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Joint Estimation of Risk Preferences and Technology: Flexible Utility or Futility?

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  • Sergio H. Lence

Abstract

A thought experiment is designed to investigate whether the structure of risk aversion (i.e., the changes in absolute or relative risk aversion associated with changes in wealth) can be estimated with reasonable precision from agricultural production data. Findings strongly suggest that typical production data are unlikely to allow identification of the structure of risk aversion. A flexible-utility parameterization is found to slightly worsen technology parameter estimates. Results also indicate that even under a restricted-utility specification, utility parameter estimates are biased. Further, their quality is much worse when shocks are not large or samples are small. Copyright 2007, Oxford University Press.

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  • Sergio H. Lence, 2007. "Joint Estimation of Risk Preferences and Technology: Flexible Utility or Futility?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(3), pages 581-598.
  • Handle: RePEc:oup:ajagec:v:91:y:2007:i:3:p:581-598
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    File URL: http://hdl.handle.net/10.1111/j.1467-8276.2009.01274.x
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    Cited by:

    1. Sébastien Foudi, 2012. "Exploitation of soil biota ecosystem services in agriculture: a bioeconomic approach," Working Papers 2012-02, BC3.
    2. Moser, Stefan & Mußhoff, Oliver, 2015. "Comparing the use of risk-influencing production inputs and experimentally measured risk attitude: Do decisions of Indonesian small-scale rubber farmers match?," EFForTS Discussion Paper Series 14, University of Goettingen, Collaborative Research Centre 990 "EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)".
    3. Viaggi, Davide & Raggi, Meri & Gomez y Paloma, Sergio, 2011. "Farm-household investment behaviour and the CAP decoupling: Methodological issues in assessing policy impacts," Journal of Policy Modeling, Elsevier, vol. 33(1), pages 127-145, January.
    4. Antti Saastamoinen, 2015. "Heteroscedasticity Or Production Risk? A Synthetic View," Journal of Economic Surveys, Wiley Blackwell, vol. 29(3), pages 459-478, July.
    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. Cao, Ruixuan & Carpentier, Alain & Gohin, Alexandre, 2011. "Measuring farmers’ risk aversion: the unknown properties of the value function," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114623, European Association of Agricultural Economists.
    8. Skevas, Theodoros & Stefanou, Spiro E. & Oude Lansink, Alfons, 2014. "Pesticide use, environmental spillovers and efficiency: A DEA risk-adjusted efficiency approach applied to Dutch arable farming," European Journal of Operational Research, Elsevier, vol. 237(2), pages 658-664.
    9. Awondo, Sebastain Nde & Fonsah, Esendugue Greg & Riley, David G., 2012. "Are Tomato-Spotted Wilt Virus Management Tactics Good Enough?," 2012 Annual Meeting, February 4-7, 2012, Birmingham, Alabama 119790, Southern Agricultural Economics Association.
    10. Carpentier, Alain & Gohin, Alexandre & Sckokai, Paolo & Thomas, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Revue d'Etudes en Agriculture et Environnement, Editions NecPlus, vol. 96(01), pages 131-165, March.
    11. Moro, Daniele & Sckokai, Paolo, 2013. "The impact of decoupled payments on farm choices: Conceptual and methodological challenges," Food Policy, Elsevier, vol. 41(C), pages 28-38.
    12. Howard, Gregory E. & Roe, Brian E., 2011. "Comparing the Risk Attitudes of U.S. and German Farmers," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 114528, European Association of Agricultural Economists.
    13. Alain Carpentier & Alexandre Gohin, 2015. "On the economic theory of crop rotations: value of the crop rotation effects and implications on acreage choice modeling," Working Papers SMART - LERECO 15-04, INRA UMR SMART-LERECO.
    14. Guan, Zhengfei & Wu, Feng, 2014. "Non-Optimal Behavior and Estimation of Risk Preferences," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170636, Agricultural and Applied Economics Association.

    More about this item

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • D20 - Microeconomics - - Production and Organizations - - - General
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General

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