IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Login to save this book or follow this series

Statistiques spatiales et étude immobilière

  • Batsch, Laurent
  • Srikhum, Piyawan
Registered author(s):

    Geostatistics and spatial econometrics are two spatial statistical approaches used to deal with spatial dependence. Geostatistics estimates directly the variance-covariance matrix by assuming that the covariance among observations depends inversely on the distance between their locations, called the covariogram. Spatial econometrics defines and integrates the spatial interaction matrix in a hedonic regression model. In real estate, price estimation should take into account these spatial characteristics because property prices are correlated. Hence, these two approaches are commonly used to study the spatial dependence of the real estate prices in many contexts. However, a definite rule in selection these statistic approaches has not been established. This thesis examined these two approaches in order to distinguish the similarities, differences, advantages, and disadvantages of each methodology. Some examples of their applications in a real estate study. The geostatistics is used to analyze the stationarity of the variogram and its sensitivity depending on the parameters added in hedonic estimation. The spatial econometric is used to define econometrically the real estate market dominant area.

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL: http://basepub.dauphine.fr/xmlui/bitstream/123456789/10864/1/These_PiyawanSrikhum_versioncomplet.pdf
    Download Restriction: no

    as
    in new window

    This book is provided by Paris Dauphine University in its series Economics Thesis from University Paris Dauphine with number 123456789/10864 and published in 2012.
    Order: http://basepub.dauphine.fr/xmlui/handle/123456789/10864
    Handle: RePEc:dau:thesis:123456789/10864
    Note: dissertation
    Contact details of provider: Web page: http://www.dauphine.fr/en/welcome.html

    More information through EDIRC

    References listed on IDEAS
    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.:

    as in new window
    1. Won Kim, Chong & Phipps, Tim T. & Anselin, Luc, 2003. "Measuring the benefits of air quality improvement: a spatial hedonic approach," Journal of Environmental Economics and Management, Elsevier, vol. 45(1), pages 24-39, January.
    2. Witte, Ann D & Sumka, Howard J & Erekson, Homer, 1979. "An Estimate of a Structural Hedonic Price Model of the Housing Market: An Application of Rosen's Theory of Implicit Markets," Econometrica, Econometric Society, vol. 47(5), pages 1151-73, September.
    3. Mats Wilhelmsson, 2000. "The Impact of Traffic Noise on the Values of Single-family Houses," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 43(6), pages 799-815.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:dau:thesis:123456789/10864. 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: (Alexandre Faure)

    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 references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link 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 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.

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.