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An Econometric Analysis of Homeownership Determinants in Belgium

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Computational Science and Its Applications – ICCSA 2014 (ICCSA 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8581))

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Abstract

In market economies, homeownership is associated with positive externalities. Increasing the levels of homeownership has been an objective of governments for the last decades. The analysis of the determinants of tenure status provides information to this end. This paper proposes an econometric analysis of housing tenure in Belgium. We review the main variables that have been considered in the literature as influencing housing tenure, after what we estimate a logit model. We observe a strong influence of income and age on the probability of homeownership. Couple relationship and the presence of dependent children have a positive influence, but this influence is less significant. Urban location is associated with lower probability of homeownership, compared with other areas. Our observations follow the trends described for other countries in the literature.

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Author information

Authors and Affiliations

  1. Research Center on City and Territory, University of Liège, Belgium

    Guillaume Xhignesse, Bruno Bianchet, Mario Cools, Henry-Jean Gathon, Bernard Jurion & Jacques Teller

  2. Economics Department, HEC Management School, University of Liège, Belgium

    Guillaume Xhignesse, Henry-Jean Gathon & Bernard Jurion

  3. Geography Department, Faculty of Sciences, University of Liège, Belgium

    Bruno Bianchet

  4. Architecture and Urbanism Department, Faculty of Applied Sciences, University of Liège, Belgium

    Mario Cools & Jacques Teller

Authors
  1. Guillaume Xhignesse
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  2. Bruno Bianchet
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  3. Mario Cools
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  4. Henry-Jean Gathon
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  5. Bernard Jurion
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  6. Jacques Teller
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Editor information

Editors and Affiliations

  1. School of Engineering, University of Basilicata, 85100, Potenza, Italy

    Beniamino Murgante

  2. Department of Computer and Information Sciences, Covenant University, Ota, Nigeria

    Sanjay Misra

  3. Department of Production and Systems, University of Minho, 4710-057, Braga, Portugal

    Ana Maria A. C. Rocha

  4. DICAR, Polytecnico di Bari, 70125, Bari, Italy

    Carmelo Torre

  5. University of Minho, Braga, Portugal

    Jorge Gustavo Rocha  & Maria Irene Falcão  & 

  6. 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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© 2014 Springer International Publishing Switzerland

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Xhignesse, G., Bianchet, B., Cools, M., Gathon, HJ., Jurion, B., Teller, J. (2014). An Econometric Analysis of Homeownership Determinants in Belgium. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8581. Springer, Cham. https://doi.org/10.1007/978-3-319-09150-1_6

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  • DOI: https://doi.org/10.1007/978-3-319-09150-1_6

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-09149-5

  • Online ISBN: 978-3-319-09150-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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