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2012•Journal of Hunan UniversityRequires access

Analysis on the Spatial Non-stationarity of Urban Housing Pricing Factors

Jianjun Zhu

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Abstract

Applying housing feature pricing theory,the housing estate's average price in Nanjing was selected as a dependent variable in Sep.2011,and 8 factors affecting housing prices as an independent variable is quantized.Then geographically weighted regression was processed.Compared with the traditional OLS estimation,GWR model has a better fit.At the same time,it has been found that all significant factors influencing housing prices in the spatial distribution are different and the characteristics of this difference are revealed.

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What this paper is about

Applying housing feature pricing theory,the housing estate's average price in Nanjing was selected as a dependent variable in Sep.2011,and 8 factors affecting housing prices as an independent variable is quantized.Then geographically weighted regression was processed.Compared with the traditional OLS estimation,GWR model has a better fit.At the same time,it has been found that all significant factors influencing housing prices in the spatial distribution are different and the characteristics of this difference are revealed.

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Available abstract

Applying housing feature pricing theory,the housing estate's average price in Nanjing was selected as a dependent variable in Sep.2011,and 8 factors affecting housing prices as an independent variable is quantized.Then geographically weighted regression was processed.Compared with the traditional OLS estimation,GWR model has a better fit.At the same time,it has been found that all significant factors influencing housing prices in the spatial distribution are different and the characteristics of this difference are revealed.

Key concepts: Ordinary least squares, Econometrics, Real estate, Variables, Variable (mathematics), Regression analysis, Distribution (mathematics), Estimation

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