Using a Structural Equation Model to Analyze Potential Determinants of Spatial Variations in Endogenous Regional Growth Performance

  • Patricio ArocaEmail author
  • Robert Stimson
  • Roger Stough
Part of the Advances in Spatial Science book series (ADVSPATIAL)


There have been relatively few attempts to develop operational models explicitly designed to measure endogenous regional economic performance and to identify those factors that potentially might explain spatial variations in that performance across a national space economy. This chapter does that by experimenting with structural equation modelling as an alternative to the commonly used ordinary least square (OLS) regression modelling.


Social Capital Human Capital Structural Equation Modelling Ordinary Less Square Endogenous Growth 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The research on which this chapter relates to a broader program of research into modelling endogenous regional economic performance supported by the Australian Research Council (grant# DP0879819), Nucleus of the Millennium Science Initiative Program “Regional Sciences and Public Policy” (from Ministry of Economics, Chile), FONDECYT project # 1111061, Chile, and the George Mason University Foundation in the U.S.


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© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Business SchoolUniversidad Adolfo IbáñezViña del MarChile
  2. 2.Australian Urban Research Infrastructure Network, Faculty of Architecture, Building and PlanningUniversity of MelbourneParkvilleAustralia
  3. 3.School of Public PolicyGeorge Mason UniversityFairfaxUSA

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