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An Application of the Disequilibrium Adjustment Framework to Small Area Forecasting and Impact Analysis

In: Defining the Spatial Scale in Modern Regional Analysis

Author

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  • Jae Hong Kim

    (University of California)

  • Geoffrey J. D. Hewings

    (University of Illinois)

Abstract

Regional disequilibrium adjustment frameworks, pioneered by Carlino and Mills (1987), have been widely employed for a broad range of regional and more disaggregated level research. In particular, the method has been more extensively used, after Boarnet (1994a) extended the original form of the adjustment model by introducing a spatial weight matrix into the equation system in order to explicitly consider the intrinsic spatial interdependence. So far, the applications include a variety of empirical analyses of growth dynamics, ranging from the examinations of the population-employment interaction (see e.g. Carlino and Mills 1987; Boarnet 1994b; Clark and Murphy 1996; Vias 1999) to the studies on spatial linkages (see e.g. Henry et al. 1997, 1999, 2001; Feser and Isserman 2005) and the investigations on development policy issues (see e.g. Bollinger and Ihlanfeldt. 1997; Edmiston 2004; Ke and Feser 2010).

Suggested Citation

  • Jae Hong Kim & Geoffrey J. D. Hewings, 2012. "An Application of the Disequilibrium Adjustment Framework to Small Area Forecasting and Impact Analysis," Advances in Spatial Science, in: Esteban Fernández Vázquez & Fernando Rubiera Morollón (ed.), Defining the Spatial Scale in Modern Regional Analysis, edition 127, chapter 0, pages 139-155, Springer.
    • Handle: RePEc:spr:adspcp:978-3-642-31994-5_7
    DOI: 10.1007/978-3-642-31994-5_7
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