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Assessing small-scale raspberry producers’ risk and ambiguity preferences: evidence from field- experiment data in rural Chile

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  • Cárcamo, Jorge
  • von Cramon-Taubadel, Stephan

Abstract

Most researchers who analyze producers’ preferences under uncertainty report that producers are averse towards risk and ambiguity scenarios. This aversion has an influence on producers’ decision-making processes; hence the relevance of determining and analyzing these preferences as a key factor to design agricultural policies that help producers to cope with production uncertainty. In this study we elicit small- scale raspberry producers’ preferences through field experiments in rural Maule (Chile). In addition, we identify producers’ socioeconomic and farm characteristics that influence these preferences. Finally, we compare the two standard methods in the current literature to estimate producers’ risk preferences from field experiments, and analyze if the estimation method influences these preferences. Our results show an asymmetry in producers’ risk preferences; producers are twice as sensitive to losses as to gains. Additionally, we find that producers get smaller lottery utilities in scenarios where ambiguity is present, which implies ambiguity aversion. We also show that the method used to estimate risk preferences can influence the results, with obvious implications for policy design.

Suggested Citation

  • Cárcamo, Jorge & von Cramon-Taubadel, Stephan, 2016. "Assessing small-scale raspberry producers’ risk and ambiguity preferences: evidence from field- experiment data in rural Chile," Department of Agricultural and Rural Development (DARE) Discussion Papers 260774, Georg-August-Universitaet Goettingen, Department of Agricultural Economics and Rural Development (DARE).
  • Handle: RePEc:ags:gadadp:260774
    DOI: 10.22004/ag.econ.260774
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    as
    1. Craig McIntosh & Felix Povel & Elisabeth Sadoulet, 2019. "Utility, Risk and Demand for Incomplete Insurance: Lab Experiments with Guatemalan Co-Operatives," The Economic Journal, Royal Economic Society, vol. 129(622), pages 2581-2607.
    2. Galarza, Francisco, 2009. "Choices under Risk in Rural Peru," MPRA Paper 17708, University Library of Munich, Germany.
    3. Steffen Andersen & John Fountain & Glenn Harrison & E. Rutström, 2014. "Estimating subjective probabilities," Journal of Risk and Uncertainty, Springer, vol. 48(3), pages 207-229, June.
    4. Elabed, Ghada & Carter, Michael R., 2015. "Compound-risk aversion, ambiguity and the willingness to pay for microinsurance," Journal of Economic Behavior & Organization, Elsevier, vol. 118(C), pages 150-166.
    5. Ihli, Hanna Julia & Musshoff, Oliver, 2013. "Understanding the Investment Behavior of Ugandan Smallholder Farmers: An Experimental Analysis," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150331, Agricultural and Applied Economics Association.
    6. repec:feb:artefa:0092 is not listed on IDEAS
    7. Quang Nguyen & Colin Camerer & Tomomi Tanaka, 2010. "Risk and Time Preferences Linking Experimental and Household Data from Vietnam," Post-Print halshs-00547090, HAL.
    8. Steffen Andersen & Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2008. "Eliciting Risk and Time Preferences," Econometrica, Econometric Society, vol. 76(3), pages 583-618, May.
    9. Elaine Meichen Liu, 2008. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," Working Papers 1064, Princeton University, Department of Economics, Industrial Relations Section..
    10. Géraldine Bocquého & Florence Jacquet & Arnaud Reynaud, 2014. "Expected utility or prospect theory maximisers? Assessing farmers' risk behaviour from field-experiment data," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 41(1), pages 135-172, February.
    11. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
    12. Alpizar, Francisco & Carlsson, Fredrik & Naranjo, Maria A., 2011. "The effect of ambiguous risk, and coordination on farmers' adaptation to climate change — A framed field experiment," Ecological Economics, Elsevier, vol. 70(12), pages 2317-2326.
