IDEAS home Printed from https://ideas.repec.org/p/ags/eaa109/44853.html
   My bibliography  Save this paper

Model Tree: An Application In Real Estate Appraisal

Author

Listed:
  • Acciani, Claudio
  • Fucilli, Vincenzo
  • Sardaro, Ruggiero

Abstract

In the last twenty years in real estate appraisal there has been a growing interest for new and reliable assessment techniques essentially through the introduction of pluriparametric estimate, in particular of linear regression. However, also these techniques seem having not a great deal of adherence to very complex markets, for which the detection of best suited techniques to investigate market segments is necessary. The aim of the research is to test the applicative possibilities of model tree to land market, in order to highlight possible market segments in the original data set not detectable a priori.

Suggested Citation

  • Acciani, Claudio & Fucilli, Vincenzo & Sardaro, Ruggiero, 2008. "Model Tree: An Application In Real Estate Appraisal," 109th Seminar, November 20-21, 2008, Viterbo, Italy 44853, European Association of Agricultural Economists.
  • Handle: RePEc:ags:eaa109:44853
    as

    Download full text from publisher

    File URL: http://purl.umn.edu/44853
    Download Restriction: no

    Citations

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


    Cited by:

    1. del Cacho, Carlos, 2010. "A comparison of data mining methods for mass real estate appraisal," MPRA Paper 27378, University Library of Munich, Germany.

    More about this item

    Keywords

    data mining; model tree; multiple regression analysis; land market appraisal; Research Methods/ Statistical Methods; C01;

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:eaa109:44853. 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: (AgEcon Search). General contact details of provider: http://edirc.repec.org/data/eaaeeea.html .

    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 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.

    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.