Model selection criteria: an investigation of relative accuracy, posterior probabilities, and combinations of criteria
Article Abstract:
The use of empirical criteria in the evaluation and selection of quantitative models from a candidate set is investigated. This is done through a parameter-based simulation that is used to determine which criteria are most reliable in identifying the right model specification. This simulation, which is made up of both nonnested and nested linear regression models, is also used to obtain probability estimates of the alternative models in the candidate set. It is then used to assess the relative information content, bias and accuracy of the probabilities derived. A method for securing a joint prediction from various criteria combinations is also proposed. The method's effect on the improvement of selection reliability is evaluated as well. Based on simulation results, it is determined that leading criteria perform well in best model selection and that several of these criteria are useful in providing accurate probabilities of model superiority.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1995
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Eliciting von Neumann-Morgenstern utilities when probabilities are distorted or unknown
Article Abstract:
The tradeoff method is proposed as a tool for eliciting von Neumann-Morgenstern utilities in decision under risk or uncertainty. Otherwise known as the gamble-tradeoff method, it is robust against probability distortions and misconceptions, which usually result in violations of expected utility and produce inconsistencies in utility elicitation. The method therefore maintains complete validity under prospect theory, rank-dependent utility, and the cumulative prospect theory. When tested for monetary outcomes and for outcomes describing life-duration, the method shows higher risk aversion for life duration although it engenders similar utility curvature. The higher risk aversion for life duration seems to be the result of greater deviations from expected utility.
Publication Name: Management Science
Subject: Business, general
ISSN: 0025-1909
Year: 1996
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