Can Geographically Weighted Regressions Improve Regional Analysis and Policy Making?

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Geographically weighted regression with a non-Euclidean distance metric: a case study using hedonic house price data (2014, background): “…(e.g. Bitter et al. 2007, Páez et al. 2008); (2) regional economics (e.g. Yu 2006, Öcal and Yildirim 2010); (3) urban and regional analysis (e.g. Ali et al. 2007, Noresah and Ruslan 2009); (4) sociology (e.g. Jordan 2006, Cho and Gimpel 2009, Lee et al. 2009); and (5) ecology and environmental…”
Geographically Weighted Regression Using a Non-Euclidean Distance Metric with a Study on London House Price Data (2011, methodology): “This technique has been applied broadly in economics[5-8], sociology [9-11], urban and regional analysis [12-15], ecology and environment [16-20], etc.”
A Simulation-Based Study of Geographically Weighted Regression as a Method for Investigating Spatially Varying Relationships (2011, background): “The power of local relationships for assessing policy and generating knowledge is perhaps one of the reasons why the approach has become popular (see Ali et al, 2007).”
Landscape amenities and local development: a review of migration, regional economic and hedonic pricing studies (2010, background): “Ali et al. (2007), Boarnet et al. (2005), Ferguson et al. (2007), Gottlieb (1995), Kim et al. (2005) and Nzaku and Bukenya (2005) applied spatial econometric models such as spatial lag or error models, which explicitly incorporate spatial effects (see e.g. Anselin, 1988, 2002; Anselin and Bera,…”