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Estimation of Non-Stationary Social Accounting Matrix Coefficients with Supply-Side Information

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  • Amos Golan
  • Stephen Vogel

Abstract

Given aggregated data, a framework for estimating the entries of a social accounting matrix (SAM), or any large matrix of expenditures, trade or income flows, is developed. Under this framework it is possible to evaluate the contribution of structural and supply-side information, as well as policy variables, within the generalized context of a non-stationary SAM. Inference and diagnostic properties are developed as well. This new estimator can be viewed as a generalized maximum likelihood estimator. Stationary and non-stationary estimates of the US SAM for the years 1987-1994 together with the effects of supply-side variables are analyzed.

Suggested Citation

  • Amos Golan & Stephen Vogel, 2000. "Estimation of Non-Stationary Social Accounting Matrix Coefficients with Supply-Side Information," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 447-471.
    • Handle: RePEc:taf:ecsysr:v:12:y:2000:i:4:p:447-471
    DOI: 10.1080/09535310020003775
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    References listed on IDEAS

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