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Impacts of Aggregation on Relative Performances of Nonsurvey Updating Techniques And Intertemporal Stability of Input–Output Coefficients

Content Provider	Springer Nature Link
Author	Jalili, Ali Reza
Copyright Year	2006
Abstract	In many instances, and for variety of reasons, input–output researchers are compelled to both employ mechanical techniques to update older survey-based tables as well as using more aggregated ones. This combination, however, gives rise to several concerns. The present paper is an attempt to investigate two such questions. First, the effects of aggregation on the accuracy ranking of selected updating methods, and second, the effects of aggregation on intertemporal stability of the input–output coefficients. To probe these issues, three updating methods were selected. These methods are NAÏVE or constant coefficient hypothesis, RAS or biproportional method, and LaGrangian optimization technique. Two survey-based tables from the former Soviet Union along with the selected updating techniques are used to generate updated target year’s direct and inverse transaction matrices at four aggregation levels. Comparison of the resultant estimates at these four levels of aggregation with their counterparts in the actual benchmark table reveals that a higher level of aggregation neither affects the rankings of the updating methods nor does it universally and unequivocally leads to a higher degree of intertemporal stability of input–output coefficients.
Starting Page	147
Ending Page	165
Page Count	19
File Format	PDF
ISSN	15739414
Journal	Economic Change and Restructuring
Volume Number	38
Issue Number	2
e-ISSN	15740277
Language	English
Publisher	Kluwer Academic Publishers-Plenum Publishers
Publisher Date	2006-04-13
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	aggregation input–output coefficients intertemporal stability of coefficients LaGrangian RAS updating methods Economic Growth Economic Systems
Content Type	Text
Resource Type	Article
Subject	Economics and Econometrics

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