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Policy modeling: Definition, classification and evaluation

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  • Ruiz Estrada, Mario Arturo
Abstract
This paper introduces a definition, a way of classifying and a method of evaluating policy modeling. An analytical tool called "Policy Modeling Consistency (PMC-Index)" has been developed for the purposes of evaluating policy modeling. The PMC-Index enables policy-makers and researchers to identify the level of consistency as well as the strengths and weaknesses within any policy modeling. The implementation of the PMC-Index involves the following four basic steps: (i) the use of multi-input-output table; (ii) classification of variables and identification of parameters; (iii) measurement of the PMC-Index; (iv) construction of the PMC-Surface. Through the PMC-Index, this paper promotes multidisciplinary approach to policy modeling. It suggests that various possible effects of any economic policy can be shown using a multi-dimensional graphical means.

Suggested Citation

  • Ruiz Estrada, Mario Arturo, 2011. "Policy modeling: Definition, classification and evaluation," Journal of Policy Modeling, Elsevier, vol. 33(4), pages 523-536, July.
    • Handle: RePEc:eee:jpolmo:v:33:y:2011:i:4:p:523-536
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    References listed on IDEAS

    as
    1. Estrada, Mario Arturo Ruiz & Yap, Su Fei, 2006. "The Openness Growth Monitoring Model (OGM-Model)," Journal of Policy Modeling, Elsevier, vol. 28(3), pages 235-246, April.
    2. Ruiz Estrada, Mario Arturo, 2004. "The Trade Liberalization Evaluation (TLE) Methodology," Journal of Policy Modeling, Elsevier, vol. 26(8-9), pages 1015-1029, December.
    3. Ruiz Estrada, Mario Arturo & Park, Donghyun, 2008. "Korean unification: How painful and how costly," Journal of Policy Modeling, Elsevier, vol. 30(1), pages 87-100.
    Full references (including those not matched with items on IDEAS)

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