An approach to predict Spanish mortgage market activity using Google data

Marcos González-Fernández and Carmen González-Velasco
Authors registered in the RePEc Author Service: Marcos González-Fernández

Economics and Business Letters, 2019, vol. 8, issue 4, 209-214

Abstract: The aim of this paper is to use Google data to predict Spanish mortgage market activity during the period from January 2004 to January 2019. Thus, we collect monthly Google data for the keyword hipoteca, the Spanish expression for mortgage, and then, we perform a regression and an out-of-sample analysis. We find evidence that the use of Google data significantly improves prediction accuracy.

Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://reunido.uniovi.es/index.php/EBL/article/view/13747 (text/html)

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:ove:journl:aid:13747

Access Statistics for this article

Economics and Business Letters is currently edited by Francisco J. Delgado

More articles in Economics and Business Letters from Oviedo University Press Contact information at EDIRC.
Bibliographic data for series maintained by Francisco J. Delgado ().