Multivariate Analysis In Real Estate

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1. Regression Method in Real Estate Price Index Construction A multivariate analysis is one of the ways to compute for the value of the determinants of real estate prices. “Multivariate analysis explores the association between one outcome variable (referred to as the dependent variable) and one or more predictor variables (referred to as independent variables)” [University of Michigan 2010]. The techniques in a multivariate analysis show the significance of the relationship between two or more variables. However, analysis of real estate prices is not limited to the Multivariate Analysis method. Aminah Md Yusof and Syuhaida Ismail [2012] used not only Multiple Regression Analysis, but also the Hedonic Regression Analysis. Their aim …show more content…

It has become a form of stock capital, given the expectations of increasing prices, and a means of obtaining financial gains through rental revenues and sale profits. As a consequence, the real estate market value has become a parameter of extreme importance. The estimation of a real estate value is usually done using a hedonic pricing equation according to the methodology proposed by Rosen [1974]. This is seen as a heterogeneous good comprised of a set of characteristics and it is then important to estimate an explicit function, called hedonic price function, that determines which are the most influential attributes, or attribute “package”, when it comes to determining its price. However, the estimation of a hedonic equation is not a trivial task since the theory does not determine the exact functional form nor the relevant conditioning variables [Cribari-Neto, Florencio & Ospina …show more content…

We estimate the location and scale effects semi-parametrically in such a way that some covariates (the geographical coordinates of the land lot, for instance) enter the predictor non-parametrically and their effects are estimated using smoothing splines (see Silverman, [1984]; Eubank, [1999]) whereas other regressors are included in the predictor in the usual parametric fashion. The model delivers a fit that is clearly superior to those obtained using the usual

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