IDEAS home Printed from https://ideas.repec.org/a/col/000452/016323.html
   My bibliography  Save this article

Determinantes del precio de la vivienda en Bucaramanga

Author

Listed:
  • Juan Carlos Rodríguez Marín
  • Pedro Delgado Jaimes
  • Taide Botello Velasco

Abstract

El objetivo de este artículo es analizar los cambios en los determinantes del precio de la vivienda en Bucaramanga, en 2005 y 2012, luego de la implementación del sistema de transporte público Metrolínea. Para el análisis, se utilizó el método de precios hedónicos, que explica cómo el conjunto de características convencionales y atributos del entorno de las viviendas influyen en la disposición a pagar de los consumidores. Los resultados sugieren que las características del inmueble y los atributos convencionales, como estrato, tipo de vivienda y tenencia de garaje, tienen mayor relevancia que los atributos de calidad ambiental. Asimismo, se evidencia un cambio en la significancia en algunas variables de un periodo a otro, lo cual supone la existencia de nuevas variables que pueden explicar el comportamiento de los precios de la vivienda y que podrían estar relacionadas con la puesta en marcha del nuevo sistema de transporte público.

Suggested Citation

  • Juan Carlos Rodríguez Marín & Pedro Delgado Jaimes & Taide Botello Velasco, 2017. "Determinantes del precio de la vivienda en Bucaramanga," Revista Equidad y Desarrollo, Universidad de la Salle, issue 30, pages 39-59, December.
    • Handle: RePEc:col:000452:016323
    DOI: 10.19052/ed.3649
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.19052/ed.3649
    Download Restriction: no
    File URL: https://libkey.io/10.19052/ed.3649?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
    ---><---

