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Citations for "An Experimental Measurement of Utility"

by Frederick Mosteller & Philip Nogee

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  1. Wilcox, Nathaniel, 2007. "Stochastically more risk averse: A contextual theory of stochastic discrete choice under risk," MPRA Paper 11851, University Library of Munich, Germany.
  2. van de Kuilen, G. & Wakker, P.P., 2011. "The midweight method to measure attitudes towards risk and ambiguity," Other publications TiSEM c58a6884-24cc-4cab-ae2f-a, Tilburg University, School of Economics and Management.
  3. Elrod, Terry & Johnson, Richard D. & White, Joan, 2004. "A new integrated model of noncompensatory and compensatory decision strategies," Organizational Behavior and Human Decision Processes, Elsevier, vol. 95(1), pages 1-19, September.
  4. Pillai N., Vijayamohanan, 2008. "In Quest of Truth: The War of Methods in Economics," MPRA Paper 8866, University Library of Munich, Germany.
  5. Krahnen, Jan Pieter & Rieck, Christian & Theissen, Erik, 1997. "Messung individueller Risikoeinstellungen," CFS Working Paper Series 1997/03, Center for Financial Studies (CFS).
  6. Andersson, Ola & Tyran, Jean-Robert & Wengström, Erik & Holm, Håkan J., 2013. "Risk Aversion Relates to Cognitive Ability: Fact or Fiction?," Working Paper Series 964, Research Institute of Industrial Economics.
  7. Dickhaut, John & Smith, Vernon & Xin, Baohua & Rustichini, Aldo, 2013. "Human economic choice as costly information processing," Journal of Economic Behavior & Organization, Elsevier, vol. 94(C), pages 206-221.
  8. He, Yuqing, 2012. "Psychophysical interpretation for utility measures," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 6, pages 1-35.
  9. Robert Shelburne, 2006. "A Utilitarian Welfare Analysis of Trade Liberalization," ECE Discussion Papers Series 2006_4, UNECE.
  10. Nathaniel T. Wilcox, 2015. "Unusual Estimates of Probability Weighting Functions," Working Papers 15-10, Chapman University, Economic Science Institute.
  11. Alessandro Innocenti, 2008. "How can a psychologist inform economics? The strange case of Sidney Siegel," Department of Economic Policy, Finance and Development (DEPFID) University of Siena 0808, Department of Economic Policy, Finance and Development (DEPFID), University of Siena.
  12. David Butler & Andrea Isoni & Graham Loomes & Kei Tsutsui, 2014. "Beyond choice: investigating the sensitivity and validity of measures of strength of preference," Experimental Economics, Springer;Economic Science Association, vol. 17(4), pages 537-563, December.
  13. Paul Koster & Erik T. Verhoef, 2012. "A Rank-dependent Scheduling Model," Journal of Transport Economics and Policy, University of Bath, vol. 46(1), pages 123-138, January.
  14. LEROUX, Marie-Louise & PONTHIERE, Gregory, . "Optimal tax policy and expected longevity: a mean and variance utility approach," CORE Discussion Papers RP 2158, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  15. Rakesh Sarin & Peter Wakker, 1997. "A Single-Stage Approach to Anscombe and Aumann's Expected Utility," Review of Economic Studies, Oxford University Press, vol. 64(3), pages 399-409.
  16. González-Vallejo, Claudia & Harman, Jason L. & Mullet, Etienne & Muñoz Sastre, Maria T., 2012. "An examination of the proportional difference model to describe and predict health decisions," Organizational Behavior and Human Decision Processes, Elsevier, vol. 118(1), pages 82-97.
  17. George Wu & Alex B. Markle, 2008. "An Empirical Test of Gain-Loss Separability in Prospect Theory," Management Science, INFORMS, vol. 54(7), pages 1322-1335, July.
  18. Carlos Javier Ayala Regalado, 2014. "Percepción del valor del dinero y asignación de precios en un grupo de habitantes de la ciudad de Medellín," ESCENARIOS: EMPRESAS Y TERRITORIO, INSTITUCION UNIVERSITARIA ESUMER, January.
  19. Jie Weiss & David Weiss & Ward Edwards, 2010. "A descriptive multi-attribute utility model for everyday decisions," Theory and Decision, Springer, vol. 68(1), pages 101-114, February.
