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Nowcasting Unemployment Rates with Google Searches: Evidence from the Visegrad Group Countries
The online activity of Internet users has repeatedly been shown to provide a rich information set for various research fields. We focus on job-related searches on Google and their possible usefulness in the region of the Visegrad Group - the Czech Republic, Hungary, Poland and Slovakia. Even for rat...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4441379/ https://www.ncbi.nlm.nih.gov/pubmed/26001083 http://dx.doi.org/10.1371/journal.pone.0127084 |
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author | Pavlicek, Jaroslav Kristoufek, Ladislav |
author_facet | Pavlicek, Jaroslav Kristoufek, Ladislav |
author_sort | Pavlicek, Jaroslav |
collection | PubMed |
description | The online activity of Internet users has repeatedly been shown to provide a rich information set for various research fields. We focus on job-related searches on Google and their possible usefulness in the region of the Visegrad Group - the Czech Republic, Hungary, Poland and Slovakia. Even for rather small economies, the online searches of inhabitants can be successfully utilized for macroeconomic predictions. Specifically, we study unemployment rates and their interconnection with job-related searches. We show that Google searches enhance nowcasting models of unemployment rates for the Czech Republic and Hungary whereas for Poland and Slovakia, the results are mixed. |
format | Online Article Text |
id | pubmed-4441379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44413792015-05-28 Nowcasting Unemployment Rates with Google Searches: Evidence from the Visegrad Group Countries Pavlicek, Jaroslav Kristoufek, Ladislav PLoS One Research Article The online activity of Internet users has repeatedly been shown to provide a rich information set for various research fields. We focus on job-related searches on Google and their possible usefulness in the region of the Visegrad Group - the Czech Republic, Hungary, Poland and Slovakia. Even for rather small economies, the online searches of inhabitants can be successfully utilized for macroeconomic predictions. Specifically, we study unemployment rates and their interconnection with job-related searches. We show that Google searches enhance nowcasting models of unemployment rates for the Czech Republic and Hungary whereas for Poland and Slovakia, the results are mixed. Public Library of Science 2015-05-22 /pmc/articles/PMC4441379/ /pubmed/26001083 http://dx.doi.org/10.1371/journal.pone.0127084 Text en © 2015 Pavlicek, Kristoufek http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Pavlicek, Jaroslav Kristoufek, Ladislav Nowcasting Unemployment Rates with Google Searches: Evidence from the Visegrad Group Countries |
title | Nowcasting Unemployment Rates with Google Searches: Evidence from the Visegrad Group Countries |
title_full | Nowcasting Unemployment Rates with Google Searches: Evidence from the Visegrad Group Countries |
title_fullStr | Nowcasting Unemployment Rates with Google Searches: Evidence from the Visegrad Group Countries |
title_full_unstemmed | Nowcasting Unemployment Rates with Google Searches: Evidence from the Visegrad Group Countries |
title_short | Nowcasting Unemployment Rates with Google Searches: Evidence from the Visegrad Group Countries |
title_sort | nowcasting unemployment rates with google searches: evidence from the visegrad group countries |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4441379/ https://www.ncbi.nlm.nih.gov/pubmed/26001083 http://dx.doi.org/10.1371/journal.pone.0127084 |
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