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Empirical Challenges for Risk Preferences and Production

Author

Listed:
  • David R. Just
  • Sivalai V. Khantachavana
  • Richard E. Just

    (Department of Applied Economics and Management, Cornell University, Ithaca, New York 14853
    Department of Agricultural and Resource Economics, University of Maryland, College Park, Maryland 20742)

Abstract

The importance of risk preferences in agricultural production has long been identified as an important and preeminent issue of policy relevance. Recent developments in the study of production risk have called into question much of the core of risk production research. This article provides an overview of the prominent literature attempting to quantify the impact of risk preferences on production and a discussion of the recently discovered challenges. These challenges are typified by (a) an inability to discern risk preferences, (b) an inability to discern the factors that relate to risk preferences, (c) evidence that prior estimation has severe problems, and (d) a general failure of current models to address the important policy or behavioral issues. Although some of these challenges may appear at first blush to be insurmountable, we suggest a new agenda for risk research in production that directly addresses each of these issues.

Suggested Citation

  • David R. Just & Sivalai V. Khantachavana & Richard E. Just, 2010. "Empirical Challenges for Risk Preferences and Production," Annual Review of Resource Economics, Annual Reviews, vol. 2(1), pages 13-31, October.
  • Handle: RePEc:anr:reseco:v:2:y:2010:p:13-31
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    File URL: http://www.annualreviews.org/doi/abs/10.1146/annurev.resource.012809.103902
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    Citations

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    Cited by:

    1. Sandra Hoffmann, 2011. "Overcoming Barriers to Integrating Economic Analysis into Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 31(9), pages 1345-1355, September.
    2. Hurley, Terrance M., 2016. "Slutsky, Let Me Introduce You to Arrow-Pratt: Competitive Price Effects with Uncertain Production," Staff Papers 250204, University of Minnesota, Department of Applied Economics.
    3. Douadia Bougherara & Laurent Piet, 2018. "On the role of probability weighting on WTP for crop insurance with and without yield skewness," Working Papers hal-02790605, HAL.
    4. Franken, Jason R.V. & Pennings, Joost M.E. & Garcia, Philip, 2012. "Measuring Risk Attitude and Relation to Marketing Behavior," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124471, Agricultural and Applied Economics Association.
    5. Xavier Vollenweider & Salvatore Di Falco & Cathal O�Donoghue, 2011. "Risk preferences and voluntary agrienvironmental schemes: does risk aversion explain the uptake of the Rural Environment Protection Scheme?," GRI Working Papers 48, Grantham Research Institute on Climate Change and the Environment.
    6. Wu, Feng & Guan, Zhengfei, 2014. "Efficient Estimation of Risk Attitude with Seminonparametric Risk Modeling," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170625, Agricultural and Applied Economics Association.
    7. Luisa Menapace & Gregory Colson & Roberta Raffaelli, 2016. "A comparison of hypothetical risk attitude elicitation instruments for explaining farmer crop insurance purchases," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 43(1), pages 113-135.
    8. Jason R.V. Franken & Joost M.E. Pennings & Philip Garcia, 2014. "Measuring the effect of risk attitude on marketing behavior," Agricultural Economics, International Association of Agricultural Economists, vol. 45(5), pages 525-535, September.
    9. Jaap Sok & Joao Rossi Borges & Peter Schmidt & Icek Ajzen, 2021. "Farmer Behaviour as Reasoned Action: A Critical Review of Research with the Theory of Planned Behaviour," Journal of Agricultural Economics, Wiley Blackwell, vol. 72(2), pages 388-412, June.

    More about this item

    Keywords

    estimation; price risk; production risk;
    All these keywords.

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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