The predictive power of farmers’ risk attitude measures elicited by experimental methods
Abstract
Aim of study: Farmers’ behavior is shaped by their individual attitudes towards risk. Consequently, an understanding of the heterogeneous risk attitudes among farmers is key to predicting their decision-making. Therefore, there is a need for reliable methods to assess individuals’ risk attitudes. The main objective of this paper was to contribute to the existing literature about the external validity of risk attitude measures obtained with diverse experimental methods.
Area of study: Irrigated agriculture in a Mediterranean climate region.
Material and methods: Two different experimental methods widely applied in the agricultural sector were used to elicit farmers’ risk attitudes in a sample of irrigators in southern Spain: the Eckel and Grossman lottery-choice task and a self-assessment general risk question. We evaluated the explanatory power of both measures for the farming risk borne by farmers, using an approach based on dispersion measures of farming returns.
Main results: Results revealed stability across these elicitation methods, but the study yielded no evidence of statistical correlation with the farming risk actually borne by farmers, suggesting that it may not be advisable to use these methods for directly predicting farmers’ decision-making in modeling exercises.
Research highlights: The most relevant innovation of this paper was the validation approach followed, based on measures assessing the overall level of farming risk borne by individual producers, and the complementary analyses controlling for key variables that could affect farmer risk-taking.
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References
Abdellaoui M, Driouchi A, L'Haridon O, 2011. Risk aversion elicitation: reconciling tractability and bias minimization. Theor Decis 71: 63-80. https://doi.org/10.1007/s11238-009-9192-9
Abdulkadri AO, Langemeier MR, Featherstone AM, 2003. Estimating risk aversion coefficients for dry land wheat, irrigated corn and dairy producers in Kansas. Appl Econ 35: 825-834. https://doi.org/10.1080/0003648032000050612
Babcock BA, 2015. Using cumulative prospect theory to explain anomalous crop insurance coverage choice. Am J Agr Econ 97: 1371-1384. https://doi.org/10.1093/ajae/aav032
Bar-Shira Z, Just RE, Zilberman D, 1997. Estimation of farmers' risk attitude: an econometric approach. Agric Econ 17: 211-222. https://doi.org/10.1111/j.1574-0862.1997.tb00475.x
Binswanger HP, 1980. Attitudes toward risk: experimental measurement in rural India. Am J Agr Econ 62: 395-407. https://doi.org/10.2307/1240194
Bocquého G, Jacquet F, Reynaud A, 2014. Expected utility or prospect theory maximisers? Assessing farmers' risk behaviour from field-experiment data. Eur Rev Agr Econ 41: 135-172. https://doi.org/10.1093/erae/jbt006
Bombardini M, Trebbi F, 2012. Risk aversion and expected utility theory: an experiment with large and small stakes. J Eur Econ Assoc 10: 1348-1399. https://doi.org/10.1111/j.1542-4774.2012.01086.x
Brown P, Daigneault A, Dawson J, 2019. Age, values, farming objectives, past management decisions, and future intentions in New Zealand agriculture. J Environ Manage 231: 110-120. https://doi.org/10.1016/j.jenvman.2018.10.018
Charness G, Gneezy U, Imas A, 2013. Experimental methods: eliciting risk preferences. J Econ Behav Organ 87: 43-51. https://doi.org/10.1016/j.jebo.2012.12.023
Dave C, Eckel CC, Johnson CA, Rojas C, 2010. Eliciting risk preferences: when is simple better? J Risk Uncertain 41: 219-243. https://doi.org/10.1007/s11166-010-9103-z
Dimitrov DM, 2014. Statistical methods for validation of assessment scale data in counseling and related fields. Am Counsel Assoc, Alexandria (VA), USA.
