Publication detail

Pavlicek, J. & Kristoufek, L.: Nowcasting unemployment rates with Google searches: Evidence from the Visegrad Group countries

Author(s): prof. PhDr. Ladislav Krištoufek Ph.D.,
Jaroslav Pavlíček M.A.,
Type: Articles in journals with impact factor
Year: 2015
Number: 0
ISSN / ISBN:
Published in: PLoS ONE 10(5): e0127084 arXiv PDF
Publishing place:
Keywords: unemployment, nowcasting, online activity, Google Trends
JEL codes:
Suggested Citation:
Grants: DYME – Dynamic Models in Economics
Abstract: 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.
August 2022
MonTueWedThuFriSatSun
1234567
891011121314
15161718192021
22232425262728
293031    

Partners

Deloitte

Sponsors

CRIF
McKinsey
Patria Finance
Česká Spořitelna
EY