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Digging into Background Risk: Experiments with Farmers and Students

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  • David H. Herberich
  • John A. List

Abstract

The article reports on a study that provides understanding of how risk preferences and other factors influence a farmer's decision to participate in a carbon offset market. It states incorporating background risk in a laboratory setting and drawing subjects from both a standard student population and a nonstandard farmer population helped to understand the decision making process. The study suggests that farmers are slightly more risk averse than students.
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Suggested Citation

  • David H. Herberich & John A. List, 2012. "Digging into Background Risk: Experiments with Farmers and Students," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(2), pages 457-463.
  • Handle: RePEc:oup:ajagec:v:94:y:2012:i:2:p:457-463
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    File URL: http://hdl.handle.net/10.1093/ajae/aar070
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    References listed on IDEAS

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    1. repec:feb:framed:0074 is not listed on IDEAS
    2. Jinkwon Lee, 2008. "The effect of the background risk in a simple chance improving decision model," Journal of Risk and Uncertainty, Springer, vol. 36(1), pages 19-41, February.
    3. Hans P. Binswanger, 1980. "Attitudes Toward Risk: Experimental Measurement in Rural India," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 62(3), pages 395-407.
    4. John A. List, 2006. "The Behavioralist Meets the Market: Measuring Social Preferences and Reputation Effects in Actual Transactions," Journal of Political Economy, University of Chicago Press, vol. 114(1), pages 1-37, February.
    5. Robert Gazzale & Julian Jamison & Alexander Karlan & Dean Karlan, 2013. "Ambiguous Solicitation: Ambiguous Prescription," Economic Inquiry, Western Economic Association International, vol. 51(1), pages 1002-1011, January.
    6. 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.
    7. Camerer, Colin & Weber, Martin, 1992. "Recent Developments in Modeling Preferences: Uncertainty and Ambiguity," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 325-370, October.
    8. Glenn W Harrison & John A List & Charles Towe, 2007. "Naturally Occurring Preferences and Exogenous Laboratory Experiments: A Case Study of Risk Aversion," Econometrica, Econometric Society, vol. 75(2), pages 433-458, March.
    9. 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.
    10. Gollier, Christian & Pratt, John W, 1996. "Risk Vulnerability and the Tempering Effect of Background Risk," Econometrica, Econometric Society, vol. 64(5), pages 1109-1123, September.
    11. Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
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    Citations

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    Cited by:

    1. Sauter, Philipp & Hermann, Daniel & Mußhoff, Oliver, 2015. "Risk attitudes of foresters, farmers and students: An experimental multimethod comparison," DARE Discussion Papers 1514, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    2. Gloede, Oliver & Menkhoff, Lukas & Waibel, Hermann, 2015. "Shocks, Individual Risk Attitude, and Vulnerability to Poverty among Rural Households in Thailand and Vietnam," World Development, Elsevier, vol. 71(C), pages 54-78.
    3. 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, Foundation for the European Review of Agricultural Economics, vol. 43(1), pages 113-135.
    4. Nagler, Amy M. & Menkhaus, Dale J. & Bastian, Christopher T. & Ehmke, Mariah D. & Coatney, Kalyn T., 2013. "Subsidy Incidence in Factor Markets: An Experimental Approach," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 45(01), pages 17-33, February.
    5. Mohamed Ali Bchir & Marc Willinger, 2013. "Does the exposure to natural hazards affect risk and time preferences? Some insights from a field experiment in Perú," Working Papers 13-04, LAMETA, Universtiy of Montpellier, revised Mar 2013.
    6. repec:bla:jageco:v:68:y:2017:i:3:p:682-709 is not listed on IDEAS
    7. Marc Willinger & Mohamed Ali Bchir & Carine Heitz, 2013. "Risk and time preferences under the threat of background risk: a case-study of lahars risk in central Java," Working Papers 13-08, LAMETA, Universtiy of Montpellier, revised May 2013.
    8. Verschoor, Arjan & D’Exelle, Ben & Perez-Viana, Borja, 2016. "Lab and life: Does risky choice behaviour observed in experiments reflect that in the real world?," Journal of Economic Behavior & Organization, Elsevier, vol. 128(C), pages 134-148.
    9. Hermann, Daniel & Musshoff, Oliver, 2016. "Measuring time preferences: Comparing methods and evaluating the magnitude effect," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 65(C), pages 16-26.
    10. Hermann, Daniel & Mußhoff, Oliver & Rüther, Dörte, 2015. "Measuring farmers' time preference: A comparison of methods," DARE Discussion Papers 1506, Georg-August University of Göttingen, Department of Agricultural Economics and Rural Development (DARE).
    11. 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.

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