It is unclear whether decision makers who
receive forecasts expressed as probability distributions over outcomes understand
the implications of this form of communication. We suggest a solution based on
the fact that people are effective at estimating the frequency of data
accurately in environments that are characterized by plentiful, unbiased
feedback. Thus, forecasters should provide decision makers with simulation
models that allow them to experience the frequencies of potential outcomes.
Before implementing this suggestion, however, it is important to assess whether
people can make appropriate probabilistic inferences based on such simulated
experience. In an experimental program, we find that statistically
sophisticated and naïve individuals relate easily to this presentation mode,
they prefer it to analytic descriptions, and their probabilistic inferences
improve. We conclude that asking decision makers to use simulations actively is
potentially a powerful – and simplifying – method to improve the practice of
forecasting.
Website: http://www.arjonline.org/business-and-management/american-research-journal-of-business-and-management/
Website: http://www.arjonline.org/business-and-management/american-research-journal-of-business-and-management/
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