@inbook{a648442fb04a4d8b818f7ba97df604c5,
title = "Using a structural equation model to analyze potential determinants of spatial variations in endogenous regional growth performance",
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.",
author = "Patricio Aroca and Robert Stimson and Roger Stough",
note = "Funding Information: 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. Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2014.",
year = "2014",
doi = "10.1007/978-3-642-37819-5_14",
language = "English",
series = "Advances in Spatial Science",
publisher = "Springer International Publishing",
pages = "335--360",
booktitle = "Advances in Spatial Science",
}