IDEAS home Printed from https://ideas.repec.org/r/kap/theord/v72y2012i3p359-386.html
   My bibliography  Save this item

Measuring the time stability of Prospect Theory preferences

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Dasgupta, Utteeyo & Gangadharan, Lata & Maitra, Pushkar & Mani, Subha, 2017. "Searching for preference stability in a state dependent world," Journal of Economic Psychology, Elsevier, vol. 62(C), pages 17-32.
  2. Christoph Duden & Oliver Mußhoff & Frank Offermann, 2023. "Dealing with low‐probability shocks: The role of selected heuristics in farmers’ risk management decisions," Agricultural Economics, International Association of Agricultural Economists, vol. 54(3), pages 382-399, May.
  3. Glenn W. Harrison & Morten I. Lau & Hong Il Yoo, 2020. "Risk Attitudes, Sample Selection, and Attrition in a Longitudinal Field Experiment," The Review of Economics and Statistics, MIT Press, vol. 102(3), pages 552-568, July.
  4. Dennis Vrecko & Thomas Langer, 2013. "What Are Investors Willing to Pay to Customize Their Investment Product?," Management Science, INFORMS, vol. 59(8), pages 1855-1870, August.
  5. Lienert, Judit & Duygan, Mert & Zheng, Jun, 2016. "Preference stability over time with multiple elicitation methods to support wastewater infrastructure decision-making," European Journal of Operational Research, Elsevier, vol. 253(3), pages 746-760.
  6. Yao Thibaut Kpegli, 2023. "Smoothing Spline Method for Measuring Prospect Theory Components," Working Papers 2303, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
  7. Ilke Aydogan & Yu Gao, 2020. "Experience and rationality under risk: re-examining the impact of sampling experience," Experimental Economics, Springer;Economic Science Association, vol. 23(4), pages 1100-1128, December.
  8. Maik Dierkes & Jan Krupski & Sebastian Schroen & Philipp Sibbertsen, 2024. "Volatility-dependent probability weighting and the dynamics of the pricing kernel puzzle," Review of Derivatives Research, Springer, vol. 27(1), pages 1-35, April.
  9. Lobel, Robert Eugene & Klotzle, Marcelo Cabus & Silva, Paulo Vitor Jordão da Gama & Pinto, Antonio Carlos Figueiredo, 2017. "Teoria do prospecto: Uma análise paramétrica de formas funcionais no Brasil," RAE - Revista de Administração de Empresas, FGV-EAESP Escola de Administração de Empresas de São Paulo (Brazil), vol. 57(5), October.
  10. Glenn W. Harrison & J. Todd Swarthout, 2023. "Cumulative Prospect Theory in the Laboratory: A Reconsideration," Research in Experimental Economics, in: Models of Risk Preferences: Descriptive and Normative Challenges, volume 22, pages 107-192, Emerald Group Publishing Limited.
  11. Peter Brooks & Simon Peters & Horst Zank, 2014. "Risk behavior for gain, loss, and mixed prospects," Theory and Decision, Springer, vol. 77(2), pages 153-182, August.
  12. Guo, Julie & Tymula, Agnieszka, 2021. "Waterfall illusion in risky choice – exposure to outcome-irrelevant gambles affects subsequent valuation of risky gambles," European Economic Review, Elsevier, vol. 139(C).
  13. Freudenreich, Hanna & Musshoff, Oliver, 2022. "Experience of losses and aversion to uncertainty - experimental evidence from farmers in Mexico," Ecological Economics, Elsevier, vol. 195(C).
  14. Kairies-Schwarz, Nadja & Kokot, Johanna & Vomhof, Markus & Weßling, Jens, 2017. "Health insurance choice and risk preferences under cumulative prospect theory – an experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 137(C), pages 374-397.
  15. Jinesh Jain & Nidhi Walia & Simarjeet Singh & Esha Jain, 2022. "Mapping the field of behavioural biases: a literature review using bibliometric analysis," Management Review Quarterly, Springer, vol. 72(3), pages 823-855, September.
  16. Utteeyo Dasgupta & Lata Gangadharan & Pushkar Maitra & Subha Mani, 2014. "De Gustibus Non Est Disputandum: An Experimental Investigation," Fordham Economics Discussion Paper Series dp2014-07, Fordham University, Department of Economics.
  17. Andreas C. Drichoutis & Achilleas Vassilopoulos, 2021. "Intertemporal stability of survey‐based measures of risk and time preferences," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 30(3), pages 655-683, August.
  18. Sepahvand, Mohammad H & Shahbazian, Roujman & Bali Swain, Ranjula, 2018. "Does revolution change risk attitudes? Evidence from Burkina Faso," Working Paper Series 2019:2, Uppsala University, Department of Economics.
  19. Katerina Straznicka, 2012. "Temporal stability of risk preference measures," Working Papers halshs-00768437, HAL.
  20. Freudenreich, Hanna & Musshoff, Oliver & Wiercinski, Ben, 2017. "The Relationship between Farmers' Shock Experiences and their Uncertainty Preferences - Experimental Evidence from Mexico," GlobalFood Discussion Papers 256212, Georg-August-Universitaet Goettingen, GlobalFood, Department of Agricultural Economics and Rural Development.
