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Using involvement to reduce inconsistencies in risk preference elicitation

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  • Meraner, Manuela
  • Musshoff, Oliver
  • Finger, Robert

Abstract

Empirical research aiming to elicit risk attitudes faces problems of within- and between-method inconsistencies, which reduce the explanatory and predictive power of risk research. In this paper, we investigate the relevance of context and task involvement on these inconsistencies. Our analysis is based on a sample of 244 German agricultural sciences students, which were performing an iterative multiple price list (iMPL) and a simple self-assessment question on risk preferences. We find that using a real life and subject context specific (here, agricultural) framing of the iMPL is leading to fewer within- and between-method inconsistencies. This is due to the fact that contextual framing has an increasing effect on task involvement (proxied with the time spent in the iMPL). Additionally, we find that contextual framing triggers the role of subjects’ context involvement (proxied using an indicator for students’ involvement in the agricultural domain). More specifically, both higher task and context involvement are found to decrease within-method inconsistency in the iMPL task. While also between-method inconsistency is decreasing in subjects’ task involvement, we found no effect of context involvement. In conclusion, our results suggest that by framing a risk elicitation method according to the subjects’ specific context, involvement can be triggered and inconsistencies and misspecifications can be reduced.

Suggested Citation

  • Meraner, Manuela & Musshoff, Oliver & Finger, Robert, 2018. "Using involvement to reduce inconsistencies in risk preference elicitation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 73(C), pages 22-33.
  • Handle: RePEc:eee:soceco:v:73:y:2018:i:c:p:22-33
    DOI: 10.1016/j.socec.2018.01.001
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    2. Felix Holzmeister & Matthias Stefan, 2019. "The risk elicitation puzzle revisited: Across-methods (in)consistency?," Working Papers 2019-19, Faculty of Economics and Statistics, Universität Innsbruck.
    3. Robert Finger & David Wüpper & Chloe McCallum, 2023. "The (in)stability of farmer risk preferences," Journal of Agricultural Economics, Wiley Blackwell, vol. 74(1), pages 155-167, February.
    4. Champ, Patricia A. & Meldrum, James R. & Brenkert-Smith, Hannah & Warziniack, Travis W. & Barth, Christopher M. & Falk, Lilia C. & Gomez, Jamie B., 2020. "Do actions speak louder than words? Comparing the effect of risk aversion on objective and self-reported mitigation measures," Journal of Economic Behavior & Organization, Elsevier, vol. 169(C), pages 301-313.
    5. Estepa-Mohedano, Lorenzo & Espinosa, María Paz, 2023. "Comparing risk elicitation in lotteries with visual or contextual aids," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 103(C).
    6. Holzmeister, Felix & Stefan, Matthias, 2019. "The Risk Elicitation Puzzle Revisited: Across-Methods (In)consistency?," OSF Preprints pj9u2, Center for Open Science.
    7. Estepa-Mohedano, Lorenzo & Espinosa, Maria Paz, 2021. "Comparing risk elicitation in lotteries with visual or contextual framing aids," MPRA Paper 108440, University Library of Munich, Germany.
    8. Jens Rommel & Julian Sagebiel & Marieke Cornelia Baaken & Jesús Barreiro‐Hurlé & Douadia Bougherara & Luigi Cembalo & Marija Cerjak & Tajana Čop & Mikołaj Czajkowski & María Espinosa‐Goded & Julia Höh, 2023. "Farmers' risk preferences in 11 European farming systems: A multi‐country replication of Bocquého et al. ()," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 45(3), pages 1374-1399, September.
    9. Felix Holzmeister & Matthias Stefan, 2021. "The risk elicitation puzzle revisited: Across-methods (in)consistency?," Experimental Economics, Springer;Economic Science Association, vol. 24(2), pages 593-616, June.
    10. Simone Cerroni, 2020. "Eliciting farmers’ subjective probabilities, risk, and uncertainty preferences using contextualized field experiments," Agricultural Economics, International Association of Agricultural Economists, vol. 51(5), pages 707-724, September.
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    More about this item

    Keywords

    Between- and within-method inconsistencies; Risk preference elicitation; Involvement;
    All these keywords.

    JEL classification:

    • 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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