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

Jeisson Cardenas Rubio (), Francisco José Chaux Guzmán () and Jesus Otero

Revista de Economía del Rosario, 2019, vol. 22, issue 1, No 17977, 75-100

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.

Keywords: Data science; web scraping (search for similar items in EconPapers)
JEL-codes: C80 R31 (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations:

Downloads: (external link)
https://revistas.urosario.edu.co/index.php/economia/article/view/7768

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:col:000151:017977

Access Statistics for this article

More articles in Revista de Economía del Rosario from Universidad del Rosario Contact information at EDIRC.
Bibliographic data for series maintained by Facultad de Economía ().