TY - CONF T1 - Is there room for another hedonic model? –The advantages of the GAMLSS approach in real estate research. T2 - 24th Annual European Real Estate Society Conference Y1 - 2017 A1 - Marcelo Cajias KW - GAM KW - GAMLSS KW - Hedonic Modelling KW - Out-of-sample bootstrap KW - Residential Housing AB -

Hedonic modelling is essential for institutional investors, researchers and urban policy-makers in order to identify the factors affecting the value and future development of rents over time and space. While statistical models in this field have advanced substantially over the last decades, new statistical approaches have emerged expanding the conventional understanding of real estate markets. This paper explores the in-sample explanatory and out-of-sample forecasting accuracy of the Generalized Additive Model for Location, Scale and Shape (GAMLSS) model in contrast to traditional methods in Munich’s residential market. The results show that the complexity of asking rents in Munich is more accurately captured by the GAMLSS approach, leading to a significant increase in the out-of-sample forecasting accuracy.

JA - 24th Annual European Real Estate Society Conference T3 - ERES: Conference CY - Delft, Netherlands J1 - Conference: 2017 ID - oai-eres.id-eres2017_226 M3 - 10.15396/eres2017_226 ER -