Our aim is to analyze the link between optimism and risk aversion in a subjective expected utility setting and to estimate the average level of optimism when weighted by risk tolerance. Its estimation leads to a non-trivial statistical problem. We start from a large lottery survey (1536 individuals). We assume that individuals have true unobservable characteristics. We adopt a Bayesian approach and use a hybrid MCMC approximation method to numerically estimate the distributions of the unobservable characteristics. We find that individuals are on average pessimistic and that pessimism and risk tolerance are positively correlated. Copyright (C) 2008 John Wiley & Sons, Ltd.
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College of Automation Engineering, Nanjing University of Aeronautics and AstronauticsCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics
Chuang Chen
Ningyun Lu
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IEEE
College of Automation Engineering, Nanjing University of Aeronautics and AstronauticsCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics
Ningyun Lu
Bin Jiang
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IEEE
College of Automation Engineering, Nanjing University of Aeronautics and AstronauticsCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics
Bin Jiang
Cunsong Wang
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IEEE
College of Automation Engineering, Nanjing University of Aeronautics and AstronauticsCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics