Generating Models by the Expansion Method: Applications to Geographical Research*

By E. Casetti. 2010

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Estimation And Hypothesis Testing For Nonparametric Hedonic House Price Functions (2010, unknown): “(3) 2The model is similar in spirit to the spatial expansion model of Casetti (1972), in which a linear model’s coefficients are expressed as a function of a spatial dataset’s geographic coordinates.”
Estimating regional variations of R&D effects on productivity growth by entropy econometrics (2009, methodology): “Previous solutions have been proposed to capture this spatial drift from the global model: the geographically weighted regression (GWR, see Brundson et al., 1996) which can be seen as an extension of the parameter expansion method (Casetti, 1972).”
Local Linear Estimation of Spatially Varying Coefficient Models: An Improvement on the Geographically Weighted Regression Technique (2008, methodology): “The seminal monograph by Fotheringham et al (2002) has systematically summarized the basic theory and statistical inference problems of GWR and addressed some extensions of the GWR technique to generalized linear models, principal component analysis, and so on. The multicollinearity and correlation ”
Estimation of Sample Selection Models with Spatial Dependence (2012, background): “However, note that the "adjusted" IMR in (10) depends on a parameter that is not estimated in the first step: γ, which is included in the weights ω(2)ij.”