Estimation of Non-Stationary Social Accounting Matrix Coefficients with Supply-Side Information
AbstractGiven 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.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Economic Systems Research.
Volume (Year): 12 (2000)
Issue (Month): 4 ()
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