Statistical approaches to structural change in regional interindustry models.

Breandan O'Huallachain

Statistical approaches to structural change in regional interindustry models.

Research output: Chapter in Book/Report/Conference proceeding › Chapter

Abstract

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. -from Author

Original language	English (US)
Title of host publication	Environment & Planning A
Pages	1189-1207
Number of pages	19
Volume	18
Edition	9
State	Published - 1986
Externally published	Yes

ASJC Scopus subject areas

General Earth and Planetary Sciences
General Environmental Science

Cite this

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abstract = "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. -from Author",

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Statistical approaches to structural change in regional interindustry models.

Abstract

ASJC Scopus subject areas

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