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Semi-parametric tools for spatial hedonic models: an introduction to mixed geographically weighted regression and geoadditive models

Abstract : This chapter focuses on the contribution of semi-parametric tools such as Mixed Geographically Weighted Regression (MGWR) (Fotheringham et al. 1997) and Geoadditive Models (Hastie and Tibshirani 1993; Kammann and Wand 2003) that belong to the General Additive Models family (GAM), to explore the effects of distance regressors on price and/or spatial nonstationarity of implicit house price coefficient in hedonic functions.
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Submitted on : Saturday, June 6, 2020 - 9:26:48 PM
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  • HAL Id : hal-02823402, version 1
  • PRODINRA : 36942

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Ghislain Geniaux, Claude Napoleone. Semi-parametric tools for spatial hedonic models: an introduction to mixed geographically weighted regression and geoadditive models. Hedonic methods in housing markets: pricing environmental amenities and segregation, Springer, 2008, 978-0-387-76814-4. ⟨hal-02823402⟩

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