EconPapers    
Economics at your fingertips  
 

Can Google econometrics predict unemployment? Evidence from Spain

Marcos González-Fernández and Carmen González-Velasco

Economics Letters, 2018, vol. 170, issue C, 42-45

Abstract: The aim of the paper is to analyze the ability of internet activity, what has been called Google econometrics, to predict unemployment in Spain. We include a new predictor for Spanish unemployment based on internet information provided by Google Trends. Using monthly data from January 2004 to November 2017 we found evidence of a high correlation between internet queries and unemployment. Besides that, the inclusion of internet activity enhances model’s prediction performance.

Keywords: Google econometrics; Unemployment; Spain; Forecasting (search for similar items in EconPapers)
JEL-codes: C53 E24 E27 G17 J64 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0165176518302040
Full text for ScienceDirect subscribers only

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:eee:ecolet:v:170:y:2018:i:c:p:42-45

DOI: 10.1016/j.econlet.2018.05.031

Access Statistics for this article

Economics Letters is currently edited by Economics Letters Editorial Office

More articles in Economics Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2024-03-31
Handle: RePEc:eee:ecolet:v:170:y:2018:i:c:p:42-45