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Modeling Temporal Change In Flow Matrices

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  • Peter A. Rogerson
  • David A. Plane

Abstract

ABSTRACT Regional analysts are often faced with the task of forecasting future flows. The ability to carry out such a task is often limited to a reliance on either a Markovian assumption or other techniques that use only one or two observed flow matrices. This paper explores alternative methods that may be used to combine the information contained in an observed temporal sequence of flow matrices. Information theoretic principles, lag structures, and constant causative matrix operators are among the techniques discussed. These methods are applied and evaluated using inter‐regional migration flow data for the United States.

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  • Peter A. Rogerson & David A. Plane, 1984. "Modeling Temporal Change In Flow Matrices," Papers in Regional Science, Wiley Blackwell, vol. 54(1), pages 147-164, January.
    • Handle: RePEc:bla:presci:v:54:y:1984:i:1:p:147-164
    DOI: 10.1111/j.1435-5597.1984.tb00821.x
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    Cited by:

    1. Jaewon Lim, 2017. "Out-migration from the epicenters of the housing bubble burst during and in the aftermath of the Great Recession in the USA," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 59(2), pages 297-319, September.
    2. Yongming Huang & Jamal Khan & Eric Girardin & Umair Shad, 2021. "The Role of the Real Estate Sector in the Structural Dynamics of the Chinese Economy: An Input–Output Analysis," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 29(1), pages 61-86, January.
    3. David Plane & Peter Rogerson, 1986. "Dynamic flow modeling with interregional dependency effects: an application to structural change in the U.S. migration system," Demography, Springer;Population Association of America (PAA), vol. 23(1), pages 91-104, February.
    4. Yongming Huang & Mohammad Haseeb & Jamal Khan & Md. Emran Hossain, 2023. "Structural changes and economic landscape of the Indian economy: 2000‐2019," Review of Development Economics, Wiley Blackwell, vol. 27(1), pages 395-422, February.
    5. Jaewon Lim & Jae Hong Kim, 2019. "Joint Determination of Residential Relocation and Commuting: A Forecasting Experiment for Sustainable Land Use and Transportation Planning," Sustainability, MDPI, vol. 11(1), pages 1-24, January.
    6. Yongming Huang & Jamal Khan, 2022. "Has the information and communication technology sector become the engine of China’s economic growth?," Review of Development Economics, Wiley Blackwell, vol. 26(1), pages 510-533, February.
    7. Hierro, Mara & Maza, Adolfo, 2009. "Structural shifts in the dynamics of the European income distribution," Economic Modelling, Elsevier, vol. 26(3), pages 733-739, May.

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