The Geographic Diversity of U.S. Nonmetropolitan Growth Dynamics: A Geographically Weighted Regression Approach.

Spatial heterogeneity is introduced as an explanation for local-area growth mechanisms, especially employment growth. As these effects are difficult to detect using conventional regression approaches, we use Geographically Weighted Regressions (GWR) for non-metropolitan U.S. counties. We test for ge...

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Publicado en:Land Economics Vol. 84; no. 2; pp. 241 - 267
Autores principales: Partridge, Mark D., Rickman, Dan S., Ali, Kamar, Olfert, M. Rose
Formato: Artículo
Publicado: University of Wisconsin Press May 2008
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: The Geographic Diversity of U.S. Nonmetropolitan Growth Dynamics: A Geographically Weighted Regression Approach.
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          Partridge, Mark D.
          Rickman, Dan S.
          Ali, Kamar
          Olfert, M. Rose
      su:
        Mathematical models of urban growth
        Geography -- Methodology
        Geography -- Statistical methods
        Regression analysis
        Mathematical geography
        United States
      sug:
        subj:
          United States
          Mathematical models of urban growth
          Geography -- Methodology
          Geography -- Statistical methods
          Regression analysis
          Mathematical geography
      ab: Spatial heterogeneity is introduced as an explanation for local-area growth mechanisms, especially employment growth. As these effects are difficult to detect using conventional regression approaches, we use Geographically Weighted Regressions (GWR) for non-metropolitan U.S. counties. We test for geographic heterogeneity in the growth parameters and compare them to global regression estimates. The results indicate significant heterogeneity in the regression coefficients across the country, most notably for amenities and college graduate shares. Using GWR also exposes significant local variations that are masked by global estimates suggesting limitations of a one-size-fits-all approach to describe growth and to inform public policy. Reprinted by permission of the publisher.
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    language: English
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