IDEAS home Printed from https://ideas.repec.org/a/taf/jpropr/v34y2017i4p269-284.html
   My bibliography  Save this article

House price determinants in Athens: a spatial econometric approach

Author

Listed:
  • Marianthi Stamou
  • Angelos Mimis
  • Antonis Rovolis

Abstract

In this paper, we try to identify the price determinants in the biggest real estate market of Greece, the metropolitan area of Athens. For that purpose, various spatial econometric models are used to explore their prediction ability and we are displaying the variations in property prices for the wider area of Athens. These models have been compared based on different criteria such as model fit, the Akaike information criterion and variance of the residuals. Our results indicate that, in our case, the spatial general model is the most appropriate simultaneous autoregressive model when dealing with spatially autocorrelated prices of housing properties data, in terms of our selection criteria.

Suggested Citation

  • Marianthi Stamou & Angelos Mimis & Antonis Rovolis, 2017. "House price determinants in Athens: a spatial econometric approach," Journal of Property Research, Taylor & Francis Journals, vol. 34(4), pages 269-284, October.
  • Handle: RePEc:taf:jpropr:v:34:y:2017:i:4:p:269-284
    DOI: 10.1080/09599916.2017.1400575
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09599916.2017.1400575
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09599916.2017.1400575?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Manfred M. Fischer & Jinfeng Wang, 2011. "Spatial Data Analysis," SpringerBriefs in Regional Science, Springer, number 978-3-642-21720-3, November.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Polixeni Iliopoulou & Elissavet Feloni, 2022. "Spatial Modelling and Geovisualization of House Prices in the Greater Athens Region, Greece," Geographies, MDPI, vol. 2(1), pages 1-21, February.
    2. Wilmar Alexander Cabrera-Rodríguez & Juan Sebastián Mariño-Montaña & Carlos Andrés Quicazán-Moreno, 2019. "Modelos hedónicos con efectos espaciales: una aproximación al cálculo de índices de precios de vivienda para Bogotá," Borradores de Economia 1072, Banco de la Republica de Colombia.
    3. Nana Cui & Hengyu Gu & Tiyan Shen & Changchun Feng, 2018. "The Impact of Micro-Level Influencing Factors on Home Value: A Housing Price-Rent Comparison," Sustainability, MDPI, vol. 10(12), pages 1-23, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Marco Helbich & Wolfgang Brunauer & Eric Vaz & Peter Nijkamp, 2014. "Spatial Heterogeneity in Hedonic House Price Models: The Case of Austria," Urban Studies, Urban Studies Journal Limited, vol. 51(2), pages 390-411, February.
    2. Daniel A. Griffith & Manfred M. Fischer, 2016. "Constrained Variants of the Gravity Model and Spatial Dependence: Model Specification and Estimation Issues," Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 37-66, Springer.
    3. Pires, Jose Claudio Linhares & Cravo, Tulio & Lodato, Simon & Piza, Caio, 2013. "Industrial Clusters and Economic Performance in Brazil," IDB Publications (Working Papers) 4771, Inter-American Development Bank.
    4. Munazza Fatima & Kara J. O’Keefe & Wenjia Wei & Sana Arshad & Oliver Gruebner, 2021. "Geospatial Analysis of COVID-19: A Scoping Review," IJERPH, MDPI, vol. 18(5), pages 1-14, February.
    5. M'HENNI, Hatem & METHAMEM, Raouchen, 2008. "Diffusion des TIC dans l’espace méditerranéen une explication géographique [ICT diffusion in the mediterranean space: a geographical explanation]," MPRA Paper 27550, University Library of Munich, Germany.
    6. Ahmet Koncak & Gökhan Konat, 2023. "A Study on Interregional Determinants of Infant Mortality Rate in Turkey with Spatial Econometric Analysis," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(38), pages 149-170, June.
    7. Krisztin, Tamás, 2018. "Semi-parametric spatial autoregressive models in freight generation modeling," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 114(C), pages 121-143.
    8. Fischer, Manfred M. & LeSage, James P., 2018. "The role of socio-cultural factors in static trade panel models," Working Papers in Regional Science 2018/04, WU Vienna University of Economics and Business.
    9. Cuicui Lu & Weining Wang & Jeffrey M. Wooldridge, 2018. "Using generalized estimating equations to estimate nonlinear models with spatial data," Papers 1810.05855, arXiv.org.
    10. Vecci, Joseph & Zelinsky, Tomas, 2017. "A Spatial Analysis of Foreign Aid and Civil Society," Working Papers in Economics 688, University of Gothenburg, Department of Economics.
    11. Michael Fritsch & Mirko Titze & Matthias Piontek, 2020. "Identifying cooperation for innovation―a comparison of data sources," Industry and Innovation, Taylor & Francis Journals, vol. 27(6), pages 630-659, June.
    12. Fischer, Manfred M. & Varga, Attila, 1999. "Technological Innovation and Interfirm Cooperation," ERSA conference papers ersa99pa010, European Regional Science Association.
    13. Iris Wanzenböck & Thomas Scherngell & Thomas Brenner, 2014. "Embeddedness of regions in European knowledge networks: a comparative analysis of inter-regional R&D collaborations, co-patents and co-publications," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 53(2), pages 337-368, September.
    14. James P. LeSage & Manfred M. Fischer, 2016. "Spatial Regression-Based Model Specifications for Exogenous and Endogenous Spatial Interaction," Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 15-36, Springer.
    15. Andrew J. Cassey & Katherine N. Schmeiser & Andreas Waldkirch, 2016. "Exporting Spatial Externalities," Open Economies Review, Springer, vol. 27(4), pages 697-720, September.
    16. Mohammadi, Neda & Taylor, John E., 2017. "Urban energy flux: Spatiotemporal fluctuations of building energy consumption and human mobility-driven prediction," Applied Energy, Elsevier, vol. 195(C), pages 810-818.
    17. Coro Chasco & Patricio Aroca & Luc Anselin, 2019. "Probit Models for Grouped-data Migration Flows: A TheoreticalNote," Revista Economía, Fondo Editorial - Pontificia Universidad Católica del Perú, vol. 42(84), pages 1-8.
    18. Justyna Wilk, 2015. "Using symbolic data in gravity model of population migration to reduce modifiable areal unit problem (MAUP)," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 16(2), pages 243-264, June.
    19. Montero Lorenzo, José María, 2004. "El precio medio del metro cuadrado de la vivienda libre: Una aproximación metodológica desde la perspectiva de la Geoestadística," Estudios de Economia Aplicada, Estudios de Economia Aplicada, vol. 22, pages 1-18, Diciembre.
    20. Schintler, Laurie A. & Fischer, Manfred M., 2018. "The Analysis of Big Data on Cites and Regions - Some Computational and Statistical Challenges," Working Papers in Regional Science 2018/08, WU Vienna University of Economics and Business.

    More about this item

    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:taf:jpropr:v:34:y:2017:i:4:p:269-284. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJPR20 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.