    13. Cardenas, Juan Camilo & Carpenter, Jeffrey, 2013. "Risk attitudes and economic well-being in Latin America," Journal of Development Economics, Elsevier, vol. 103(C), pages 52-61.
    14. Tesfamicheal Wossen & Thomas Berger & Salvatore Di Falco, 2015. "Social capital, risk preference and adoption of improved farm land management practices in Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 46(1), pages 81-97, January.
    15. Elaine M. Liu, 2013. "Time to Change What to Sow: Risk Preferences and Technology Adoption Decisions of Cotton Farmers in China," The Review of Economics and Statistics, MIT Press, vol. 95(4), pages 1386-1403, October.
    16. Galarza, Francisco B. & Carter, Michael R., 2010. "Risk Preferences and Demand for Insurance in Peru: A Field Experiment," 2010 Annual Meeting, July 25-27, 2010, Denver, Colorado 61871, Agricultural and Applied Economics Association.
    17. Patrick S. Ward & Vartika Singh, 2015. "Using Field Experiments to Elicit Risk and Ambiguity Preferences: Behavioural Factors and the Adoption of New Agricultural Technologies in Rural India," Journal of Development Studies, Taylor & Francis Journals, vol. 51(6), pages 707-724, June.
    18. Quang Nguyen, 2011. "Does nurture matter: Theory and experimental investigation on the effect of working environment on risk and time preferences," Journal of Risk and Uncertainty, Springer, vol. 43(3), pages 245-270, December.
    19. Johansson-Stenman, Olof, 2008. "Mad cows, terrorism and junk food: Should public policy reflect perceived or objective risks?," Journal of Health Economics, Elsevier, vol. 27(2), pages 234-248, March.
    20. Andersen, Steffen & Harrison, Glenn W. & Lau, Morten Igel & Rutström, E. Elisabet, 2010. "Preference heterogeneity in experiments: Comparing the field and laboratory," Journal of Economic Behavior & Organization, Elsevier, vol. 73(2), pages 209-224, February.
    21. Engle Warnick James C. & Escobal Javier & Laszlo Sonia C., 2011. "Ambiguity Aversion and Portfolio Choice in Small-Scale Peruvian Farming," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 11(1), pages 1-56, November.
    22. Ahmed Mushfiq Mobarak & Mark R. Rosenzweig, 2013. "Informal Risk Sharing, Index Insurance, and Risk Taking in Developing Countries," American Economic Review, American Economic Association, vol. 103(3), pages 375-380, May.
    23. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    24. Jara-Rojas, Roberto & Bravo-Ureta, Boris & Solis, Daniel & Martinez, Daniela, 2016. "Production efficiency and commercialization channels among small-scale farmers: Evidence for raspberry production in Central Chile," 2016 Annual Meeting, February 6-9, 2016, San Antonio, Texas 229330, Southern Agricultural Economics Association.
    25. Steffen Andersen & Glenn Harrison & Morten Lau & E. Rutström, 2009. "Elicitation using multiple price list formats," Experimental Economics, Springer;Economic Science Association, vol. 12(3), pages 365-366, September.
    26. Tomomi Tanaka & Colin F. Camerer & Quang Nguyen, 2010. "Risk and Time Preferences: Linking Experimental and Household Survey Data from Vietnam," American Economic Review, American Economic Association, vol. 100(1), pages 557-571, March.
    27. Love, Abby & Magnan, Nicholas & Colson, Gregory J., 2014. "Male and Female Risk Preferences and Maize Technology Adoption in Kenya," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170241, Agricultural and Applied Economics Association.
    28. Cagliuso Sr. Nicholas V, 2005. "The Risks of Terrorism," Journal of Homeland Security and Emergency Management, De Gruyter, vol. 2(2), pages 1-7, June.
    29. Ihli, Hanna Julia & Musshoff, Oliver, 2013. "Investment Behavior of Ugandan Smallholder Farmers: An Experimental Analysis," GlobalFood Discussion Papers 154775, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
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    2. Bülow, Catharina Wolff von & Liu, Xiufeng, 2020. "Ready-made oTree applications for the study of climate change adaptation behavior," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 88(C).

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