IDEAS home Printed from https://ideas.repec.org/p/col/000382/014785.html
   My bibliography  Save this paper

Segmentación inmobiliaria en una ciudad intermedia del caribe colombiano: el caso de Sincelejo

Author

Listed:
  • Gastón Ballut Dajud
  • Néstor Garza

Abstract

A partir de información primaria (1800 avalúos inmobiliarios) y secundaria (trabajos de investigación, instituciones públicas, estadísticas oficiales), se compila información sobre precios del suelo y sus determinantes en la ciudad de Sincelejo en una base de datos tipo panel para 145 barrios en el periodo 2000-2011. Se encontró que variables extractadas de la teoría tradicional son buenas determinantes de los precios del suelo en la ciudad: PIB, Estrato, Distancia al centro, Distancia a corredor de actividad y Precio del espacio construido. Otras variables influyentes son la Presencia de invasiones y el origen Comunitario del barrio. Problemas de criminalidad no fueron significativos. El comportamiento de las comunas fue desigual. Mientras las comunas 4 y 5 tuvieron precios persistentemente superiores a lo predicho por las variables usadas, mientras que las comunas 2 y 3 los tuvieron inferiores.

Suggested Citation

  • Gastón Ballut Dajud & Néstor Garza, 2015. "Segmentación inmobiliaria en una ciudad intermedia del caribe colombiano: el caso de Sincelejo," Revista de Economía del Caribe 14785, Universidad del Norte.
  • Handle: RePEc:col:000382:014785
    as