Dohmen T, Falk A, Huffman D, Sunde U, Schupp J, Wagner GG, 2011. Individual risk attitudes: measurement, determinants, and behavioral consequences. J Eur Econ Assoc 9: 522-550. https://doi.org/10.1111/j.1542-4774.2011.01015.x
Du X, Feng H, Hennessy DA, 2016. Rationality of choices in subsidized crop insurance markets. Am J Agr Econ 99: 732-756. https://doi.org/10.1093/ajae/aaw035
Eckel CC, Grossman PJ, 2002. Sex differences and statistical stereotyping in attitudes toward financial risk. Evol Hum Behav 23: 281-295. https://doi.org/10.1016/S1090-5138(02)00097-1
Eckel CC, Grossman PJ, 2008. Forecasting risk attitudes: an experimental study using actual and forecast gamble choices. J Econ Behav Organ 68: 1-17. https://doi.org/10.1016/j.jebo.2008.04.006
Engle-Warnick J, Escobal J, Laszlo S, 2009. How do additional alternatives affect individual choice under uncertainty? Can J Econ 42: 113-140. https://doi.org/10.1111/j.1540-5982.2008.01501.x
Feinerman E, Finkelshtain I, 1996. Introducing socioeconomic characteristics into production analysis under risk. Agric Econ 13: 149-161. https://doi.org/10.1111/j.1574-0862.1996.tb00384.x
Franken JRV, Pennings JME, Garcia P, 2017. Risk attitudes and the structure of decision-making: evidence from the Illinois hog industry. Agr Econ 48: 41-50. https://doi.org/10.1111/agec.12293
Gollier C, 2004. The economics of risk and time. The MIT Press, Boston.
Gómez-Limón JA, Arriaza M, Riesgo L, 2003. An MCDM analysis of agricultural risk aversion. Eur J Oper Res 151: 569-585. https://doi.org/10.1016/S0377-2217(02)00625-2
Gómez-Limón JA, Arriaza M, Villanueva AJ, 2013. Typifying irrigated areas to support policy design and implementation: the case of the Guadalquivir river basin. Irrig Drain 62: 322-329. https://doi.org/10.1002/ird.1747
Hansson H, Lagerkvist CJ, 2012. Measuring farmers' preferences for risk: a domain-specific risk preference scale. J Risk Res 15: 737-753. https://doi.org/10.1080/13669877.2012.657217
Hardaker JB, Huirne RBM, Anderson JR, Lien G, 2004. Coping with risk in agriculture. CABI Publ, Wallingford (UK). https://doi.org/10.1079/9780851998312.0000
Hellerstein D, Higgins N, Horowitz J, 2013. The predictive power of risk preference measures for farming decisions. Eur Rev Agr Econ 40: 807-833. https://doi.org/10.1093/erae/jbs043
Holden ST, Quiggin J, 2017. Climate risk and state-contingent technology adoption: shocks, drought tolerance and preferences. Eur Rev Agr Econ 44: 285-308. https://doi.org/10.1093/erae/jbw016
Holt CA, Laury SK, 2002. Risk aversion and incentive effects. Am Econ Rev 92: 1644-1655. https://doi.org/10.1257/000282802762024700
IPCC, 2014. Climate change 2014: Impacts, adaptation, and vulnerability. Part A: Global and sectoral aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge Univ Press, Cambridge (UK).
