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Probability distributions for economic surplus changes: the case of technical change in the Australian wool industry

Probability distributions for economic surplus changes: the case of technical change in the... Mullen, Alston and Wohlgenant (1989) (MAW) examined the distribution of the benefits of technical change in the Australian wool industry. Their conclusions are revisited by examining the probability distributions of changes in the welfare measures, given uncertainty about their model parameters. Subjective probability distributions are specified for the parameters and correlations among some of the parameters are imposed. Hierarchical distributions are also used to model diverse views about the specification of the subjective distributions. A sensitivity elasticity is defined through the estimation of a response surface to measure the sensitivity of the estimated research benefits to individual parameters. MAW’s conclusions are found to be robust under the stochastic approach to sensitivity analysis demonstrated in this article. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png The Australian Journal of Agricultural Resource Economics Wiley

Probability distributions for economic surplus changes: the case of technical change in the Australian wool industry

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References (24)

Publisher
Wiley
Copyright
Copyright © 2000 Wiley Subscription Services, Inc., A Wiley Company
ISSN
1364-985X
eISSN
1467-8489
DOI
10.1111/1467-8489.00100
Publisher site
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Abstract

Mullen, Alston and Wohlgenant (1989) (MAW) examined the distribution of the benefits of technical change in the Australian wool industry. Their conclusions are revisited by examining the probability distributions of changes in the welfare measures, given uncertainty about their model parameters. Subjective probability distributions are specified for the parameters and correlations among some of the parameters are imposed. Hierarchical distributions are also used to model diverse views about the specification of the subjective distributions. A sensitivity elasticity is defined through the estimation of a response surface to measure the sensitivity of the estimated research benefits to individual parameters. MAW’s conclusions are found to be robust under the stochastic approach to sensitivity analysis demonstrated in this article.

Journal

The Australian Journal of Agricultural Resource Economics – Wiley

Published: Mar 1, 2000

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