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Estimating risky behavior with multiple-item risk measures

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  • Menkhoff, Lukas
  • Sakha, Sahra

Abstract

We compare seven established risk elicitation methods and investigate how robustly they explain eleven kinds of risky behavior with 760 individuals. Risk measures are positively correlated; however, their performance in explaining behavior is heterogeneous and, therefore, difficult to assess ex ante. Greater diversification across risk measures is conducive to closing this knowledge gap. What we find is that performance increases considerably if we combine single-item risk measures to form multiple-item risk measures. Results are improved the more single-item measures they contain, and also if these single-item risk measures use different elicitation methods. Interestingly, survey items perform just as well as incentivized experimental items in explaining risky behavior.

Suggested Citation

  • Menkhoff, Lukas & Sakha, Sahra, 2017. "Estimating risky behavior with multiple-item risk measures," Journal of Economic Psychology, Elsevier, vol. 59(C), pages 59-86.
  • Handle: RePEc:eee:joepsy:v:59:y:2017:i:c:p:59-86
    DOI: 10.1016/j.joep.2017.02.005
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    Cited by:

    1. Crosetto, P. & Filippin, A., 2017. "Safe options induce gender differences in risk attitudes," Working Papers 2017-05, Grenoble Applied Economics Laboratory (GAEL).
    2. repec:eee:jeborg:v:148:y:2018:i:c:p:226-240 is not listed on IDEAS
    3. Alserda, G.A.G., 2017. "Measuring Normative Risk Preferences," ERIM Report Series Research in Management ERS-2017-003-F&A, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

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    Keywords

    Risk; Experiments; Household survey; Testing methods; Contexts;

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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