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Una base de datos de precios y características de vivienda en Colombia con información de Internet

Author

Listed:
  • Jeisson Arley Cárdenas Rubio
  • Francisco José Chaux Guzmán
  • Jesús Otero

Abstract

This paper illustrates the use of data science tools to retrieve and analyze Internet data on dwelling prices and characteristics in the housing markets of the main Colombian cities. We expect that this new data set may become a useful tool for the analysis of the evolution of housing markets in our country.

Suggested Citation

  • Jeisson Arley Cárdenas Rubio & Francisco José Chaux Guzmán & Jesús Otero, 2019. "Una base de datos de precios y características de vivienda en Colombia con información de Internet," Revista de Economía del Rosario, Universidad del Rosario, vol. 22(1), pages 75-100, June.
    • Handle: RePEc:col:000151:017977
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    File URL: https://revistas.urosario.edu.co/index.php/economia/article/view/7768
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    More about this item

    Keywords

    Data science; web scraping;

    JEL classification:

    • C80 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - General
    • 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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