IDEAS home Printed from https://ideas.repec.org/h/spr/adspcp/978-3-642-31994-5_7.html

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

In: Defining the Spatial Scale in Modern Regional Analysis

Author

Listed:
  • 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
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    Other versions of this item:

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:adspcp:978-3-642-31994-5_7. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.