Iyer P, Bozzola M, Hirsch S, Meraner M, Finger R, 2019. Measuring farmer risk preferences in Europe: a systematic review. J Agr Econ 71: 3-26. https://doi.org/10.1111/1477-9552.12325
Just DR, Just RE, 2016. Empirical identification of behavioral choice models under risk. Am J Agr Econ 98: 1181-1194. https://doi.org/10.1093/ajae/aaw019
Just RE, Just DR, 2011. Global identification of risk preferences with revealed preference data. J Econometrics 162: 6-17. https://doi.org/10.1016/j.jeconom.2009.10.004
Kahneman D, Tversky A, 1979. Prospect theory: an analysis of decision under risk. Econometrica 47: 263-291. https://doi.org/10.2307/1914185
Maart-Noelck SC, Musshoff O, 2014. Measuring the risk attitude of decision-makers: are there differences between groups of methods and persons? Aust J Agr Resour Econ 58: 336-352. https://doi.org/10.1111/j.1467-8489.2012.00620.x
Menapace L, Colson G, Raffaelli R, 2016. A comparison of hypothetical risk attitude elicitation instruments for explaining farmer crop insurance purchases. Eur Rev Agr Econ 43: 113-135. https://doi.org/10.1093/erae/jbv013
Meraner M, Finger R, 2017. Risk perceptions, preferences and management strategies: evidence from a case study using German livestock farmers. J Risk Res 22: 110-135. https://doi.org/10.1080/13669877.2017.1351476
Moschini G, Hennessy DA, 2001. Uncertainty, risk aversion, and risk management for agricultural producers. In: The handbook of agricultural economics; Gardner BL, Rausser GC (eds.). pp: 87-153. Elsevier Sci, Amsterdam. https://doi.org/10.1016/S1574-0072(01)10005-8
Nielsen T, Keil A, Zeller M, 2013. Assessing farmers' risk preferences and their determinants in a marginal upland area of Vietnam: a comparison of multiple elicitation techniques. Agr Econ 44: 255-273. https://doi.org/10.1111/agec.12009
Pérez-Blanco CD, Delacámara G, Gómez CM, 2015. Revealing the willingness to pay for income insurance in agriculture. J Risk Res 19: 873-893. https://doi.org/10.1080/13669877.2015.1042505
Picazo-Tadeo AJ, Wall A, 2011. Production risk, risk aversion and the determination of risk attitudes among Spanish rice producers. Agric Econ 42: 451-464. https://doi.org/10.1111/j.1574-0862.2011.00537.x
Reynaud A, Couture S, 2012. Stability of risk preference measures: results from a field experiment on French farmers. Theor Decis 73: 203-221. https://doi.org/10.1007/s11238-012-9296-5
Roe BE, 2015. The risk attitudes of U.S. farmers. Appl Econ Perspect Policy 37: 553-574. https://doi.org/10.1093/aepp/ppv022
Rommel J, Hermann D, Müller M, Mußhoff O, 2019. Contextual framing and monetary incentives in field experiments on risk preferences: evidence from German farmers. J Agr Econ 70: 408-425. https://doi.org/10.1111/1477-9552.12298
Tanaka T, Camerer CF, Nguyen Q, 2010. Risk and time preferences: linking experimental and household survey data from Vietnam. Am Econ Rev 100: 557-571. https://doi.org/10.1257/aer.100.1.557
Tversky A, Kahneman D, 1992. Advances in prospect theory: cumulative representation of uncertainty. J Risk Uncertainty 5: 297-323. https://doi.org/10.1007/BF00122574
van Winsen F, de Mey Y, Lauwers L, Van Passel S, Vancauteren M, Wauters E, 2014. Determinants of risk behaviour: effects of perceived risks and risk attitude on farmer's adoption of risk management strategies. J Risk Res 19: 56-78. https://doi.org/10.1080/13669877.2014.940597
Verschoor A, D'Exelle B, Perez-Viana B, 2016. Lab and life: does risky choice behaviour observed in experiments reflect that in the real world? J Econ Behav Organ 128: 134-148. https://doi.org/10.1016/j.jebo.2016.05.009
Vollmer E, Hermann D, Mußhoff O, 2017. Is the risk attitude measured with the Holt and Laury task reflected in farmers' production risk? Eur Rev Agr Econ 44: 399-424. https://doi.org/10.1093/erae/jbx004
Weber EU, Blais A-R, Betz NE, 2002. A domain-specific risk-attitude scale: measuring risk perceptions and risk behaviors. J Behav Decis Making 15: 263-290. https://doi.org/10.1002/bdm.414
Wik M, Aragie Kebede T, Bergland O, Holden ST, 2004. On the measurement of risk aversion from experimental data. Appl Econ 36: 2443-2451. https://doi.org/10.1080/0003684042000280580
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