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

  • Amos Golan
  • Stephen Vogel

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.

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Article provided by Taylor & Francis Journals in its journal Economic Systems Research.

Volume (Year): 12 (2000)
Issue (Month): 4 ()
Pages: 447-471

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Handle: RePEc:taf:ecsysr:v:12:y:2000:i:4:p:447-471
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  1. Golan, Amos & Judge, George & Robinson, Sherman, 1994. "Recovering Information from Incomplete or Partial Multisectoral Economic Data," The Review of Economics and Statistics, MIT Press, vol. 76(3), pages 541-49, August.
  2. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
  3. Mun-Heng Toh, 1998. "The RAS Approach in Updating Input-Output Matrices: An Instrumental Variable Interpretation and Analysis of Structural Change," Economic Systems Research, Taylor & Francis Journals, vol. 10(1), pages 63-78.
  4. Ali Reza Jalili, 2000. "Comparison of Two Methods of Identifying Input-Output Coefficients for Exogenous Estimation," Economic Systems Research, Taylor & Francis Journals, vol. 12(1), pages 113-129.
  5. Golan, Amos & Judge, George G. & Miller, Douglas, 1996. "Maximum Entropy Econometrics," Staff General Research Papers 1488, Iowa State University, Department of Economics.
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