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A Dynamic Integration Approach in Regional Input-Output and Econometric Models

  • Motii, Bahman Brian

    (U Montevallo)

Registered author(s):

    The methodology with which regional input-output information is incorporated into an econometric model specification has recently gained attention. Although the interdependency of a region's inter-temporal economic sectors has been emphasized, the dynamic properties of these inter-sectoral relationships have not been fully incorporated. This paper presents an attempt to introduce the dynamic properties of inter-sectoral relationships among the economic sectors of a region. The result is a unique dynamic integration approach (DIA) model that not only accounts for structural change in a region's economy, but also is free from many of the inconsistencies and deficiencies associated with recent embedded-holistic models.

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    File URL: http://journal.srsa.org/ojs/index.php/RRS/article/view/107/58
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    Article provided by Southern Regional Science Association in its journal Review of Regional Studies.

    Volume (Year): 35 (2005)
    Issue (Month): 2 ()
    Pages: 139-60

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    Handle: RePEc:rre:publsh:v:35:y:2005:i:2:p:139-60
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    1. Richard S. Conway Jr., 1990. "The Washington Projection and Simulation Model: A Regional Interindustry Econometric Model," International Regional Science Review, SAGE Publishing, vol. 13(1-2), pages 141-165, April.
    2. K Moghadam & K P Ballard, 1988. "Small Area Modeling of the Industrial Sector (SAMIS): An Integrated Econometric—Interindustry Approach," Environment and Planning A, SAGE Publishing, vol. 20(5), pages 655-668, May.
    3. S J Rey, 1997. "Integrating Regional Econometric and Input—Output Models: An Evaluation of Embedding Strategies," Environment and Planning A, SAGE Publishing, vol. 29(6), pages 1057-1072, June.
    4. Rickman, Dan S. & Miller, Steven R., 2002. "An Evaluation of Alternative Strategies for Incorporating Interindustry Relationships into a Regional Employment Forecasting Model," The Review of Regional Studies, Southern Regional Science Association, vol. 32(1), pages 133-147, Winter/Sp.
    5. K Moghadam & K P Ballard, 1988. "Small area modeling of the industrial sector (SAMIS): an integrated econometric - interindustry approach," Environment and Planning A, Pion Ltd, London, vol. 20(5), pages 655-668, May.
    6. Dan S. Rickman, 2002. "A Bayesian forecasting approach to constructing regional input-output based employment multipliers," Papers in Regional Science, Springer;Regional Science Association International, vol. 81(4), pages 483-498.
    7. Glennon, Dennis & Lane, Julia & Johnson, Stanley, 1987. "Regional econometric models that reflect labor market relations," International Journal of Forecasting, Elsevier, vol. 3(2), pages 299-312.
    8. George I. Treyz & Dan S. Rickman & Gang Shao, 1991. "The REMI Economic-Demographic Forecasting and Simulation Model," International Regional Science Review, SAGE Publishing, vol. 14(3), pages 221-253, December.
    9. Dan S. Rickman, 2001. "Using Input-Output Information for Bayesian Forecasting of Industry Employment in a Regional Econometric Model," International Regional Science Review, SAGE Publishing, vol. 24(2), pages 226-244, April.
    10. S J Rey, 1997. "Integrating regional econometric and input - output models: an evaluation of embedding strategies," Environment and Planning A, Pion Ltd, London, vol. 29(6), pages 1057-1072, June.
    11. Stover, Mark Edward, 1994. "A Comparison of Annual and Benchmark Input-Output Tables in Regional Economic Modeling," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 28(2), pages 223-28.
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