IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Determining The Effective Factors Of Apartment Prices In Housing Estate With Semiparametric Regression

Listed author(s):
  • Munevver TURANLI

    (Istanbul Ticaret Universitesi)


    (Istanbul Ticaret Universitesi)

Registered author(s):

    At the president day, due to the development of computers and technology statistical tecniques which used in numerical analysis has been developed. One of these tecniques is semiparametric regression which can be used when parametric and nonparametric regression models are not suitable for the analysis. Semiparametric regression has been developed to perform analysis in such cases. The first studies about the semiparametric regression model was initiated in 1985 and from that day forward it has been developed in various studies and applied in various fields. Ýn this study semiparametric regression model has explained theoretical framework and after that housing estates which have very important place in the construction industry today and the effective factors of apartment prices in this places were examined by semiparametric regression.

    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:
    Download Restriction: no

    Article provided by Istanbul Commerce University in its journal Istanbul Commerce University Journal of Social Sciences.

    Volume (Year): 21 (2012)
    Issue (Month): 1 ()
    Pages: 383-402

    in new window

    Handle: RePEc:icu:journl:v:21:y:2012:i:1:p:383-402
    Contact details of provider: Web page:

    More information through EDIRC

    No references listed on IDEAS
    You can help add them by filling out this form.

    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:icu:journl:v:21:y:2012:i:1:p:383-402. 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: (Elcin Aykac Alp)

    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.