| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 7348616 | Economics Letters | 2018 | 9 Pages | 
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.
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											Authors
												Marcos González-Fernández, Carmen González-Velasco, 
											