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Estimative Analysis of a Segment of the Bare Ownership Market of Residential Property

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Computational Science and Its Applications – ICCSA 2013 (ICCSA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7974))

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Abstract

Estimative analysis of the property market aims to identify the parameters, economic variables and mechanisms at the basis of negotiations that take place in the market. The aims are explanatory and predictive. In this work, a multiple regression analysis is carried out to evaluate a segment of the bare ownership market of residential properties in a district of an Italian city. In particular, using regression, the explanatory variables in the price of the bare ownership are selected among those initially identified with the empirical observation of this phenomenon, the hedonic prices and weights of the explanatory variables are estimated, the estimation function of the bare ownership price is specified as well as the average depreciation rate determined by the usufruct. The discrepancy between the depreciation rates estimated with the regression and those set out by the law for tax purposes, but applied when estimating the bare ownership value, leads to distrusting the practical use of the latter in matters other than tax purposes.

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Author information

Authors and Affiliations

  1. Dipartimento di Scienze dell’Ingegneria Civile e dell’Architettura, Politecnico di Bari, Via Orabona 4, 70125, Bari, Italy

    Pierluigi Morano

  2. Dipartimento di Ingegneria Civile, Università degli Studi di Salerno, Via Ponte don Melillo, 84084, Fisciano, SA, Italy

    Francesco Tajani

Authors
  1. Pierluigi Morano
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  2. Francesco Tajani
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Editor information

Editors and Affiliations

  1. L-I.S.U.T. - D.A.P.I.t. Facoltà Ingegneria, Università degli Studi della Basilicata, Viale dell’Ateneo Lucano, 10, 85100, Potenza, Italy

    Beniamino Murgante

  2. Canaanland OTA, Covenant University, Nigeria

    Sanjay Misra

  3. Partimento di Scienze e Tecnologie per LAgricoltura, le Foreste, la Natura e lEnergia, Università degli Studi della Tuscia, Via S. Camillo de Lellis, snc, 01100, Viterbo, Italy

    Maurizio Carlini

  4. Dipartimento di Scienze dell’Ingegneria Civile e dell’Architecttura, Politecnico di Bari, Via Orabona, 4, 70125, Bari, Italy

    Carmelo M. Torre

  5. Quarter 6, Linh Trung, Thu Duc, International University VNU-HCM, Ho Chi Minh City, Vietnam

    Hong-Quang Nguyen

  6. School of Business Systems, Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, 813-8503, Higashi-ku, Fukuoka, Japan

    Bernady O. Apduhan

  8. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

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Morano, P., Tajani, F. (2013). Estimative Analysis of a Segment of the Bare Ownership Market of Residential Property. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7974. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39649-6_31

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  • DOI: https://doi.org/10.1007/978-3-642-39649-6_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39648-9

  • Online ISBN: 978-3-642-39649-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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