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Stochastic input-output modeling

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  • Gurgul, Henryk

Abstract

Input-output data (IO data) are compiled by survey methods, which are based on a sample. It is well known, that IO matrices are not stable over time. Therefore different actualizations methods have been developed. Econometric methods play important role in the realization of input-output matrices. These methods, on the basis of the relevant data, can facilitate the formulation of IO value forecasts. Established parameter and random term estimators are a source of uncertainty for IO parameters. In a historical perspective the author discusses stochastic methods in IO theory as well as their applications.

Suggested Citation

  • Gurgul, Henryk, 2007. "Stochastic input-output modeling," MPRA Paper 68573, University Library of Munich, Germany, revised 2007.
    • Handle: RePEc:pra:mprapa:68573
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    References listed on IDEAS

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    Cited by:

    1. Umed Temurshoev, 2015. "Uncertainty treatment in input-output analysis," Working Papers 2015-004, Universidad Loyola Andalucía, Department of Economics.

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    More about this item

    Keywords

    input-output; stochastic analysis;

    JEL classification:

    • E0 - Macroeconomics and Monetary Economics - - General
    • E00 - Macroeconomics and Monetary Economics - - General - - - General

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