We develop a method based on the additive perturbation of a nonnegative irreducible matrix to analyze its sensitivity. Bounds for the norm of the difference between the perturbed right eigenvector and the initial one, and bounds for the difference between the perturbed principal eigenvalue and the i
Policy analysis matrices: beyond simple sensitivity analysis
โ Scribed by Jamie Morrison; Kelvin Balcombe
- Book ID
- 102351780
- Publisher
- John Wiley and Sons
- Year
- 2002
- Tongue
- English
- Weight
- 166 KB
- Volume
- 14
- Category
- Article
- ISSN
- 0954-1748
- DOI
- 10.1002/jid.887
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โฆ Synopsis
Abstract
As an analytical methodology, the Policy Analysis Matrix (PAM) can be used to provide indicators of the incentives faced by producers in a given policy and institutional environment. However, the methodology suffers from the limitation that the analyst is unable to attach any level of confidence to the results, other than that generated through sensitivity analysis. In this paper the technique of bootstrapping is introduced as a general method for assessing the degree of uncertainty surrounding indicators derived from PAMs. The example of wheat production in Slovakia is used to demonstrate the usefulness of the additional information generated by this approach. Copyright ยฉ 2002 John Wiley & Sons, Ltd.
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