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Consistent Region-Subregion Econometric Models: A Comparison of Multiarea Methods

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  • Alberta H. Charney

    (Division of Economic and Business Research, the University of Arizona, Tucson, Arizona 85721 USA)

  • Carol A. Taylor

    (Division of Economic and Business Research, the University of Arizona, Tucson, Arizona 85721 USA)

Abstract

Questions relating to the optimal structure of state-substate multiregional models are addressed by comparing four multiarea models estimated for Arizona and its subcomponent areas. The study arrives at three major findings on structural methodology. First, greater accuracy is achieved at both the state and substate levels when the areas are estimated by a separate single-area free-standing model. Second, the multiarea model structures which maximize accuracy at the state level also maximize sub-state area accuracy. Third, few trade-offs must be made between forecasting accuracy and capability for local impact simulation. Among the multi-area models, those with some "bottom-upness' in model structure are both superior in terms of theoretical correctness and ease of simulation for local impact simulation and most accurate for forecasting.

Suggested Citation

  • Alberta H. Charney & Carol A. Taylor, 1983. "Consistent Region-Subregion Econometric Models: A Comparison of Multiarea Methods," International Regional Science Review, , vol. 8(1), pages 59-74, June.
  • Handle: RePEc:sae:inrsre:v:8:y:1983:i:1:p:59-74
    DOI: 10.1177/016001768300800104
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    References listed on IDEAS

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    6. Taylor, Carol A., 1982. "Econometric modeling of urban and other substate areas : An analysis of alternative methodologies," Regional Science and Urban Economics, Elsevier, vol. 12(3), pages 425-448, August.
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    1. Blommestein, H.J. & Nijkamp, P., 1983. "Testing the spatial scale and the dynamic structure in regional models : a contribution to spatial econometric specification analysis," Serie Research Memoranda 0016, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

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