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Estimación del potencial de valorización del suelo en Barranquilla en el periodo 2001-2011. Estimación de efectos fijos en datos de panel

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  • Dann Payares Ayola

Abstract

En este trabajo se determina el potencial de valorización del metro cuadrado de suelo (metro cuadrado del lote) de los barrios de la ciudad de Barranquilla (Colombia), a partir de datos mensuales para el periodo comprendido entre 2001 y 2011. Se utiliza información de avalúos inmobiliarios, los cuales contienen: avalúo comercial, estrato socioeconómico, número de pisos del inmueble, total del área del lote (suelo), valor del metro cuadrado del área construida, valor del metro cuadrado del lote y el valor total comercial. Se estima un modelo de regresión hedónica con datos panel de efectos fijos, en el cual se toma como variable dependiente el valor del metro cuadrado del lote (suelo). Se esperan valorizaciones superiores a la estimada en el modelo teórico para las zonas con mayor estrato socioeconómico o los ubicados al norte de la ciudad, los cuales a su vez son contiguos la zona con espacio disponible para nuevos desarrollos inmobiliarios. Dados los resultados encontrados, se confirmaron las valorizaciones esperadas por zona geográfica.

Suggested Citation

  • Dann Payares Ayola, 2012. "Estimación del potencial de valorización del suelo en Barranquilla en el periodo 2001-2011. Estimación de efectos fijos en datos de panel," Revista de Economía del Caribe 10851, Universidad del Norte.
  • Handle: RePEc:col:000382:010851
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    File URL: http://rcientificas.uninorte.edu.co/index.php/economia/article/viewFile/3931/3143
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    References listed on IDEAS

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    Cited by:

    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.

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    More about this item

    Keywords

    Valorización del suelo; modelos de precios hedónicos; precio suelos; datos de panel;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General
    • R14 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - Land Use Patterns
    • R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets

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