  20. Huck, Steffen & Weizsacker, Georg, 1999. "Risk, complexity, and deviations from expected-value maximization: Results of a lottery choice experiment," Journal of Economic Psychology, Elsevier, vol. 20(6), pages 699-715, December.
  21. Gayer, Gabrielle, 2010. "Perception of probabilities in situations of risk: A case based approach," Games and Economic Behavior, Elsevier, vol. 68(1), pages 130-143, January.
  22. Matteo M. Galizzi & Sara R. Machado & Raffaele Miniaci, 2016. "Temporal stability, cross-validity, and external validity of risk preferences measures: experimental evidence from a UK representative sample," LSE Research Online Documents on Economics 67554, London School of Economics and Political Science, LSE Library.
  23. Michael Woodford, 2014. "An Optimizing Neuroeconomic Model of Discrete Choice," NBER Working Papers 19897, National Bureau of Economic Research, Inc.
  24. Pennings, Joost M.E. & Garcia, Philip, 2004. "Strategic Risk Management Behavior: What Can Utility Functions Tell Us?," 2004 Annual meeting, August 1-4, Denver, CO 20388, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  25. Arkady Konovalov & Ian Krajbich, 2015. "Revealed Indifference: Using Response Times to Infer Preferences," Working Papers 16-01, Ohio State University, Department of Economics.
  26. Harrison, Glenn W, 1994. "Expected Utility Theory and the Experimentalists," Empirical Economics, Springer, vol. 19(2), pages 223-53.
  27. Ghossoub, Mario, 2011. "Towards a Purely Behavioral Definition of Loss Aversion," MPRA Paper 37628, University Library of Munich, Germany, revised 23 Mar 2012.
  28. Bernt P. Stigum, 2000. "Rationality in Econometrics," Econometric Society World Congress 2000 Contributed Papers 0747, Econometric Society.
  29. Shogren, Jason F., 2006. "Experimental Methods and Valuation," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 19, pages 969-1027 Elsevier.
  30. Henry Stott, 2006. "Cumulative prospect theory's functional menagerie," Journal of Risk and Uncertainty, Springer, vol. 32(2), pages 101-130, March.
  31. Cheremukhin, Anton & Popova, Anna & Tutino, Antonella, 2015. "A theory of discrete choice with information costs," Journal of Economic Behavior & Organization, Elsevier, vol. 113(C), pages 34-50.
  32. Levy, Haim & Wiener, Zvi, 2013. "Prospect theory and utility theory: Temporary versus permanent attitude toward risk," Journal of Economics and Business, Elsevier, vol. 68(C), pages 1-23.
  33. Alessandro Innocenti, 2004. "Paradoxes versus formalism in economics. Evidence from the early years of game theory and experimental economics," Department of Economics University of Siena 433, Department of Economics, University of Siena.
  34. Graham Loomes & Ganna Pogrebna, 2014. "Testing for independence while allowing for probabilistic choice," Journal of Risk and Uncertainty, Springer, vol. 49(3), pages 189-211, December.
  35. Innocenti, Alessandro, 2010. "How a psychologist informed economics: The case of Sidney Siegel," Journal of Economic Psychology, Elsevier, vol. 31(3), pages 421-434, June.
  36. Tian, Guoqiang, 1991. "Implementation of the Walrasian Correspondence without Continuous, Convex, and Ordered Preferences," MPRA Paper 41298, University Library of Munich, Germany.
  37. David Butler & Andrea Isoni & Graham Loomes, 2012. "Testing the ‘standard’ model of stochastic choice under risk," Journal of Risk and Uncertainty, Springer, vol. 45(3), pages 191-213, December.
  38. Nathaniel T. Wilcox, 2015. "Error and Generalization in Discrete Choice Under Risk," Working Papers 15-11, Chapman University, Economic Science Institute.
  39. Andreas Ortman, 2013. "Episodes from the Early History of Experimentation in Economics," Discussion Papers 2013-34, School of Economics, The University of New South Wales.
  40. Bose, Sudip, 2014. "A stochastic model for assessing the utility of chance," Statistics & Probability Letters, Elsevier, vol. 93(C), pages 72-77.
This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.