This study estimates a hedonic price function using a semiparametric regression based on Penalized Spline Smoothing, and compares the price prediction performance with conventional parametric models. The excellent results obtained show that the semiparametric models allow to obtain a significant improvement in the prediction of housing sales prices
Hedonic housing price indices are computed from estimated hedonic pricing models. The commonly used ...
Conventional parametric techniques for estimating hedonic price models require a correct functional ...
The Hedonic Price Method (HPM), also known as hedonic regression, is used for estimating the value o...
This study estimates a hedonic price function using a semiparametric regression based on Penalized S...
This study estimates a hedonic price function using a semiparametric regression based on Penalized S...
The exact prediction of housing selling prices is a relevant issue for real estate market, also to e...
Haupt H, Schnurbus J, Tschernig R. On nonparametric estimation of a hedonic price function. Journal ...
Recently, using data on Canadian housing, Parmeter, Henderson, and Kumbhakar (2007) found that a non...
Most researchers use parametric models involving specific functional forms in estimating hedonic hou...
In this paper a hedonic price function built through a semiparametric additive model is tried out fo...
Housing price indexes are generally computed using variants of hedonic housing price models. The com...
Hedonic analysis is gaining acceptance as a tool for quality adjustment in goods and services in off...
Parametric specifications for hedonic price equations are estimated using a data set from Alameda an...
Hedonic models have been widely used in the literature for valuation of non- market goods such as ai...
This paper develops a simple method for measuring the residual house price volatility, namely, the h...
Hedonic housing price indices are computed from estimated hedonic pricing models. The commonly used ...
Conventional parametric techniques for estimating hedonic price models require a correct functional ...
The Hedonic Price Method (HPM), also known as hedonic regression, is used for estimating the value o...
This study estimates a hedonic price function using a semiparametric regression based on Penalized S...
This study estimates a hedonic price function using a semiparametric regression based on Penalized S...
The exact prediction of housing selling prices is a relevant issue for real estate market, also to e...
Haupt H, Schnurbus J, Tschernig R. On nonparametric estimation of a hedonic price function. Journal ...
Recently, using data on Canadian housing, Parmeter, Henderson, and Kumbhakar (2007) found that a non...
Most researchers use parametric models involving specific functional forms in estimating hedonic hou...
In this paper a hedonic price function built through a semiparametric additive model is tried out fo...
Housing price indexes are generally computed using variants of hedonic housing price models. The com...
Hedonic analysis is gaining acceptance as a tool for quality adjustment in goods and services in off...
Parametric specifications for hedonic price equations are estimated using a data set from Alameda an...
Hedonic models have been widely used in the literature for valuation of non- market goods such as ai...
This paper develops a simple method for measuring the residual house price volatility, namely, the h...
Hedonic housing price indices are computed from estimated hedonic pricing models. The commonly used ...
Conventional parametric techniques for estimating hedonic price models require a correct functional ...
The Hedonic Price Method (HPM), also known as hedonic regression, is used for estimating the value o...
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