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Statistical Approaches to Structural Change in Regional Interindustry Models

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  • B Ó Huallacháin

    (Department of Geography, Northwestern University, 1902 Sheridan Road, Evanston, IL 60201)

Abstract

The conventional approach to assessing structural change in regional input – output tables is to measure the impact of coefficient change on the estimation of outputs and multipliers. The methods developed and tested in this paper focus exclusively on the coefficients. Univariate and multivariate statistical analyses can be used to identify and measure various types of changes ranging from coefficient instability to changes in interindustry relationships as a system. A distinction is made between structural changes in input relationships and those in output relationships. The methods are tested by using Washington State data for the years 1963 and 1967. The results are compared with previous analyses of change in these data.

Suggested Citation

  • B Ó Huallacháin, 1986. "Statistical Approaches to Structural Change in Regional Interindustry Models," Environment and Planning A, , vol. 18(9), pages 1189-1207, September.
    • Handle: RePEc:sae:envira:v:18:y:1986:i:9:p:1189-1207
    DOI: 10.1068/a181189
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    References listed on IDEAS

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    1. David Plane & Peter Rogerson, 1986. "Dynamic flow modeling with interregional dependency effects: an application to structural change in the U.S. migration system," Demography, Springer;Population Association of America (PAA), vol. 23(1), pages 91-104, February.
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