IDEAS home Printed from https://ideas.repec.org/a/eee/agisys/v103y2010i6p345-350.html
   My bibliography  Save this article

Probabilities for decision analysis in agriculture and rural resource economics: The need for a paradigm change

Author

Listed:
  • Hardaker, J. Brian
  • Lien, Gudbrand

Abstract

The notion that we can rationalize risky choice in terms of expected utility appears to be widely if not universally accepted in the agricultural and resource economics profession. While there have been many attempts to assess the risk preferences of farmers, there are few studies of their beliefs about uncertain events encoded as probabilities. We may attribute this neglect to scepticism in the profession about the concept of subjective probability. The general unwillingness to embrace this theory and its associated methods has all too often caused researchers to focus on problems for which frequency data are available, rather than on problems that are more important where data are generally sparse or lacking. In response, we provide a brief reminder of the merits of the subjectivist approach and extract some priorities for future research should there be a change of heart among at least some of the profession.

Suggested Citation

  • Hardaker, J. Brian & Lien, Gudbrand, 2010. "Probabilities for decision analysis in agriculture and rural resource economics: The need for a paradigm change," Agricultural Systems, Elsevier, vol. 103(6), pages 345-350, July.
  • Handle: RePEc:eee:agisys:v:103:y:2010:i:6:p:345-350
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0308-521X(10)00002-8
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Alfons Oude Lansink, 1999. "Area Allocation Under Price Uncertainty on Dutch Arable Farms," Journal of Agricultural Economics, Wiley Blackwell, vol. 50(1), pages 93-105, January.
    2. Roberts, Roland K. & English, Burton C. & Gao, Qi & Larson, James A., 2006. "Simultaneous Adoption of Herbicide-Resistant and Conservation-Tillage Cotton Technologies," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 38(3), pages 629-643, December.
    3. Rulon D. Pope, 2003. "Agricultural Risk Analysis: Adequacy of Models, Data, and Issues," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 85(5), pages 1249-1256.
    4. James E. Matheson & Robert L. Winkler, 1976. "Scoring Rules for Continuous Probability Distributions," Management Science, INFORMS, vol. 22(10), pages 1087-1096, June.
    5. Marra, Michele & Pannell, David J. & Abadi Ghadim, Amir, 2003. "The economics of risk, uncertainty and learning in the adoption of new agricultural technologies: where are we on the learning curve?," Agricultural Systems, Elsevier, vol. 75(2-3), pages 215-234.
    6. Just, Richard E., 2003. "Risk research in agricultural economics: opportunities and challenges for the next twenty-five years," Agricultural Systems, Elsevier, vol. 75(2-3), pages 123-159.
    7. Lindner, Robert K. & Gibbs, Melissa, 1990. "A Test Of Bayesian Learning From Farmer Trials Of New Wheat Varieties," Australian Journal of Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 34(1), pages 1-18, April.
    8. C. J. O'Donnell & W. E. Griffiths, 2006. "Estimating State-Contingent Production Frontiers," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 88(1), pages 249-266.
    9. Joshua D. Woodard & Philip Garcia, 2008. "Basis risk and weather hedging effectiveness," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 68(1), pages 99-117, May.
    10. Patrick, George F. & Peiter, Amy J. & Knight, Thomas O. & Coble, Keith H. & Baquet, Alan E., 2007. "Hog Producers' Risk Management Attitudes and Desire for Additional Risk Management Education," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 39(3), pages 671-687, December.
    11. Salvatore Di Falco & Jean-Paul Chavas, 2006. "Crop genetic diversity, farm productivity and the management of environmental risk in rainfed agriculture," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 33(3), pages 289-314, September.
    12. Jean-Paul Chavas, 2008. "On the economics of agricultural production ," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 52(4), pages 365-380, December.
    13. Musshoff, Oliver & Hirschauer, Norbert, 2007. "What benefits are to be derived from improved farm program planning approaches? - The role of time series models and stochastic optimization," Agricultural Systems, Elsevier, vol. 95(1-3), pages 11-27, December.
    14. Jean-Paul Chavas, 2008. "A Cost Approach to Economic Analysis Under State-Contingent Production Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(2), pages 435-466.
    15. Matthew Rabin & Richard H. Thaler, 2013. "Anomalies: Risk aversion," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 27, pages 467-480, World Scientific Publishing Co. Pte. Ltd..
