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Multiple-item risk measures

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  • Menkhoff, Lukas
  • Sakha, Sahra

Abstract

We compare seven established risk elicitation methods and investigate how they explain an extensive set of risky behavior from a large household survey. We find overall positive correlation between items and low explanatory power in terms of behavior. Using an average of seven risk elicitation methods reduces measurement noise and yields more predictive power. A reduced set of risk items yields the same external validity as the average of all seven methods. Hence, our multiple-item risk measures offer a more reliable way to measure risk preferences. Our results caution against the reliability of one risk method alone due to noise.

Suggested Citation

  • Menkhoff, Lukas & Sakha, Sahra, 2014. "Multiple-item risk measures," Kiel Working Papers 1980, Kiel Institute for the World Economy (IfW).
  • Handle: RePEc:zbw:ifwkwp:1980
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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. 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.

    More about this item

    Keywords

    risk attitude; lab-in-the-field experiments; household survey; economic development;

    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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