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Social accounting matrix: A new estimation methodology

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  • Scandizzo, Pasquale Lucio
  • Ferrarese, Cataldo

Abstract

In this article, we present a new methodology to develop bootstrap estimates of a social accounting matrix (SAM), by combining entropy minimization and Monte Carlo simulation techniques. An application is presented to the Italian economy, demonstrating how a set of policy measures can be evaluated by incorporating the prior degree of uncertainty on the model parameters and the historical volatility in the main variables. The results of this exercise show that the methodology proposed provides specific evaluations of the policy measures considered, as well as a rich informational structure on the extension and the limitations of the inference from the data and the economic model.

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  • Scandizzo, Pasquale Lucio & Ferrarese, Cataldo, 2015. "Social accounting matrix: A new estimation methodology," Journal of Policy Modeling, Elsevier, vol. 37(1), pages 14-34.
    • Handle: RePEc:eee:jpolmo:v:37:y:2015:i:1:p:14-34
    DOI: 10.1016/j.jpolmod.2015.01.007
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    References listed on IDEAS

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    Cited by:

    1. Pasquale Lucio Scandizzo, 2021. "Impact and cost–benefit analysis: a unifying approach," Journal of Economic Structures, Springer;Pan-Pacific Association of Input-Output Studies (PAPAIOS), vol. 10(1), pages 1-13, December.
    2. Damania, Richard & Scandizzo, Pasquale Lucio, 2017. "The Serengeti ecosystem—Burden or bounty?," Journal of Policy Modeling, Elsevier, vol. 39(2), pages 185-205.
    3. Alexander Trynov, 2016. "Public-Private Investment Partnerships: Efficiency Estimation Methods," Economy of region, Centre for Economic Security, Institute of Economics of Ural Branch of Russian Academy of Sciences, vol. 1(2), pages 602-612.

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