Abstract

Fueled by the high costs of survey-based models and the inherent inaccuracies of non-survey models, a literature has emerged on hybrid regional input–output models. Although this literature has been instructive on the general approach that should be taken in the construction of such models, authors have provided little information about the precise methods they have used to idenfy. the portions of the models for which superior data are worth the effort to obtain. In addition, the role of non-survey techniques used to produce survey-based tables has not been well articulated in the literature. This paper reviews approaches that have been used in input—output analysis that might be adopted for use in constructing hybrid input–output models. It is argued that hybrid model constructors should pursue the most accurate non-survey model of their region as possible (use accurate regional purchase coefficients and minimize aggregation), always seek superior data for households and establishments in resource-based ...

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