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Hierarchical Linear Modeling to Explore the Influence of Satisfaction with Public Facilities on Housing Prices

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  • Chung-Chang Lee

    ()
    (National Pingtung Institute of Commerce)

Abstract

This 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 Info

Article provided by Asian Real Estate Society in its journal International Real Estate Review.

Volume (Year): 12 (2009)
Issue (Month): 3 ()
Pages: 252-272

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Handle: RePEc:ire:issued:v:12:n:03:2009:p:252-272

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Postal: Asia Real Estate Society, 51 Monroe Street, Plaza E-6, Rockville, MD 20850, USA
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Web page: http://www.asres.org/

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Postal: Asian Real Estate Society, 51 Monroe Street, Plaza E-6, Rockville, MD 20850, USA
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Web: http://www.asres.org/

Related research

Keywords: Hierarchical linear modeling; Satisfaction with public facilities; Contextual effects; Housing price.;

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  1. 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.
  2. Karl E. Case & Christopher J. Mayer, 1995. "Housing price dynamics within a metropolitan area," Working Papers 95-3, Federal Reserve Bank of Boston.
  3. Christopher Bitter & Gordon Mulligan & Sandy Dall’erba, 2007. "Incorporating spatial variation in housing attribute prices: a comparison of geographically weighted regression and the spatial expansion method," Journal of Geographical Systems, Springer, vol. 9(1), pages 7-27, April.
  4. Basu, Sabyasachi & Thibodeau, Thomas G, 1998. "Analysis of Spatial Autocorrelation in House Prices," The Journal of Real Estate Finance and Economics, Springer, vol. 17(1), pages 61-85, July.
  5. Steven C. BOURASSA & Martin HOESLI & Vincent S. PENG, 2002. "Do Housing Submarkets Really Matter?," FAME Research Paper Series rp58, International Center for Financial Asset Management and Engineering.
  6. Goodman, Allen C. & Thibodeau, Thomas G., 1998. "Housing Market Segmentation," Journal of Housing Economics, Elsevier, vol. 7(2), pages 121-143, June.
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