    References listed on IDEAS

    as
    1. Bilbao, C., 2004. "Determinacion de la demanda de caracteristicas de vivienda. Una aplicación para los principales municipios asturianos en 1996," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 4(2).
    2. Maria Angelica Arbelaez & Roberto Steiner & Alejandro Becerra & Daniel Wills, 2011. "Housing Tenure and Housing Demand in Colombia," Research Department Publications 4736, Inter-American Development Bank, Research Department.
    3. María Angélica Arbeláez & Roberto Steiner & Alejandro Becerra & Daniel Wills, 2011. "Housing tenure and housing demand in Colombia," WORKING PAPERS SERIES. DOCUMENTOS DE TRABAJO 009067, FEDESARROLLO.
    4. Olsen, Edgar O, 1969. "A Competitive Theory of the Housing Market," American Economic Review, American Economic Association, vol. 59(4), pages 612-622, Part I Se.
    5. Luis Galvis & Bladimir Carrillo, 2013. "Índice de precios espacial para la vivienda urbana en Colombia: una aplicación con métodos de emparejamiento," Revista de Economía del Rosario, Universidad del Rosario, June.
    6. Case, Karl E & Shiller, Robert J, 1989. "The Efficiency of the Market for Single-Family Homes," American Economic Review, American Economic Association, vol. 79(1), pages 125-137, March.
    7. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    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. Luis Galvis & Bladimir Carrillo, 2013. "Índice de precios espacial para la vivienda urbana en Colombia: una aplicación con métodos de emparejamiento," Revista de Economía del Rosario, Universidad del Rosario, June.
    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. Jessica Castaño & Mariana Laverde & Miguel Ángel Morales Mosquera & Ana María Yaruro, 2013. "Índice de Precios de la Vivienda Nueva para Bogotá: Metodología de Precios Hedónicos," Temas de Estabilidad Financiera 078, Banco de la Republica de Colombia.
    4. Liang Peng, 2012. "Repeat Sales Regression on Heterogeneous Properties," The Journal of Real Estate Finance and Economics, Springer, vol. 45(3), pages 804-827, October.
    5. Green, Richard & Hendershott, Patric H., 1996. "Age, housing demand, and real house prices," Regional Science and Urban Economics, Elsevier, vol. 26(5), pages 465-480, August.
    6. Lepinteur, Anthony & Waltl, Sofie R., 2020. "Tracking Owners' Sentiments: Subjective Home Values, Expectations and House Price Dynamics," Department of Economics Working Paper Series 299, WU Vienna University of Economics and Business.
    7. Depetris-Chauvin, Emilio & Santos, Rafael J., 2018. "Unexpected guests: The impact of internal displacement inflows on rental prices in Colombian host cities," Journal of Development Economics, Elsevier, vol. 134(C), pages 289-309.
    8. Raul-Tomas Mora-Garcia & Maria-Francisca Cespedes-Lopez & V. Raul Perez-Sanchez & Pablo Marti & Juan-Carlos Perez-Sanchez, 2019. "Determinants of the Price of Housing in the Province of Alicante (Spain): Analysis Using Quantile Regression," Sustainability, MDPI, vol. 11(2), pages 1-33, January.
    9. Philippe Bracke, 2013. "House Prices and Rents: Micro Evidence from a Matched Dataset in Central London_x0003_," ERSA conference papers ersa13p112, European Regional Science Association.
    10. Tracey Seslen & William C. Wheaton & Henry O. Pollakowksi, 2005. "The Investment Performance of Housing and "Hedonic" Spatial Equilibrium," Working Paper 8583, USC Lusk Center for Real Estate.
    11. Natalia Salazar & Roberto Steiner & Alejandro Becerra & Jaime Ramírez, 2013. "Los efectos del precio del suelo sobre el precio de la vivienda para Colombia," Revista ESPE - Ensayos Sobre Política Económica, Banco de la República, vol. 31(70), pages 18-66, July.
    12. Liang Peng, 2020. "Benchmarking Local Commercial Real Estate Returns: Statistics Meets Economics," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 48(4), pages 1004-1029, December.
    13. Erik R. de Wit, 2009. "Competing Risks in a Time-on-the-Market Analysis," ERES eres2009_307, European Real Estate Society (ERES).
    14. Wang, Ferdinand T. & Zorn, Peter M., 1997. "Estimating House Price Growth with Repeat Sales Data: What's the Aim of the Game?," Journal of Housing Economics, Elsevier, vol. 6(2), pages 93-118, June.
    15. Steven C. Bourassa & Donald R. Haurin & Jessica L. Haurin & Martin Hoesli & Jian Sun, 2009. "House Price Changes and Idiosyncratic Risk: The Impact of Property Characteristics," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 37(2), pages 259-278, June.
    16. Ed Ferrari & Mark A Green, 2013. "Travel to School and Housing Markets: A Case Study of Sheffield, England," Environment and Planning A, , vol. 45(11), pages 2771-2788, November.
    17. Piazzesi, M. & Schneider, M., 2016. "Housing and Macroeconomics," Handbook of Macroeconomics, in: J. B. Taylor & Harald Uhlig (ed.), Handbook of Macroeconomics, edition 1, volume 2, chapter 0, pages 1547-1640, Elsevier.
    18. Hill, Robert J. & Trojanek, Radoslaw, 2022. "An evaluation of competing methods for constructing house price indexes: The case of Warsaw," Land Use Policy, Elsevier, vol. 120(C).
    19. Victor Ginsburgh & Jianping Mei & Michael Moses, 2006. "On the computation of art indices in art," ULB Institutional Repository 2013/7290, ULB -- Universite Libre de Bruxelles.
    20. S. Jansen & P. Vries & H. Coolen & C. Lamain & P. Boelhouwer, 2008. "Developing a House Price Index for The Netherlands: A Practical Application of Weighted Repeat Sales," The Journal of Real Estate Finance and Economics, Springer, vol. 37(2), pages 163-186, August.

    More about this item

    Keywords

    Disposición a pagar; precio hedónico; vivienda;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand

    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:col:000452:016323. 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: Adriana Otálora Buitrago (email available below). General contact details of provider: https://edirc.repec.org/data/eclasco.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.