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

Patricio Aroca, Robert Stimson () and Roger Stough ()
Additional contact information
Robert Stimson: University of Melbourne
Roger Stough: George Mason University

Chapter Chapter 14 in Applied Regional Growth and Innovation Models, 2014, pp 335-360 from Springer

Abstract: Abstract 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.

Keywords: Social Capital; Human Capital; Structural Equation Modelling; Ordinary Less Square; Endogenous Growth (search for similar items in EconPapers)
Date: 2014
References: Add references at CitEc
Citations: View citations in EconPapers (1)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:adspcp:978-3-642-37819-5_14

Ordering information: This item can be ordered from
http://www.springer.com/9783642378195

DOI: 10.1007/978-3-642-37819-5_14

Access Statistics for this chapter

More chapters in Advances in Spatial Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().