Nowcasting unemployment rates with Google searches : evidence from the Visegrad Group countries

Jaroslav Pavlicek; Ladislav Kristoufek

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.

MoreLess

Year of publication:	2015
Authors:	Pavlicek, Jaroslav ; Kristoufek, Ladislav
Publisher:	Kiel : Univ.
Subject:	unemployment \| Google Trends \| nowcasting \| Arbeitslosigkeit \| Unemployment \| Suchmaschine \| Search engine \| Prognoseverfahren \| Forecasting model \| Visegrad-Staaten \| Visegrad countries \| Arbeitsuche \| Job search

freely available

Full text |

More access options

www.finmap-fp7.eu

Check Google Scholar

In German libraries (KVK)

I need help

Extent:	Online-Ressource (15 S.) graph. Darst.
Series:	Finmap working paper. - Kiel : Univ., ZDB-ID 2785854-6. - Vol. 34
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Arbeitspapier ; Working Paper ; Graue Literatur ; Non-commercial literature
Language:	English
Notes:	Systemvoraussetzung: Acrobat Reader
Other identifiers:	hdl:10419/108899 [Handle]
Classification:	E24 - Employment; Unemployment; Wages ; E27 - Forecasting and Simulation ; J64 - Unemployment: Models, Duration, Incidence, and Job Search
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10010499586