The Composition of Hedonic Pricing Models

By G. Sirmans, D. Macpherson, E. Zietz. 2009

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Consumption preferences and environmental externalities: A hedonic analysis of the housing market in Guangzhou (2007, background): “The market price is composed of a basket of individual value components, such as unit size, quality, location, and outdoor environmental attributes (Lancaster, 1966; Palmquist, 1991; Cheshire and Sheppard, 1998; Sheppard, 1999; Freeman, 2003; Paggourtzi et al., 2003; Sirmans et al., 2005).”
Geographically and temporally weighted regression for modeling spatio-temporal variation in house prices (2010, background): “According to Sirmans et al. (2005), using the observed price is generally considered to be more suitable for minimizing the bias than other measures such as an owner’s self-assessment.”
Wind Energy Facilities and Residential Properties: The Effect of Proximity and View on Sales Prices (2011, methodology): “34 To benchmark the results against those of other practitioners the research by Sirmans et al. (2005a; 2005b) was consulted.”
Modelling hedonic residential rents for land use and transport simulation while considering spatial effects (2010, background): “While there are many international studies on hedonic house and apartment transaction prices (for a comprehensive review of around 125 studies, see Sirmans et al. 2005), only few studies have focusedon residential rents. ose rent studies either use thenet annual ormonthly rent (Baranzini andRamirez…”