A Statistical Model for the Identification of Key Sectors in I-O Models

Marco Percoco

ERSA conference papers from European Regional Science Association

Abstract: Following the seminal work by Bullard and Sebald [Effects of Parametric Uncertainty and Technological Change on In put-Out put Models, Rev. of Ec. And Stat., vol. 59,75-81], in this paper we present an innovative approach to sensitivity analysis in Input-Out put model. In particular, we propose a statistical model capable to compute a sensitivity index associated to each technical coefficient. We call the ordered set of these indices Importance Matrix. Finally, in order to show a simple example for this methodology, we consider the case of the Chicago economy. Keywords: Input-Out put Models, Sensitivity Analysis, Importance Matrix JEL Classification: C15, C67, D5

Date: 2004-08
New Economics Papers: this item is included in nep-ecm and nep-geo
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Persistent link: https://EconPapers.repec.org/RePEc:wiw:wiwrsa:ersa04p90

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