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By William Peterson

Input-output research, built via Nobel Prize winner Wassily Leontief, remains to be an important quarter of analysis. not just do lecturers locate it a strong software in figuring out how huge scale economies--especially nationwide economies--work, yet many governments hold desktop input-output versions to check their very own economies. this crucial quantity of labor comprises the newest examine utilizing the I-O version, focusing totally on expertise, making plans, and improvement. The ebook derives from a convention held in Sapporo, Japan, in July, 1986.

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Extra resources for Advances in Input-Output Analysis: Technology, Planning, and Development

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Statistical Basis Strict application of SNA and ESA recommendations for I-O compilation has caused problems for many countries, since the statistical basis is inappropriate or even missing. Thus, as a third objective of revising I-O, the concepts should take into account the available data. This would be the case particularly if I-O compilation concentrates on observable facts and if the macro concepts of NA measures are aligned more closely to (micro) business accountancy concepts (see Lutzel, 1985; Ruggles and Ruggles, 1982; van Bochove and van Tuinen, 1985).

We thus have in effect the relation We may write this or Taking expectations, and assuming eA,eB, er are independent random errors with zero mean, we have or or The corresponding forms for correlated errors can also be easily be computed. It is to be noted, however, that while the relation will hold on the average, the error components will disturb specific cases depending on their size. If, however, we assume that the error components are also linear functions of time, then we have, on the assumption that &A = EA(Q) + f$A(l) Separating this expression into two components, one involving t and the other involving e,-(0), we have 22 Theoretical Developments in Input-Output Analysis Again taking expectations we will be left with the original relationship, along with a variance or covariance component for the product of the E;'S, as well as a linear component of the errors in e f (f).

We wish to thank Ronald Miller, Frank Giarratani, Jan Oosterhaven, Faye Duchin, and H. Craig Davis for their helpful comments on earlier drafts of the paper. We accept responsibility for any remaining errors and omissions. 6. See Gruver (1989) for a linear programming formulation of the supply-side model that constrains coefficient changes. 7. , Oosterhaven, 1988). This analysis is not intended as a policy simulation of the impact of an aluminum restriction, but as a straightforward test of the joint stability property.

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