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On the Local Sensitivity Analysis of the Inoperability Input‐Output Model
Author(s) -
Percoco Marco
Publication year - 2011
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/j.1539-6924.2010.01574.x
Subject(s) - sensitivity (control systems) , natural disaster , extension (predicate logic) , measure (data warehouse) , connection (principal bundle) , computer science , order (exchange) , risk analysis (engineering) , operations research , engineering , economics , data mining , geography , business , meteorology , structural engineering , finance , electronic engineering , programming language
Natural and man‐made disasters are currently a source of major concern for contemporary societies. In order to understand their economic impacts, the inoperability input‐output model has recently gained recognition among scholars. In a recent paper, Percoco (2006) has proposed an extension of the model to map the technologically most important sectors through so‐called fields of influence. In the present note we aim to show that this importance measure also has a clear connection with local sensitivity analysis theory.