    16. Hardaker, J. Brian & Lien, Gudbrand D., 2005. "Towards some principles of good practice for decision analysis in agriculture," 2005 Conference (49th), February 9-11, 2005, Coff's Harbour, Australia 137925, Australian Agricultural and Resource Economics Society.
    17. Richard E. Just & Rulon D. Pope, 1979. "Production Function Estimation and Related Risk Considerations," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(2), pages 276-284.
    18. Subal C. Kumbhakar, 2002. "Specification and Estimation of Production Risk, Risk Preferences and Technical Efficiency," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(1), pages 8-22.
    19. Hansen, J. W. & Jones, J. W., 2000. "Scaling-up crop models for climate variability applications," Agricultural Systems, Elsevier, vol. 65(1), pages 43-72, July.
    20. Olivier Mahul, 2001. "Optimal Insurance Against Climatic Experience," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 593-604.
    21. Lien, Gudbrand D. & Hardaker, J. Brian & Richardson, James W., 2006. "Simulating Multivariate Distributions with Sparse Data: A Kernal Density Smoothing Procedure," 2006 Annual Meeting, August 12-18, 2006, Queensland, Australia 25449, International Association of Agricultural Economists.
    22. Sergio H. Lence, 2000. "Using Consumption and Asset Return Data to Estimate Farmers' Time Preferences and Risk Attitudes," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(4), pages 934-947.
    23. Chambers,Robert G. & Quiggin,John, 2000. "Uncertainty, Production, Choice, and Agency," Cambridge Books, Cambridge University Press, number 9780521785235.
    24. Zellner, Arnold, 2007. "Philosophy and objectives of econometrics," Journal of Econometrics, Elsevier, vol. 136(2), pages 331-339, February.
    25. Robert K. Lindner & Melissa Gibbs, 1990. "A Test Of Bayesian Learning From Farmer Trials Of New Wheat Varieties," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 34(1), pages 21-38, April.
    26. Olivier Mahul, 2001. "Optimal insurance against climatic experience," Post-Print hal-01952102, HAL.
    27. Norris, Patricia E. & Kramer, Randall A., 1990. "The Elicitation of Subjective Probabilities with Applications in Agricultural Economics," Review of Marketing and Agricultural Economics, Australian Agricultural and Resource Economics Society, vol. 58(02-03), pages 1-21, December.
    28. Anderson, Jock R. & Dillon, John L. & Hardaker, Brian, 1977. "Agricultural Decision Analysis," Monographs: Applied Economics, AgEcon Search, number 288652, July.
    29. Lence, Sergio H., 2000. "Using Consumption and Asset Return Data to Estimate Farmersï¾’ Time Preferences and Risk Attitudes," Staff General Research Papers Archive 1930, Iowa State University, Department of Economics.
    30. Lien, Gudbrand, 2002. "Non-parametric estimation of decision makers' risk aversion," Agricultural Economics, Blackwell, vol. 27(1), pages 75-83, May.
    31. Gudbrand Lien & Ola Flaten & Anne Moxnes Jervell & Martha Ebbesvik & Matthias Koesling & Paul Steinar Valle, 2006. "Management and Risk Characteristics of Part-Time and Full-Time Farmers in Norway," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(1), pages 111-131.
    32. Gudbrand Lien & Ola Flaten & Anne Moxnes Jervell & Martha Ebbesvik & Matthias Koesling & Paul Steinar Valle, 2006. "Management and Risk Characteristics of Part-Time and Full-Time Farmers in Norway," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 28(1), pages 111-131.
    33. Greiner, Romy & Patterson, Louisa & Miller, Owen, 2009. "Motivations, risk perceptions and adoption of conservation practices by farmers," Agricultural Systems, Elsevier, vol. 99(2-3), pages 86-104, February.
    34. Subal Kumbhakar & Efthymios Tsionas, 2010. "Estimation of production risk and risk preference function: a nonparametric approach," Annals of Operations Research, Springer, vol. 176(1), pages 369-378, April.
    35. Rulon D. Pope & Richard E. Just, 1991. "On Testing the Structure of Risk Preferences in Agricultural Supply Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 743-748.
    36. Bruce A. McCarl & Xavier Villavicencio & Ximing Wu, 2008. "Climate Change and Future Analysis: Is Stationarity Dying?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(5), pages 1241-1247.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ragnar Tveteras & Ola Flaten & Gudbrand Lien, 2011. "Production risk in multi-output industries: estimates from Norwegian dairy farms," Applied Economics, Taylor & Francis Journals, vol. 43(28), pages 4403-4414.
