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Decision-maker expectations and the value of climate prediction information: conceptual considerations and preliminary evidence

Published online by Cambridge University Press:  17 May 2001

Bruce J Sherrick
Affiliation:
University of Illinois, Department of Agricultural and Consumer Economics, Urbana, Illinois 61801, USA
Steven T Sonka
Affiliation:
University of Illinois, Department of Agricultural and Consumer Economics, Urbana, Illinois 61801, USA
Peter J Lamb
Affiliation:
Cooperative Institute for Mesoscale Meteorological Studies and School of Meteorology, The University of Oklahoma, Norman, Oklahoma 73019, USA
Michael A Mazzocco
Affiliation:
University of Illinois, Department of Agricultural and Consumer Economics, Urbana, Illinois 61801, USA
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Abstract

This paper examines the commonly used assumption that decision-makers possess accurate prior probability information about climate events that affect their well-being, and illustrates the impact of that assumption on the valuation of prediction information. A survey of large producers in the Mid-western United States is used to recover their prior beliefs about climate variables. It is found that producers systematically misrepresent the probabilities of climate events that materially affect their well-being. In particular, the most common form of the miscalibration between actual and subjective probabilities is to overstate the likelihood of adverse events and understate the likelihood of favourable events. As a result, common methods for valuing prediction information are likely to understate the true value when recipients begin with less accurate prior beliefs.

Type
Research Article
Copyright
© 2000 Royal Meteorological Society

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