  21. Katerina Straznicka, 2012. "Temporal stability of risk preference measures," Working Papers 1236, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
  22. Sepahvand, Mohammad & Shahbazian, Roujman, 2017. "Individual’s Risk Attitudes in sub-Saharan Africa: Determinants and Reliability of Self-reported Risk in Burkina Faso," Working Paper Series 2017:11, Uppsala University, Department of Economics.
  23. Ryan O. Murphy & Robert H. W. ten Brincke, 2018. "Hierarchical Maximum Likelihood Parameter Estimation for Cumulative Prospect Theory: Improving the Reliability of Individual Risk Parameter Estimates," Management Science, INFORMS, vol. 64(1), pages 308-328, January.
  24. Dierkes, Maik & Germer, Stephan & Sejdiu, Vulnet, 2020. "Probability distortion, asset prices, and economic growth," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 84(C).
  25. Ferdinand M. Vieider & Clara Villegas-Palacio & Peter Martinsson & Milagros Mejía, 2016. "Risk Taking For Oneself And Others: A Structural Model Approach," Economic Inquiry, Western Economic Association International, vol. 54(2), pages 879-894, April.
  26. Galizzi, Matteo M. & Machado, Sara R. & Miniaci, Raffaele, 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.
  27. Stefan Zeisberger, 2022. "Do people care about loss probabilities?," Journal of Risk and Uncertainty, Springer, vol. 65(2), pages 185-213, October.
  28. Arthur E. Attema & Zhihua Li, 2024. "Reference-dependent discounting," Journal of Risk and Uncertainty, Springer, vol. 69(1), pages 57-83, August.
  29. Schurer, Stefanie, 2015. "Lifecycle patterns in the socioeconomic gradient of risk preferences," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 482-495.
  30. Daniel Cavagnaro & Mark Pitt & Richard Gonzalez & Jay Myung, 2013. "Discriminating among probability weighting functions using adaptive design optimization," Journal of Risk and Uncertainty, Springer, vol. 47(3), pages 255-289, December.
  31. Ferdinand M. Vieider & Peter Martinsson & Pham Khanh Nam & Nghi Truong, 2019. "Risk preferences and development revisited," Theory and Decision, Springer, vol. 86(1), pages 1-21, February.
  32. Cathleen Johnson & Aurélien Baillon & Han Bleichrodt & Zhihua Li & Dennie Dolder & Peter P. Wakker, 2021. "Prince: An improved method for measuring incentivized preferences," Journal of Risk and Uncertainty, Springer, vol. 62(1), pages 1-28, February.
  33. Chuang, Yating & Schechter, Laura, 2015. "Stability of experimental and survey measures of risk, time, and social preferences: A review and some new results," Journal of Development Economics, Elsevier, vol. 117(C), pages 151-170.
  34. Doron Sonsino & Yaron Lahav & Yefim Roth, 2022. "Reaching for Returns in Retail Structured Investment," Management Science, INFORMS, vol. 68(1), pages 466-486, January.
  35. Georgalos, Konstantinos, 2024. "Gender effects for loss aversion: A reconsideration," Journal of Economic Psychology, Elsevier, vol. 105(C).
  36. Banerjee, Priyodorshi & Das, Tanmoy, 2021. "Risky decision under laboratory deadline with experience and indirect self-selection," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
  37. Erner, Carsten & Klos, Alexander & Langer, Thomas, 2013. "Can prospect theory be used to predict an investor’s willingness to pay?," Journal of Banking & Finance, Elsevier, vol. 37(6), pages 1960-1973.
  38. Drichoutis, Andreas C. & Vassilopoulos, Achilleas, 2016. "Intertemporal stability of survey-based measures of risk and time preferences over a three-year course," MPRA Paper 73548, University Library of Munich, Germany.
  39. Matteo M. Galizzi & Marisa Miraldo & Charitini Stavropoulou, 2016. "In Sickness but Not in Wealth," Medical Decision Making, , vol. 36(4), pages 503-517, May.
  40. Rayner Tabetando, 2019. "Parental risk aversion and educational investment: panel evidence from rural Uganda," Review of Economics of the Household, Springer, vol. 17(2), pages 647-670, June.
  41. Anwesha Bandyopadhyay & Lutfunnahar Begum & Philip J. Grossman, 2021. "Gender differences in the stability of risk attitudes," Journal of Risk and Uncertainty, Springer, vol. 63(2), pages 169-201, October.
  42. Peter John Robinson & W. J. Wouter Botzen, 2019. "Determinants of Probability Neglect and Risk Attitudes for Disaster Risk: An Online Experimental Study of Flood Insurance Demand among Homeowners," Risk Analysis, John Wiley & Sons, vol. 39(11), pages 2514-2527, November.
  43. Walasek, Lukasz & Mullett, Timothy L. & Stewart, Neil, 2024. "A meta-analysis of loss aversion in risky contexts," Journal of Economic Psychology, Elsevier, vol. 103(C).
  44. Christoph Graf & Rudolf Vetschera & Yingchao Zhang, 2013. "Parameters of social preference functions: measurement and external validity," Theory and Decision, Springer, vol. 74(3), pages 357-382, March.
  45. Müller, Michael, 2016. "The strongest link in a weak team? Performance of players with and without outside options in relegated football clubs," Discussion Papers of the Institute for Organisational Economics 07/2016, University of Münster, Institute for Organisational Economics.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.