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Do Changing Probabilities or Payoffs in Lottery-Choice Experiments Affect Risk Preference Outcomes? Evidence from Rural Uganda

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  • Ihli, Hanna Julia
  • Chiputwa, Brian
  • Musshoff, Oliver

Abstract

This study compares risk preferences elicited from two different methods and the resulting inconsistency rates in response behavior. We also identify and compare how demographic and socioeconomic characteristics influence risk preferences elicited from the two methods. We use experimental and survey data collected from 332 randomly selected smallholder coffee farmers in Uganda. We find relatively low inconsistency rates in the response behavior and that both methods classify most farmers as risk averse. However, a closer inspection reveals significantly different risk results. Specific demographic and socioeconomic characteristics affect farmers’ risk preferences but are not stable across elicitation methods.

Suggested Citation

  • Ihli, Hanna Julia & Chiputwa, Brian & Musshoff, Oliver, 2016. "Do Changing Probabilities or Payoffs in Lottery-Choice Experiments Affect Risk Preference Outcomes? Evidence from Rural Uganda," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 0(Number 2), May.
  • Handle: RePEc:ags:jlaare:235193
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    File URL: http://ageconsearch.umn.edu/record/235193/files/JARE_May2016__9_Ihli_324-345_online.pdf
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    References listed on IDEAS

    as
    1. Masclet, David & Colombier, Nathalie & Denant-Boemont, Laurent & Lohéac, Youenn, 2009. "Group and individual risk preferences: A lottery-choice experiment with self-employed and salaried workers," Journal of Economic Behavior & Organization, Elsevier, vol. 70(3), pages 470-484, June.
    2. Galarza, Francisco, 2009. "Choices under Risk in Rural Peru," MPRA Paper 17708, University Library of Munich, Germany.
    3. 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.
    4. de Brauw, Alan & Eozenou, Patrick, 2014. "Measuring risk attitudes among Mozambican farmers," Journal of Development Economics, Elsevier, vol. 111(C), pages 61-74.
    5. Norbert Hirschauer & Oliver Musshoff & Syster C. Maart-Noelck & Sven Gruener, 2014. "Eliciting risk attitudes -- how to avoid mean and variance bias in Holt-and-Laury lotteries," Applied Economics Letters, Taylor & Francis Journals, vol. 21(1), pages 35-38, January.
    6. Mette Wik & Tewodros Aragie Kebede & Olvar Bergland & Stein Holden, 2004. "On the measurement of risk aversion from experimental data," Applied Economics, Taylor & Francis Journals, vol. 36(21), pages 2443-2451.
    7. Hurley, Terrance M., 2010. "A review of agricultural production risk in the developing world," Working Papers 188476, HarvestChoice.
    8. Mohammed Abdellaoui & Ahmed Driouchi & Olivier L’Haridon, 2011. "Risk aversion elicitation: reconciling tractability and bias minimization," Theory and Decision, Springer, vol. 71(1), pages 63-80, July.
    9. Luisa Menapace & Gregory Colson & Roberta Raffaelli, 2013. "Risk Aversion, Subjective Beliefs, and Farmer Risk Management Strategies," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 95(2), pages 384-389.
    10. Sarah Jacobson & Ragan Petrie, 2009. "Learning from mistakes: What do inconsistent choices over risk tell us?," Journal of Risk and Uncertainty, Springer, vol. 38(2), pages 143-158, April.
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    Cited by:

    1. Wening Sarwosri, Arieska & Wegmann, Johannes & Mußhoff, Oliver, 2018. "Encouraging rainforest preservation by smallholders: An ex-ante policy evaluation," EFForTS Discussion Paper Series 23, University of Goettingen, Collaborative Research Centre 990 "EFForTS, Ecological and Socioeconomic Functions of Tropical Lowland Rainforest Transformation Systems (Sumatra, Indonesia)".

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