Nowcasting unemployment rates with Google searches: evidence from the Visegrad Group countries
Language English Country United States Media electronic-ecollection
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
26001083
PubMed Central
PMC4441379
DOI
10.1371/journal.pone.0127084
PII: PONE-D-14-37645
Knihovny.cz E-resources
- MeSH
- Internet * MeSH
- Humans MeSH
- Unemployment statistics & numerical data MeSH
- Models, Theoretical MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Czech Republic MeSH
- Hungary MeSH
- Poland MeSH
- Slovakia MeSH
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.
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