Theorem of existence of ruptures for mean values on finite numerical segments. Discrete case
AbstractThe proof of the theorem of existence of the ruptures, namely the proof of maximality, is improved. The theorem may be used in economics and explain the well-known problems such as Allais’ paradox. Illustrated examples of ruptures are presented.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 35650.
Date of creation: 31 Dec 2011
Date of revision:
utility; utility theory; probability; uncertainty; decisions; economics; Allais paradox; risk aversion;
Find related papers by JEL classification:
- D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
- C0 - Mathematical and Quantitative Methods - - General
- C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
- G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies
- C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
- C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General
This paper has been announced in the following NEP Reports:
- NEP-ACC-2012-01-10 (Accounting & Auditing)
- NEP-ALL-2012-01-10 (All new papers)
- NEP-UPT-2012-01-10 (Utility Models & Prospect Theory)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Tversky, Amos & Wakker, Peter, 1995. "Risk Attitudes and Decision Weights," Econometrica, Econometric Society, vol. 63(6), pages 1255-80, November.
- Daniel Kahneman & Richard H. Thaler, 2006. "Anomalies: Utility Maximization and Experienced Utility," Journal of Economic Perspectives, American Economic Association, vol. 20(1), pages 221-234, Winter.
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