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Additive Hedonic Regression Models with Spatial Scaling Factors: An Application for Rents in Vienna

Brunauer, W. A. ; Lang, S. ; Wechselberger, P. ; Bienert, Sven



Abstract

This paper is motivated by two common challenges in hedonic price modeling: nonlinear price functions, which require flexible modeling approaches, and the inherent spatial heterogeneity in real estate markets. We apply additive mixed regression models (AMM) to estimate hedonic price equations for rents in Vienna. Non-linear effects of continuous covariates as well as a smooth time trend are ...

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