    Download full text from publisher

    File URL: http://rcientificas.uninorte.edu.co/index.php/economia/article/view/7860/8123
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ivan Muniz & Anna Galindo & Miguel Angel Garcia, 2003. "Cubic Spline Population Density Functions and Satellite City Delimitation: The Case of Barcelona," Urban Studies, Urban Studies Journal Limited, vol. 40(7), pages 1303-1321, June.
    2. Néstor Garza Puentes & Rafael Tovar Vanegas, 2009. "El mercado de vivienda en Barranquilla y el sector externo de la economía," Revista de Economía del Caribe 7125, Universidad del Norte.
    3. Patrick Sevestre & Laszlo Matyas, 2008. "The Econometrics of Panel Data," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) halshs-00279977, HAL.
    4. Barrie Needham, 2000. "Land taxation, development charges, and the effects on land-use," Journal of Property Research, Taylor & Francis Journals, vol. 17(3), pages 241-257, January.
    5. Brueckner, Jan K., 2011. "Lectures on Urban Economics," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262016362, December.
    6. Anderson, John E., 1982. "Cubic-spline urban-density functions," Journal of Urban Economics, Elsevier, vol. 12(2), pages 155-167, September.
    7. László Mátyás & Patrick Sevestre (ed.), 2008. "The Econometrics of Panel Data," Advanced Studies in Theoretical and Applied Econometrics, Springer, number 978-3-540-75892-1, July-Dece.
    8. Barrie Needham, 1992. "A Theory of Land Prices when Land is Supplied Publicly: The Case of the Netherlands," Urban Studies, Urban Studies Journal Limited, vol. 29(5), pages 669-686, June.
    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. Nestor Garza & Colin Lizieri, 2019. "An empirical approach to urban land monopoly: A case study of the city of Barranquilla, Colombia," Urban Studies, Urban Studies Journal Limited, vol. 56(10), pages 1931-1950, August.
    2. Garza, Nestor & Gonzalez, Ivan, 2021. "An urban system assessment of Land Value Capture: The Colombian case," Land Use Policy, Elsevier, vol. 109(C).
    3. Arturas Juodis, 2013. "Cointegration Testing in Panel VAR Models Under Partial Identification and Spatial Dependence," UvA-Econometrics Working Papers 13-08, Universiteit van Amsterdam, Dept. of Econometrics.
    4. repec:rri:wpaper:201303 is not listed on IDEAS
    5. Joseph P. Byrne & Alexandros Kontonikas & Alberto Montagnoli, 2013. "International Evidence on the New Keynesian Phillips Curve Using Aggregate and Disaggregate Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 45(5), pages 913-932, August.
    6. Cem Ertur & Antonio Musolesi, 2017. "Weak and Strong Cross‐Sectional Dependence: A Panel Data Analysis of International Technology Diffusion," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(3), pages 477-503, April.
    7. Francesca Iorio & Stefano Fachin, 2014. "Savings and investments in the OECD: a panel cointegration study with a new bootstrap test," Empirical Economics, Springer, vol. 46(4), pages 1271-1300, June.
    8. Karaman Örsal, Deniz Dilan & Droge, Bernd, 2014. "Panel cointegration testing in the presence of a time trend," Computational Statistics & Data Analysis, Elsevier, vol. 76(C), pages 377-390.
    9. Vasudeva N. R. Murthy & Emmanuel Anoruo, 2009. "Are Per Capita Real GDP Series in African Countries Non-stationary or Non-linear? What does Empirical Evidence Reveal?," Economics Bulletin, AccessEcon, vol. 29(4), pages 2492-2504.
    10. Alexander Klemm & Stefan Parys, 2012. "Empirical evidence on the effects of tax incentives," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(3), pages 393-423, June.
    11. Ling Xiong & Shaozhou Qi, 2018. "Financial Development And Carbon Emissions In Chinese Provinces: A Spatial Panel Data Analysis," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(02), pages 447-464, March.
    12. Parent, Olivier & LeSage, James P., 2011. "A space-time filter for panel data models containing random effects," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 475-490, January.
    13. Patrizia Ordine & Giuseppe Rose, 2008. "Local Banks Efficiency and Employment," LABOUR, CEIS, vol. 22(3), pages 469-493, September.
    14. Brian Piper, 2014. "Factor-Specific Productivity," Working Papers 1401, Sam Houston State University, Department of Economics and International Business.
    15. Matyas, Laszlo & Balazsi, Laszlo, 2011. "The estimation of three-dimensional fixed effects panel data models," MPRA Paper 34976, University Library of Munich, Germany.
    16. Lawrence A. Plummer & Zoltán J. Ács, 2015. "Localized competition in the knowledge spillover theory of entrepreneurship," Chapters, in: Global Entrepreneurship, Institutions and Incentives, chapter 8, pages 145-160, Edward Elgar Publishing.
    17. Jaap H. Abbring, 0000. "Mixed Hitting-Time Models," Tinbergen Institute Discussion Papers 07-057/3, Tinbergen Institute, revised 11 Aug 2009.
    18. Heather Gibson & Stephen Hall & George Tavlas, 2015. "Are all sovereigns equal? A test of the common determination of sovereign spreads in the euro area," Empirical Economics, Springer, vol. 48(3), pages 939-949, May.
    19. Evren Ceritoglu, 2017. "The effect of house price changes on cohort consumption in Turkey," Central Bank Review, Research and Monetary Policy Department, Central Bank of the Republic of Turkey, vol. 17(3), pages 1-99–110.
    20. Frauke Dobnik, 2013. "Long-run money demand in OECD countries: what role do common factors play?," Empirical Economics, Springer, vol. 45(1), pages 89-113, August.
    21. Daria Pus & László Mátyás & Cecilia Hornok, 2013. "Modelling Firm-Product Level Trade: A Multi-Dimensional Random Effects Panel Data Approach," CEU Working Papers 2013_2, Department of Economics, Central European University, revised 08 May 2013.

    More about this item

    Keywords

    Sincelejo; región Caribe; economía inmobiliaria; Colombia; economía urbana;
    All these keywords.

    JEL classification:

    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General
    • R52 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Land Use and Other Regulations

    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:col:000382:014785. 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: Departamento de Economía UN (email available below). General contact details of provider: https://edirc.repec.org/data/denorco.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.