Geographically weight seemingly unrelated regression (GWSUR): a method for exploring spatio-temporal heterogeneity

Geographically weight seemingly unrelated regression is a useful technique to explore the temporal and spatial heterogeneity simultaneously in space-time data analysis. In this article, a local linear-based estimating approach is developed to estimate the unknown coefficient functions. Some simulati...

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Veröffentlicht in:	Applied economics 2017-09, Vol.49 (42), p.4189-4195
Hauptverfasser:	Wei, Chuanhua, Liu, Chao, Gui, Fengyun
Format:	Artikel
Sprache:	eng
Schlagworte:	Data analysis Economic theory Geographically weighted regression Geography local linear method Regression analysis seemingly unrelated regression Spacetime spatial heterogeneity
Online-Zugang:	Volltext
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