Estimation of Non-Stationary Social Accounting Matrix Coefficients with Supply-Side Information
نویسندگان
چکیده
Given aggregated data, a framework for estimating the entries of a social accounting matrix (SAM), or any large matrix of expenditures, trade or income ̄ ows, 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 eVects of supply-side variables are analyzed.
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