IDEAS home Printed from https://ideas.repec.org/a/ire/issued/v12n032009p252-272.html
   My bibliography  Save this article

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

Author

Listed:
  • 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.

Suggested Citation

  • Chung-Chang Lee, 2009. "Hierarchical Linear Modeling to Explore the Influence of Satisfaction with Public Facilities on Housing Prices," International Real Estate Review, Asian Real Estate Society, vol. 12(3), pages 252-272.
  • Handle: RePEc:ire:issued:v:12:n:03:2009:p:252-272
    as

    Download full text from publisher

    File URL: http://www.umac.mo/fba/irer/papers/past/vol12n3_pdf/03_Hierarachical_Model_Housing_price.pdf
    File Function: Full text
    Download Restriction: no

    References listed on IDEAS

    as
    1. Case, Karl E. & Mayer, Christopher J., 1996. "Housing price dynamics within a metropolitan area," Regional Science and Urban Economics, Elsevier, vol. 26(3-4), pages 387-407, June.
    2. 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.
    3. Goodman, Allen C. & Thibodeau, Thomas G., 1998. "Housing Market Segmentation," Journal of Housing Economics, Elsevier, vol. 7(2), pages 121-143, June.
    4. Bourassa, Steven C. & Hoesli, Martin & Peng, Vincent S., 2003. "Do housing submarkets really matter?," Journal of Housing Economics, Elsevier, vol. 12(1), pages 12-28, March.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chun-Chang Lee & Hsueh-Ling Fan, 2016. "The Impact of Administrative Characteristics and Residential Types on Income Capitalization Rates in Taipei, Taiwan," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 6(10), pages 602-619, October.

    More about this item

    Keywords

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

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ire:issued:v:12:n:03:2009:p:252-272. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (IRER Secretary Office/Webmaster). General contact details of provider: http://www.asres.org/ .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.