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A Note on the Inoperability Input‐Output Model

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  • Marco Percoco

Abstract

In this note, we propose some comments and some extensions of the inoperability input‐output model (IIOM), as recently proposed by Santos and Haimes (2004). In particular, we propose the use of some analytic tools capable of providing information on the reaction of sectors subsequent to a terrorist attack on infrastructure service sectors. These tools, namely, the field of influence and the multiplier product matrix, provide information on the way sectors react to a shock on the aggregate demand and/or to a (temporary or permanent) change of production function coefficients. Finally, using the 2003 65 sectors input‐output matrix for the U.S. economy, a simple empirical example is presented.

Suggested Citation

  • Marco Percoco, 2006. "A Note on the Inoperability Input‐Output Model," Risk Analysis, John Wiley & Sons, vol. 26(3), pages 589-594, June.
    • Handle: RePEc:wly:riskan:v:26:y:2006:i:3:p:589-594
    DOI: 10.1111/j.1539-6924.2006.00765.x
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    References listed on IDEAS

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    1. Marco Percoco & Geoffrey Hewings & Lanfranco Senn, 2006. "Structural change decomposition through a global sensitivity analysis of input-output models," Economic Systems Research, Taylor & Francis Journals, vol. 18(2), pages 115-131.
    2. James Harrigan & Philippe Martin, 2002. "Terrorism and the Resilience of Cities," Sciences Po Economics Publications (main) hal-01038083, HAL.
    3. repec:spo:wpecon:info:hdl:2441/9286 is not listed on IDEAS
    4. Michael Sonis & J. D. Hewings & Jiemin Guo, 2000. "A New Image of Classical Key Sector Analysis: Minimum Information Decomposition of the Leontief Inverse," Economic Systems Research, Taylor & Francis Journals, vol. 12(3), pages 401-423.
    5. James Harrigan & Philippe Martin, 2002. "Terrorism and the resilience of cities," Economic Policy Review, Federal Reserve Bank of New York, vol. 8(Nov), pages 97-116.
    6. Tavares, Jose, 2004. "The open society assesses its enemies: shocks, disasters and terrorist attacks," Journal of Monetary Economics, Elsevier, vol. 51(5), pages 1039-1070, July.
    7. Sonis, Michael & Hewings, Geoffrey J.D., 1998. "Temporal Leontief Inverse," Macroeconomic Dynamics, Cambridge University Press, vol. 2(1), pages 89-114, March.
    8. Jason Bram & James A. Orr & Carol Rapaport, 2002. "Measuring the effects of the September 11 attack on New York City," Economic Policy Review, Federal Reserve Bank of New York, vol. 8(Nov), pages 5-20.
    9. Jason Bram & Andrew Haughwout & James Orr, 2004. "Has September 11 Affected New York City’s Growth Potential?," Advances in Spatial Science, in: Yasuhide Okuyama & Stephanie E. Chang (ed.), Modeling Spatial and Economic Impacts of Disasters, chapter 4, pages 53-73, Springer.
    10. repec:spo:wpmain:info:hdl:2441/9286 is not listed on IDEAS
    11. Donald R. Davis & David E. Weinstein, 2002. "Bones, Bombs, and Break Points: The Geography of Economic Activity," American Economic Review, American Economic Association, vol. 92(5), pages 1269-1289, December.
    12. Andrea Saltelli, 2002. "Sensitivity Analysis for Importance Assessment," Risk Analysis, John Wiley & Sons, vol. 22(3), pages 579-590, June.
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    Cited by:

    1. Wenping Xu & Zongjun Wang & Liu Hong & Ligang He & Xueguang Chen, 2015. "The uncertainty recovery analysis for interdependent infrastructure systems using the dynamic inoperability input–output model," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(7), pages 1299-1306, May.
    2. Krista Danielle S. Yu & Raymond R. Tan & Kathleen B. Aviso & Michael Angelo B. Promentilla & Joost R. Santos, 2014. "A Vulnerability Index For Post-Disaster Key Sector Prioritization," Economic Systems Research, Taylor & Francis Journals, vol. 26(1), pages 81-97, March.

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