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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
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    File URL: http://rcientificas.uninorte.edu.co/index.php/economia/article/view/7860/8123
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    References listed on IDEAS

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    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, April.
    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)

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    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

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