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Determinantes de los precios relativos de la vivienda: Bogotá versus Medellín

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  • Jhon Jairo García Rendón
  • Carlos Esteban Posada
  • Hermilson Velasquez

Abstract

Esta investigación utiliza un modelo de oferta y demanda para explicar por qué el precio de la vivienda nueva es mayor en Bogotá comparativamente con Medellín. Por medio de una estimación por máxima verosimilitud (Vector de Corrección de Error - VEC), los resultados muestran un efecto permanente de la relación de la tasa de ocupación laboral para explicar los precios relativos entre estas dos ciudades. En el ajuste de corto plazo, no solo los rezagos de la relación de precios de la vivienda y de la relación de la tasa de ocupación son estadísticamente significativos, sino que, además, variables como la relación del ingreso promedio de los hogares y la relación de la cartera hipotecaria rezagada un periodo presentan significancia estadística.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Jhon Jairo García Rendón & Carlos Esteban Posada & Hermilson Velasquez, 2019. "Determinantes de los precios relativos de la vivienda: Bogotá versus Medellín," Documentos de Trabajo de Valor Público 17333, Universidad EAFIT.
    • Handle: RePEc:col:000122:017333
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    File URL: http://repository.eafit.edu.co/handle/10784/13651
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    References listed on IDEAS

    as
    1. Gregory C. Chow & Linlin Niu, 2015. "Housing Prices in Urban China as Determined by Demand and Supply," Pacific Economic Review, Wiley Blackwell, vol. 20(1), pages 1-16, February.
    2. Sergio Clavijo & Michel Janna & Santiago Muñoz, 2004. "La Vivienda en Colombia: Sus Determinantes Socio-Económicos y Financieros," Borradores de Economia 300, Banco de la Republica de Colombia.
    3. John J. Garcia-Rendon & Natalia Cadavid Arcila & Erika Tatiana Aristizábal Zuluaga, 2018. "Efectos del crédito hipotecario sobre el precio de la vivienda nueva NO VIS en Medellín," Documentos de Trabajo de Valor Público 16976, Universidad EAFIT.
    4. Englund, Peter & Ioannides, Yannis M., 1997. "House Price Dynamics: An International Empirical Perspective," Journal of Housing Economics, Elsevier, vol. 6(2), pages 119-136, June.
    5. John García Rendón & Sebastían Díaz & Juan Carlos Upegui & Hermilson Velásquez, 2019. "Determinantes del precio de la vivienda nueva No VIS en Medellín: un modelo estructural," Revista Cuadernos de Economia, Universidad Nacional de Colombia, FCE, CID, vol. 38(76), pages 109-136, January.
    6. Edward L. Glaeser & Joseph Gyourko, 2005. "Urban Decline and Durable Housing," Journal of Political Economy, University of Chicago Press, vol. 113(2), pages 345-375, April.
    7. Agnello, Luca & Schuknecht, Ludger, 2011. "Booms and busts in housing markets: Determinants and implications," Journal of Housing Economics, Elsevier, vol. 20(3), pages 171-190, September.
    8. Sergio Clavijo & Michel Janna & Santiago Muñoz, 2004. "LA VIVIENDA EN COLOMBIA: Sus Determinantes Socio-Económicos y Financieros," Borradores de Economia 3099, Banco de la Republica.
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    More about this item

    JEL classification:

    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L74 - Industrial Organization - - Industry Studies: Primary Products and Construction - - - Construction

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