The Identification of Structure at the Sectoral level: A Reformulation of the Hirschman-Rasmussen Key Sector Indices

Federico A. Cuello, Faycal Mansouri, Geoffrey J.D. Hewings

Research output: Contribution to journalArticlepeer-review

Abstract

The Hirschman-Rasmussen key sector identification indices are reformulated to correct for their sensitivity to large multiplier values in the Leontief inverse matrix. This leads to four results: (1) the generalized key sector indices; (2) the generalized coefficients of variation; (3) a likelihood ratio test, obtained from computing the likelihood function of each sample of Cauchy-distributed indices; and (4) the elasticity of intermediate sectoral supply response. Empirical analysis reveals that the methods proposed identify more accurately the structure of Washington State, while not capturing the spread of the linkages associated with that structure.

Original languageEnglish (US)
Pages (from-to)285-296
Number of pages12
JournalEconomic Systems Research
Volume4
Issue number4
DOIs
StatePublished - Jan 1 1992

ASJC Scopus subject areas

  • Economics and Econometrics

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