    2. Vollenweider, Xavier & Di Falco, Salvatore & O’Donoghue, Cathal, 2011. "Risk preferences and voluntary agri-environmental schemes: does risk aversion explain the uptake of the Rural Environment Protection Scheme?," LSE Research Online Documents on Economics 37585, London School of Economics and Political Science, LSE Library.
    3. Heidelbach, Olaf, 2007. "Efficiency of selected risk management instruments: An empirical analysis of risk reduction in Kazakhstani crop production," Studies on the Agricultural and Food Sector in Transition Economies, Leibniz Institute of Agricultural Development in Transition Economies (IAMO), volume 40, number 92323.
    4. Shankar, Sriram, 2012. "Production economics in the presence of risk," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 56(4), pages 1-24, December.
    5. Orea, Luis, 2019. "The Econometric Measurement of Firms’ Efficiency," Efficiency Series Papers 2019/02, University of Oviedo, Department of Economics, Oviedo Efficiency Group (OEG).
    6. Céline Nauges & Christopher J. O'Donnell & John Quiggin, 2011. "Uncertainty and technical efficiency in Finnish agriculture: a state-contingent approach," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 38(4), pages 449-467, October.
    7. Theodoros Skevas & Teresa Serra, 2016. "The role of pest pressure in technical and environmental inefficiency analysis of Dutch arable farms: an event-specific data envelopment approach," Journal of Productivity Analysis, Springer, vol. 46(2), pages 139-153, December.
    8. Adamson, David, 2010. "Climate change, Irrigation and Pests: Examining Heliothis in the Murray Darling Basin," Risk and Sustainable Management Group Working Papers 149879, University of Queensland, School of Economics.
    9. Hardaker, J. Brian & Lien, Gudbrand D., 2009. "What Next in Decision Analysis for Agricultural and Resource Economics?," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 48160, Australian Agricultural and Resource Economics Society.
    10. Jean‐Paul Chavas & Céline Nauges, 2020. "Uncertainty, Learning, and Technology Adoption in Agriculture," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 42-53, March.
    11. Robert Chambers & Teresa Serra & Spiro Stefanou, 2015. "Using ex ante output elicitation to model state-contingent technologies," Journal of Productivity Analysis, Springer, vol. 43(1), pages 75-83, February.
    12. CARPENTIER, Alain & GOHIN, Alexandre & SCKOKAI, Paolo & THOMAS, Alban, 2015. "Economic modelling of agricultural production: past advances and new challenges," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement (RAEStud), Institut National de la Recherche Agronomique (INRA), vol. 96(1), March.
    13. Sriram Shankar & John Quiggin, 2013. "Production under uncertainty: a simulation study," Journal of Productivity Analysis, Springer, vol. 39(3), pages 207-215, June.
    14. Huettel, Silke & Narayana, Rashmi & Odening, Martin, 2011. "Measuring dynamic efficiency under uncertainty," Structural Change in Agriculture/Strukturwandel im Agrarsektor (SiAg) Working Papers 129062, Humboldt University Berlin, Department of Agricultural Economics.
    15. Ashok K. Mishra & Mike G. Tsionas, 2020. "A Minimax Regret Approach to Decision Making Under Uncertainty," Journal of Agricultural Economics, Wiley Blackwell, vol. 71(3), pages 698-718, September.
    16. Komarek, Adam M. & De Pinto, Alessandro & Smith, Vincent H., 2020. "A review of types of risks in agriculture: What we know and what we need to know," Agricultural Systems, Elsevier, vol. 178(C).
    17. Serra, Teresa & Chambers, Robert G. & Oude Lansink, Alfons, 2014. "Measuring technical and environmental efficiency in a state-contingent technology," European Journal of Operational Research, Elsevier, vol. 236(2), pages 706-717.
    18. Jeffrey LaFrance & Rulon Pope & Jesse Tack, 2011. "Risk Response in Agriculture," NBER Chapters, in: The Intended and Unintended Effects of US Agricultural and Biotechnology Policies, pages 143-186, National Bureau of Economic Research, Inc.
    19. Canales, Elizabeth & Bergtold, Jason S. & Williams, Jeffery & Peterson, Jeffrey, 2015. "Estimating farmers’ risk attitudes and risk premiums for the adoption of conservation practices under different contractual arrangements: A stated choice experiment," 2015 AAEA & WAEA Joint Annual Meeting, July 26-28, San Francisco, California 205640, Agricultural and Applied Economics Association.
    20. Crean, Jason & Parton, Kevin & Mullen, John & Jones, Randall, 2013. "Representing climatic uncertainty in agricultural models – an application of state-contingent theory," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(3).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agisys:v:103:y:2010:i:6:p:345-350. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agsy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.