six different specifications of the lotteryquestion in a single data set and find quite consistent results. Weconclude that a simple lottery question is a promisingsurvey instrument to extract differences in risk attitudes amongindividuals.

Suggested Citation

  • Joop Hartog & Ada Ferrer-i-Carbonell & Nicole Jonker, 2000. "On a Simple Survey Measure of Individual Risk Aversion," Tinbergen Institute Discussion Papers 00-074/3, Tinbergen Institute.
  • Handle: RePEc:tin:wpaper:20000074
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    Cited by:

    1. Roger Hartley & Gauthier Lanot & Ian Walker, 2014. "Who Really Wants To Be A Millionaire? Estimates Of Risk Aversion From Gameshow Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(6), pages 861-879, September.
    2. André De Palma & Nathalie Picard, 2005. "Congestion on risky routes with risk adverse drivers," ERSA conference papers ersa05p423, European Regional Science Association.
    3. Allan M. Williams & Vladimír Baláž, 2014. "Mobility, risk tolerance and competence to manage risks," Journal of Risk Research, Taylor & Francis Journals, vol. 17(8), pages 1061-1088, September.
    4. Nielsen, Jytte Seested & Bech, Mickael & Christensen, Kaare & Kiil, Astrid & Hvidt, Niels Christian, 2017. "Risk aversion and religious behaviour: Analysis using a sample of Danish twins," Economics & Human Biology, Elsevier, vol. 26(C), pages 21-29.
    5. de Palma, André & Picard, Nathalie, 2005. "Route choice decision under travel time uncertainty," Transportation Research Part A: Policy and Practice, Elsevier, vol. 39(4), pages 295-324, May.
    6. Anderson, Lisa R. & Mellor, Jennifer M., 2008. "Predicting health behaviors with an experimental measure of risk preference," Journal of Health Economics, Elsevier, vol. 27(5), pages 1260-1274, September.
    7. Eisenhauer, Joseph G., 2010. "Rank-ordering of risk preferences with conventional and discrete measures," The Quarterly Review of Economics and Finance, Elsevier, vol. 50(3), pages 291-297, August.
    8. André de Palma & Nathalie Picard, 2006. "Route Choice Behaviour with Risk-Averse Users," Chapters, in: Aura Reggiani & Peter Nijkamp (ed.), Spatial Dynamics, Networks and Modelling, chapter 7, Edward Elgar Publishing.
    9. Mattijs Lambooij & Andreas Flache & Jacques Siegers, 2009. "Shadow of the Future, Risk Aversion, and Employee Cooperation," Rationality and Society, , vol. 21(3), pages 307-336, August.

    More about this item

    JEL classification:

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

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