Hierarchical Linear Modeling to Explore the Influence of Satisfaction with Public Facilities on Housing Prices
AbstractThis paper uses hierarchical linear modeling (HLM) to explore the influence of satisfaction with public facilities on both individual residential and overall (or regional) levels on housing prices. The empirical results indicate that the average housing prices between local cities and counties exhibit significant variance. At the macro level, the explanatory power of the variable ¡§convenience of life¡¨ on the average housing prices of all counties and cities reaches the 5% significance level. The influence of the satisfaction with convenience of life in different counties and cities on housing prices exhibits significant variances.
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Bibliographic InfoArticle provided by Asian Real Estate Society in its journal International Real Estate Review.
Volume (Year): 12 (2009)
Issue (Month): 3 ()
Contact details of provider:
Postal: Asia Real Estate Society, 51 Monroe Street, Plaza E-6, Rockville, MD 20850, USA
Web page: http://www.asres.org/
Postal: Asian Real Estate Society, 51 Monroe Street, Plaza E-6, Rockville, MD 20850, USA
Find related papers by JEL classification:
- L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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- Bitter, Chris & Mulligan, Gordon & Dall'erba, Sandy, 2006. "Incorporating spatial variation in housing attribute prices: A comparison of geographically weighted regression and the spatial expansion method," MPRA Paper 1379, University Library of Munich, Germany.
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FAME Research Paper Series
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