IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/7340.html
   My bibliography  Save this paper

Real estate market and the relevance of local features in a hedonic prices quantil-spatial analysis – the case of Belo Horizonte – Brazil

Author

Listed:
  • Furtado, BERNARDO

Abstract

The main motivation of this paper is to identify how relevant the localization of a specific estate is in its market value. Furthermore, it aims to understand better how economic aspects influence and are influenced by urban space. In order to do so, a myriad of concepts is drawn from a variety of fields of science: from geography to architecture, from urbanism to economics, as well as methodologies, which are borrowed from statistics, econometrics and geoprocessing. The proposal of the paper follows the hedonic prices function literature, but suggests that a synthesis of the perception of urban amenities can be expressed by the element of the neighbourhood (as proposed by Lynch, 1997). A number of models are presented, tested and commented. The one with the best fit is the spatial error-lag (Anselin, 1988) specified with a ranking of neighbourhood income. A quantil analysis adds considerably to the understanding of the model.

Suggested Citation

  • Furtado, BERNARDO, 2007. "Real estate market and the relevance of local features in a hedonic prices quantil-spatial analysis – the case of Belo Horizonte – Brazil," MPRA Paper 7340, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:7340
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/7340/1/MPRA_paper_7340.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sheppard, Stephen, 1999. "Hedonic analysis of housing markets," Handbook of Regional and Urban Economics, in: P. C. Cheshire & E. S. Mills (ed.), Handbook of Regional and Urban Economics, edition 1, volume 3, chapter 41, pages 1595-1635, Elsevier.
    2. Brueckner, Jan K. & Thisse, Jacques-Francois & Zenou, Yves, 1999. "Why is central Paris rich and downtown Detroit poor?: An amenity-based theory," European Economic Review, Elsevier, vol. 43(1), pages 91-107, January.
    3. Bruno Martins Hermann & Eduardo Amaral Haddad, 2003. "Mercado Imobiliário e Amenidades Urbanas: a View Through the Window," Anais do XXXI Encontro Nacional de Economia [Proceedings of the 31st Brazilian Economics Meeting] e17, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    4. P. C. Cheshire & E. S. Mills (ed.), 1999. "Handbook of Regional and Urban Economics," Handbook of Regional and Urban Economics, Elsevier, edition 1, volume 3, number 3.
    5. Smirnov, Oleg & Anselin, Luc, 2001. "Fast maximum likelihood estimation of very large spatial autoregressive models: a characteristic polynomial approach," Computational Statistics & Data Analysis, Elsevier, vol. 35(3), pages 301-319, January.
    6. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    7. Can, Ayse & Megbolugbe, Isaac, 1997. "Spatial Dependence and House Price Index Construction," The Journal of Real Estate Finance and Economics, Springer, vol. 14(1-2), pages 203-222, Jan.-Marc.
    Full references (including those not matched with items on IDEAS)

