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Model Tree: An Application In Real Estate Appraisal

Author

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  • 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
    DOI: 10.22004/ag.econ.44853
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    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.
    2. Reyes-Bueno, Fabián & García-Samaniego, Juan Manuel & Sánchez-Rodríguez, Aminael, 2018. "Large-scale simultaneous market segment definition and mass appraisal using decision tree learning for fiscal purposes," Land Use Policy, Elsevier, vol. 79(C), pages 116-122.

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    Research Methods/ Statistical Methods;

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