A Statistical Model for the Identification of Key Sectors in I-O Models
AbstractFollowing 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
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Bibliographic InfoPaper provided by European Regional Science Association in its series ERSA conference papers with number ersa04p90.
Date of creation: Aug 2004
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Find related papers by JEL classification:
- C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
- C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
- D5 - Microeconomics - - General Equilibrium and Disequilibrium
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-11-09 (All new papers)
- NEP-ECM-2005-11-09 (Econometrics)
- NEP-GEO-2005-11-09 (Economic Geography)
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- Lahiri, Sajal & Satchell, Steve, 1985. "Underestimation and overestimation of the Leontief inverse revisited," Economics Letters, Elsevier, vol. 18(2-3), pages 181-186.
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- West, Guy R, 1986. "A Stochastic Analysis of an Input-Output Model," Econometrica, Econometric Society, vol. 54(2), pages 363-74, March.
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