Behavioural Economics: Classical and Modern
Download full text from publisher
References listed on IDEAS
- Glimcher, Paul W. & Dorris, Michael C. & Bayer, Hannah M., 2005. "Physiological utility theory and the neuroeconomics of choice," Games and Economic Behavior, Elsevier, vol. 52(2), pages 213-256, August.
- Jeremy J. Siegel & Richard H. Thaler, 1997. "Anomalies: The Equity Premium Puzzle," Journal of Economic Perspectives, American Economic Association, vol. 11(1), pages 191-200, Winter.
- J. Barkley Rosser Jr. (ed.), 2009. "Handbook of Research on Complexity," Books, Edward Elgar Publishing, number 3625, April.
- Owen A. Lamont & Richard H. Thaler, 2003. "Anomalies: The Law of One Price in Financial Markets," Journal of Economic Perspectives, American Economic Association, vol. 17(4), pages 191-202, Fall.
- Rustichini, Aldo, 2005. "Neuroeconomics: Present and future," Games and Economic Behavior, Elsevier, vol. 52(2), pages 201-212, August.
- Kahneman, Daniel & Tversky, Amos, 1979.
"Prospect Theory: An Analysis of Decision under Risk,"
Econometric Society, vol. 47(2), pages 263-291, March.
- Amos Tversky & Daniel Kahneman, 1979. "Prospect Theory: An Analysis of Decision under Risk," Levine's Working Paper Archive 7656, David K. Levine.
- K. Vela Velupillai, 2007. "A Computable Economistï¿½s Perspective on Computational Complexity," Department of Economics Working Papers 0723, Department of Economics, University of Trento, Italia.
- Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
- Daniel Kahneman & Jack L. Knetsch & Richard H. Thaler, 1991. "Anomalies: The Endowment Effect, Loss Aversion, and Status Quo Bias," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 193-206, Winter.
- George A. Akerlof, 2009. "How Human Psychology Drives the Economy and Why It Matters," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1175-1175.
- Kumaraswamy Velupillai, "undated". "The Computable Approach to Economics," Working Papers _005, University of California at Los Angeles, Center for Computable Economics.
- LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233 Elsevier.
- Lee, Charles M C & Shleifer, Andrei & Thaler, Richard H, 1990. "Closed-End Mutual Funds," Journal of Economic Perspectives, American Economic Association, vol. 4(4), pages 153-164, Fall.
- Tversky, Amos & Thaler, Richard H, 1990. "Anomalies: Preference Reversals," Journal of Economic Perspectives, American Economic Association, vol. 4(2), pages 201-211, Spring.
- Smith, Vernon L, 1976. "Experimental Economics: Induced Value Theory," American Economic Review, American Economic Association, vol. 66(2), pages 274-279, May.
CitationsCitations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
- K.Vela Velupillai, 2012. "The Epistemology of Simulation, Computation and Dynamics in Economics," ASSRU Discussion Papers 1218, ASSRU - Algorithmic Social Science Research Unit.
- Ying-Fang Kao & K. Vela Velupillai, 2012. "Reconstructing a Computable and Computationally Complex Theoretic Path Towards Simon's Behavioural Economics," ASSRU Discussion Papers 1222, ASSRU - Algorithmic Social Science Research Unit.
- Piercarlo Frigero, 2017. "Reconsidering Communication Regarding Economic Phenomena. Some Hints from a Complexity Approach," Working papers 040, Department of Economics and Statistics (Dipartimento di Scienze Economico-Sociali e Matematico-Statistiche), University of Torino.
More about this item
KeywordsClassical Behavioural Economics; Modern Behavioural Economics; Subjective Probability; Model of Computation; Computational Complexity. Subjective Expected Utility;
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
- D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2011-11-01 (All new papers)
- NEP-CBE-2011-11-01 (Cognitive & Behavioural Economics)
- NEP-EVO-2011-11-01 (Evolutionary Economics)
- NEP-HIS-2011-11-01 (Business, Economic & Financial History)
- NEP-HME-2011-11-01 (Heterodox Microeconomics)
- NEP-HPE-2011-11-01 (History & Philosophy of Economics)
- NEP-UPT-2011-11-01 (Utility Models & Prospect Theory)
StatisticsAccess and download statistics
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:trn:utwpas:1126. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (email@example.com). General contact details of provider: http://edirc.repec.org/data/detreit.html .