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Índice de precios espacial para la vivienda urbana en Colombia: una aplicación con métodos de emparejamiento

Author

Listed:
  • Luis Galvis
  • Bladimir Carrillo

Abstract

La formulación de un índice que cuantifique los diferenciales de precios de vivienda entre regiones es relevante para aspectos económicos tales como la asignación del gasto social habitacional. Desafortunadamente, en el contexto colombiano son escasos los estudios que se trazan tal objetivo. Este documento se propone llenar vacíos en ese sentido. Para este efecto se emplea el método de emparejamiento PSM (Propensity Score Matching), con el que se busca establecer comparaciones más homogéneas entre los inmuebles de cada ciudad al evaluar el diferencial de precios. Se realizan dos ejercicios adicionales, que consisten en: (i) comparar las viviendas según rangos de precios (bajo, medio y alto) entre las ciudades, empleando regresiones hedónicas por cuantiles, y (ii) examinar cómo cambia la diferencia promedio de precios cuando varía la canasta de características de la unidad habitacional. Entre los principales resultados se encuentra que Bogotá tiene el precio más alto de vivienda estándar, seguida de Cartagena y Villavicencio. En términos prácticos, las brechas de precios halladas son importantes y alcanzan cifras cercanas al 30%. Dichas brechas no son homogéneas entre diferentes clases de vivienda estándar, ni entre rangos del precio.

Suggested Citation

  • 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.
    • Handle: RePEc:col:000151:012876
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. 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.
    3. Luis Armando Galvis, 2013. "¿El triunfo de Bogotá?: desempeno reciente de la ciudad capital," Coyuntura Económica, Fedesarrollo, June.

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    More about this item

    Keywords

    Regresión por cuantiles; índice de precios hedónicos de Fisher;

    JEL classification:

    • C43 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Index Numbers and Aggregation
    • O18 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Urban, Rural, Regional, and Transportation Analysis; Housing; Infrastructure
    • R21 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Housing Demand
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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