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Dynamic Input–Output Analysis with Distributed Activities

In: Input–Output Economics: Theory And Applications Featuring Asian Economies

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  • Thijs ten Raa

Abstract

This paper offers a new approach to economic models in which activities take time. Departing from a standard economic model (Leontief's dynamic input–output model), we recast the activities from ordinary vectors into temporal distributions. In doing so, we preserve the formal structure and simplicity of the standard model. This is the secret of the power of our approach which asserts itself in the resolution of some open dynamic input–output problems. In particular, we are able to solve models with singular capital structures (i.e. singular derivatives coefficients matrices), unbalanced growth and different time profiles of investment or other production activities.

Suggested Citation

  • Thijs ten Raa, 2009. "Dynamic Input–Output Analysis with Distributed Activities," World Scientific Book Chapters, in: Input–Output Economics: Theory And Applications Featuring Asian Economies, chapter 13, pages 197-224, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789812833679_0013
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    Cited by:

    1. Shigemi Kagawa & Hajime Inamura & Yuichi Moriguchi, 2002. "The Invisible Multipliers of Joint-products," Economic Systems Research, Taylor & Francis Journals, vol. 14(2), pages 185-203, June.
    2. Andre Fernandes Tomon Avelino, 2017. "Disaggregating input–output tables in time: the temporal input–output framework," Economic Systems Research, Taylor & Francis Journals, vol. 29(3), pages 313-334, July.
    3. Sam Cole, 1994. "Cultural Accounting: An Example From A Small Caribbean Island," Contemporary Economic Policy, Western Economic Association International, vol. 12(4), pages 92-103, October.
    4. Henryk Gurgul & Łukasz Lach, 2019. "On approximating the accelerator part in dynamic input–output models," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 27(1), pages 219-239, March.
    5. Henryk Gurgul & Łukasz Lach, 2016. "Simulating evolution of interindustry linkages in endogenous dynamic IO model with layers of techniques," Metroeconomica, Wiley Blackwell, vol. 67(4), pages 632-666, November.

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