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Comparison of Two Methods of Identifying Input-Output Coefficients for Exogenous Estimation

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  • Ali Reza Jalili

Abstract

Input-output (IO) updating research indicates substantial improvements in the forecasts when some of the coefficients have been exogenously estimated and included in the updating process. Several methods for identifying the appropriate subsets have been proposed. The present paper attempts to assess the relative performances of two such approaches: 'the largest coefficients' and 'the most important parameters' criteria. Utilizing these criteria, a set of coefficients from the 1966 IO table of the former Soviet Union were selected and exogenously determined. The remaining coefficients were updated to 1972 by means of naive, RAS, and Lagrangian techniques. Comparison of the results with the 1972 benchmark table provided the desired answers.

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  • 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.
    • Handle: RePEc:taf:ecsysr:v:12:y:2000:i:1:p:113-129
    DOI: 10.1080/095353100111317
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    References listed on IDEAS

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    1. 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.
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    Cited by:

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    3. Xuemei Jiang & Erik Dietzenbacher & Bart Los, 2010. "Targeting the Collection of Superior Data for the Estimation of the Intermediate Deliveries in Regional Input–Output Tables," Environment and Planning A, , vol. 42(10), pages 2508-2526, October.
    4. Georgios Lampiris & Christos Karelakis & Efstratios Loizou, 2020. "Comparison of non-survey techniques for constructing regional input–output tables," Annals of Operations Research, Springer, vol. 294(1), pages 225-266, November.
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    6. Erik Dietzenbacher & Bart Los, 2000. "Structural Decomposition Analyses with Dependent Determinants," Economic Systems Research, Taylor & Francis Journals, vol. 12(4), pages 497-514.

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