IDEAS home Printed from https://ideas.repec.org/a/pkp/ijomas/v1y2012i2p31-44id913.html
   My bibliography  Save this article

The Impact of Neighborhood Characteristics on Housing Prices-An Application of Hierarchical Linear Modeling

Author

Listed:
  • Lee Chun Chang
  • Hui-Yu Lin

Abstract

Housing data are of a nested nature as houses are nested in a village, a town, or a county. This study thus applies HLM (hierarchical linear modelling) in an empirical study by adding neighborhood characteristic variables into the model for consideration. Using the housing data of 31 neighborhoods in the Taipei area as analysis samples and three HLM sub-models, this study discusses the impact of neighborhood characteristics on house prices. The empirical results indicate that the impact of various neighborhood characteristics on average housing prices is different and that the impact of house characteristics on house prices is also moderated by neighborhood characteristics.

Suggested Citation

  • Lee Chun Chang & Hui-Yu Lin, 2012. "The Impact of Neighborhood Characteristics on Housing Prices-An Application of Hierarchical Linear Modeling," International Journal of Management and Sustainability, Conscientia Beam, vol. 1(2), pages 31-44.
    • Handle: RePEc:pkp:ijomas:v:1:y:2012:i:2:p:31-44:id:913
    as

    Download full text from publisher

    File URL: https://archive.conscientiabeam.com/index.php/11/article/view/913/1293
    Download Restriction: no
    ---><---

    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.
    2. Yigong Hu & Binbin Lu & Yong Ge & Guanpeng Dong, 2022. "Uncovering spatial heterogeneity in real estate prices via combined hierarchical linear model and geographically weighted regression," Environment and Planning B, , vol. 49(6), pages 1715-1740, July.

    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:pkp:ijomas:v:1:y:2012:i:2:p:31-44:id:913. See general information about how to correct material in RePEc.

    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.

    We have no bibliographic references for this item. You can help adding them by using 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.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dim Michael (email available below). General contact details of provider: https://archive.conscientiabeam.com/index.php/11/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.