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Risk Attitude in Real Decision Problems

Author

Listed:
  • Botti Fabrizio

    () (LUISS Guido Carli Rome)

  • Conte Anna

    () (University of Rome I “La Sapienza”, University of Rome II “Tor Vergata” and LUISS Guido Carli Rome)

  • Di Cagno Daniela Teresa

    () (LUISS Guido Carli Rome)

  • D'Ippoliti Carlo

    () (University of Rome I “La Sapienza” and LUISS Guido Carli Rome)

Abstract

We use data from 298 showings of the television program "Affari Tuoi," which involves contestants making decisions between risky prospects with possible prizes of up to half a million euros, to estimate three models of decision-making under risk: Expected Utility, Rank-Dependent Expected Utility and Regret-Rejoice. We find that Regret-Rejoice does not significantly improve upon Expected Utility, while Rank-Dependent outperforms it. Interestingly, we find that the CARA specification fits significantly better than the conventionally-adopted CRRA specification. Crucially, we find a significant role for unobserved heterogeneity, implying that our estimates provide more superior estimates of risk attitude and of probability weighting than other studies.

Suggested Citation

  • Botti Fabrizio & Conte Anna & Di Cagno Daniela Teresa & D'Ippoliti Carlo, 2008. "Risk Attitude in Real Decision Problems," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 8(1), pages 1-32, March.
  • Handle: RePEc:bpj:bejeap:v:8:y:2008:i:1:n:6
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    References listed on IDEAS

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    1. Loomes, Graham & Moffatt, Peter G & Sugden, Robert, 2002. "A Microeconometric Test of Alternative Stochastic Theories of Risky Choice," Journal of Risk and Uncertainty, Springer, vol. 24(2), pages 103-130, March.
    2. Robert Gertner, 1993. "Game Shows and Economic Behavior: Risk-Taking on "Card Sharks"," The Quarterly Journal of Economics, Oxford University Press, vol. 108(2), pages 507-521.
    3. Matthew Rabin., 2000. "Diminishing Marginal Utility of Wealth Cannot Explain Risk Aversion," Economics Working Papers E00-287, University of California at Berkeley.
    4. Glenn W. Harrison & John A. List, 2004. "Field Experiments," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1009-1055, December.
    5. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555, April.
    6. Thierry Post & Martijn J. van den Assem & Guido Baltussen & Richard H. Thaler, 2008. "Deal or No Deal? Decision Making under Risk in a Large-Payoff Game Show," American Economic Review, American Economic Association, vol. 98(1), pages 38-71, March.
    7. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    8. Glenn W. Harrison & Morten I. Lau & E. Elisabet Rutström, 2007. "Estimating Risk Attitudes in Denmark: A Field Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 109(2), pages 341-368, June.
    9. Renate Schubert, 1999. "Financial Decision-Making: Are Women Really More Risk-Averse?," American Economic Review, American Economic Association, vol. 89(2), pages 381-385, May.
    10. Loomes, Graham & Sugden, Robert, 1982. "Regret Theory: An Alternative Theory of Rational Choice under Uncertainty," Economic Journal, Royal Economic Society, vol. 92(368), pages 805-824, December.
    11. Roger Hartley & Gauthier Lanot & Ian Walker, 2014. "Who Really Wants To Be A Millionaire? Estimates Of Risk Aversion From Gameshow Data," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 29(6), pages 861-879, September.
    12. Nicolas de Roos & Yianis Sarafidis, 2010. "Decision making under risk in Deal or No Deal," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(6), pages 987-1027.
    13. Friend, Irwin & Blume, Marshall E, 1975. "The Demand for Risky Assets," American Economic Review, American Economic Association, vol. 65(5), pages 900-922, December.
    14. Peter Moffatt & Simon Peters, 2001. "Testing for the Presence of a Tremble in Economic Experiments," Experimental Economics, Springer;Economic Science Association, vol. 4(3), pages 221-228, December.
    15. 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.
    16. Metrick, Andrew, 1995. "A Natural Experiment in "Jeopardy!"," American Economic Review, American Economic Association, vol. 85(1), pages 240-253, March.
    17. Connel Fullenkamp & Rafael Tenorio & Robert Battalio, 2003. "Assessing Individual Risk Attitudes Using Field Data From Lottery Games," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 218-226, February.
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    Cited by:

    1. Wright, Joshua, 2017. "To what extent does income predict an individual’s risk profile in the UK (2012- 2014)," MPRA Paper 80757, University Library of Munich, Germany.
    2. Nicolas de Roos & Yianis Sarafidis, 2010. "Decision making under risk in Deal or No Deal," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(6), pages 987-1027.
    3. Anna Conte & Peter G. Moffatt, 2009. "Òthe Pluralism Of Fairness Idealsó: A Comment," Quaderni DEF 162, Dipartimento di Economia e Finanza, LUISS Guido Carli.
    4. Anna Conte & Peter Moffatt, 2014. "The econometric modelling of social preferences," Theory and Decision, Springer, vol. 76(1), pages 119-145, January.
    5. Anna Conte & Peter G. Moffatt & Fabrizio Botti & Daniela T. Di Cagno & Carlo D’Ippoliti, 2012. "A test of the rational expectations hypothesis using data from a natural experiment," Applied Economics, Taylor & Francis Journals, vol. 44(35), pages 4661-4678, December.
    6. Botti, Fabrizio & Conte, Anna & Di Cagno, Daniela & D'Ippoliti, Carlo, 2009. "Lab and framed lab versus natural experiments: Evidence from a risky choice experiment," Research in Economics, Elsevier, vol. 63(4), pages 282-295, December.
    7. Mehmet Burak Kahyaoglu & Ozgur Ican, 2017. "Risk Aversion and Emotions in DoND," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 9(1), pages 32-46, January.
    8. Gigi Foster & Paul Frijters & Markus Schaffner & Benno Torgler, 2013. "Expectation Formation in an Evolving Game of Uncertainty: Theory and New Experimental Evidence," QuBE Working Papers 022, QUT Business School.
    9. Conte, Anna & Hey, John D. & Moffatt, Peter G., 2011. "Mixture models of choice under risk," Journal of Econometrics, Elsevier, vol. 162(1), pages 79-88, May.
    10. Blavatskyy, Pavlo R., 2012. "Utility of a quarter-million," Economics Letters, Elsevier, vol. 117(3), pages 650-653.
    11. Franz Buscha & Anna Conte, 2014. "The Impact of Truancy on Educational Attainment during Compulsory Schooling: a Bivariate Ordered Probit Estimator with Mixed Effects," Manchester School, University of Manchester, vol. 82(1), pages 103-127, January.

    More about this item

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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