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  • Search: subject:"Composite Prelec probability weighting functions"
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Year of publication
Subject
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Composite Prelec probability weighting functions 2 Composite cumulative prospect theory 2 Composite rank dependent utility theory 2 Decision making under risk 2 Insurance 2 Becker.s paradox 1 Behavioral economics 1 Composite cumulative rospect theory 1 Expected utility theory 1 Illegal activity 1 Prelec and composite Prelec probability weighting functions 1 Prospect theory 1 Punishment functions 1 Rank dependent expected utility 1 St. Petersburg paradox 1 local power invariance 1 power invariance 1
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Online availability
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Free 3
Type of publication
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Book / Working Paper 3
Language
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English 3
Author
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Dhami, Sanjit 3 al-Nowaihi, Ali 3
Institution
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Department of Economics, Leicester University 3
Published in...
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Discussion Papers in Economics 3
Source
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RePEc 3
Showing 1 - 3 of 3
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Composite Prospect Theory: A proposal to combine ‘prospect theory’ and ‘cumulative prospect theory’
al-Nowaihi, Ali; Dhami, Sanjit - Department of Economics, Leicester University - 2010
Evidence shows that (i) people overweight low probabilities and underweight high probabilities, but (ii) ignore events of extremely low probability and treat extremely high probability events as certain. The main alternative decision theories, rank dependent utility (RDU) and cumulative prospect...
Persistent link: https://www.econbiz.de/10008559912
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The Behavioral Economics of Crime and Punishment
Dhami, Sanjit; al-Nowaihi, Ali - Department of Economics, Leicester University - 2010
The Becker proposition (BP) is one of the founding pillars of the modern literature on Law and Economics. It states that it is optimal to impose the severest possible punishment (to maintain effective deterrence) at the lowest possible probability (to economize on enforcement costs). The BP is...
Persistent link: https://www.econbiz.de/10008457272
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The Behavioral Economics of Insurance
al-Nowaihi, Ali; Dhami, Sanjit - Department of Economics, Leicester University - 2010
We focus on four stylized facts of behavior under risk. Decision makers: (1) Overweight low probabilities and underweight high probabilities. (2) Ignore events of extremely low probability and treat extremely high probability events as certain. (3) Buy inadequate insurance for very low...
Persistent link: https://www.econbiz.de/10008458599
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