2011Systems Engineering - Theory & PracticeRequires access

An empirical analysis on spatial effects of the housing price based on spatial econometric models:Evidence from Hangzhou City

Ling Zhang

Open publisher page 4 citations

Abstract

Applying spatial autocorrelation Moran's index and techniques of spatial econometrics,the spatial effects and determinants of urban housing prices were studied.With micro housing data of 317 communities in Hangzhou in 2008,the spatial lag model and spatial error model based on hedonic price method were constructed.The results show that significant spatial effects exist in housing prices,and the results derived from spatial econometric models are apparently superior to that traditional model. Accordingly,spatial econometric models improve the effectiveness and robustness of the hedonic price model.

About this research paper

What this paper is about

Applying spatial autocorrelation Moran's index and techniques of spatial econometrics,the spatial effects and determinants of urban housing prices were studied.With micro housing data of 317 communities in Hangzhou in 2008,the spatial lag model and spatial error model based on hedonic price method were constructed.The results show that significant spatial effects exist in housing prices,and the results derived from spatial econometric models are apparently superior to that traditional model. Accordingly,spatial econometric models improve the effectiveness and robustness of the hedonic price model.

Why it matters

OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Applying spatial autocorrelation Moran's index and techniques of spatial econometrics,the spatial effects and determinants of urban housing prices were studied.With micro housing data of 317 communities in Hangzhou in 2008,the spatial lag model and spatial error model based on hedonic price method were constructed.The results show that significant spatial effects exist in housing prices,and the results derived from spatial econometric models are apparently superior to that traditional model. Accordingly,spatial econometric models improve the effectiveness and robustness of the hedonic price model.

Key concepts: Econometrics, Spatial econometrics, Spatial analysis, Econometric model, Lag, Economics, Spatial dependence, Robustness (evolution)

Related papers

Back to paper searchBrowse research topicsOriginal source
An empirical analysis on spatial effects of the housing price based on spatial econometric models:Evidence from Hangzhou City — Research Paper | ScholarLens