Related Experiment Video
Updated: Apr 12, 2026

Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Nowcasting unemployment rates with Google searches: evidence from the Visegrad Group countries
Jaroslav Pavlicek1, Ladislav Kristoufek2
1Institute of Information Theory and Automation, Academy of Sciences of the Czech Republic, Pod Vodarenskou vezi 4, Prague 8, 182 08, Czech Republic.
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.
More Related Videos
Related Concept Videos
Econometric Views (EViews)
Selected Data About Geographic Locations
Estimating Population Standard Deviation
Central Tendency: Analysis
The mean is one such measure, calculated by totaling all values in a dataset and dividing by the number of values. For instance, the mean blood pressure reading (120, 130, 140, 150) would be 135. However, the mean can be affected by extreme values or outliers.
The median, another measure,...
Statistical Methods for Analyzing Epidemiological Data
Estimating Population Mean with Unknown Standard Deviation
William S. Gosset (1876–1937) of the...