    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. Jose Torres-Pruñonosa & Pablo García-Estévez & Josep Maria Raya & Camilo Prado-Román, 2022. "How on Earth Did Spanish Banking Sell the Housing Stock?," SAGE Open, , vol. 12(1), pages 21582440221, March.
    2. Gabriel Ahlfeldt & Kristoffer Möller & Sevrin Waights & Nicolai Wendland, 2012. "On prisoner's dilemmas and gilded cages: The economics of heritage preservation," ERSA conference papers ersa12p783, European Regional Science Association.
    3. Alexander Razen & Wolfgang Brunauer & Nadja Klein & Thomas Kneib & Stefan Lang & Nikolaus Umlauf, 2014. "Statistical Risk Analysis for Real Estate Collateral Valuation using Bayesian Distributional and Quantile Regression," Working Papers 2014-12, Faculty of Economics and Statistics, Universität Innsbruck.
    4. Bernardo Alves Furtado, 2011. "Neighbourhoods in Urban Economics," Urban Studies, Urban Studies Journal Limited, vol. 48(13), pages 2827-2847, October.
    5. Simlai, Prodosh, 2014. "Estimation of variance of housing prices using spatial conditional heteroskedasticity (SARCH) model with an application to Boston housing price data," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(1), pages 17-30.
    6. Bernardo Furtado & Frank van Oort, 2011. "Neighborhood weight matrix in a spatial-quantile real estate modeling environment: Evidence from Brazil," ERSA conference papers ersa10p424, European Regional Science Association.
    7. Faroek Lazrak & Peter Nijkamp & Piet Rietveld & Jan Rouwendal, 2014. "The market value of cultural heritage in urban areas: an application of spatial hedonic pricing," Journal of Geographical Systems, Springer, vol. 16(1), pages 89-114, January.
    8. Athanasios Votsis, 2017. "Exploring the spatiotemporal behavior of Helsinki’s housing prices with fractal geometry and co-integration," Journal of Geographical Systems, Springer, vol. 19(2), pages 133-155, April.
    9. Cheshire, Paul, 2009. "Urban land markets and policy failures," LSE Research Online Documents on Economics 30837, London School of Economics and Political Science, LSE Library.
    10. Van Ommeren, Jos & Koopman, Marnix, 2011. "Public housing and the value of apartment quality to households," Regional Science and Urban Economics, Elsevier, vol. 41(3), pages 207-213, May.
    11. Zhenlin Yang & Liangjun Su, 2007. "Instrumental Variable Quantile Estimation of Spatial Autoregressive Models," Working Papers 05-2007, Singapore Management University, School of Economics.
    12. Lori Dickes & Elizabeth Crouch, 2015. "The Impact of Changing Lake Levels on Property Values: A Hedonic Model of Lake Thurmond," The Review of Regional Studies, Southern Regional Science Association, vol. 45(3), pages 221-235, Winter.
    13. Elisabetta Manzoli & Sauro Mocetti, 2019. "The House Price Gradient: Evidence from Italian Cities," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 5(2), pages 281-305, July.
    14. Sylvie Charlot & Sonia Paty & Michel Visalli, 2013. "Assessing the impact of local taxation on property prices: a spatial matching contribution," Applied Economics, Taylor & Francis Journals, vol. 45(9), pages 1151-1166, March.
    15. Rafael González-Val & Daniel A. Tirado-Fabregat & Elisabet Viladecans-Marsal, 2017. "Market potential and city growth: Spain 1860–1960," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 11(1), pages 31-61, January.
    16. Andrea Baranzini & José V. Ramirez, 2005. "Paying for Quietness: The Impact of Noise on Geneva Rents," Urban Studies, Urban Studies Journal Limited, vol. 42(4), pages 633-646, April.
    17. Paul Cheshire & Stephen Sheppard, 2005. "The Introduction of Price Signals into Land Use Planning Decision-making: A Proposal," Urban Studies, Urban Studies Journal Limited, vol. 42(4), pages 647-663, April.
    18. LE GALLO, Julie, 2000. "Econométrie spatiale 1 -Autocorrélation spatiale," LATEC - Document de travail - Economie (1991-2003) 2000-05, LATEC, Laboratoire d'Analyse et des Techniques EConomiques, CNRS UMR 5118, Université de Bourgogne.
    19. Gibbons, Stephen & Machin, Stephen & Silva, Olmo, 2013. "Valuing school quality using boundary discontinuities," Journal of Urban Economics, Elsevier, vol. 75(C), pages 15-28.
    20. Anthony Amoah & Peter G. Moffatt, 2017. "Estimating demand for reliable piped-water services in urban Ghana: An application of competing valuation approaches," University of East Anglia School of Economics Working Paper Series 2017-01, School of Economics, University of East Anglia, Norwich, UK..

    More about this item

    Keywords

    real estate market; neighbourhoods; spatial econometrics; quantil analysis; Belo Horizonte;
    All these keywords.

    JEL classification:

    • L85 - Industrial Organization - - Industry Studies: Services - - - Real Estate Services
    • R20 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

    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:pra:mprapa:7340. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    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.