A bridge between sentiment indicators: What does Google Trends tell us about COVID-19 pandemic and employment expectations in the EU new member states?
COVID-19 pandemic
Employment expectations
Google Trends
Social policy
Journal
Technological forecasting and social change
ISSN: 0040-1625
Titre abrégé: Technol Forecast Soc Change
Pays: United States
ID NLM: 101085131
Informations de publication
Date de publication:
Dec 2021
Dec 2021
Historique:
received:
24
11
2020
revised:
18
08
2021
accepted:
24
08
2021
entrez:
20
9
2021
pubmed:
21
9
2021
medline:
21
9
2021
Statut:
ppublish
Résumé
The sentiment indicators tend to reflect better the social tensions caused by COVID-19 pandemic. In this context, the aim of this paper is to reflect the relationship between employment expectations and tensions related to new coronavirus. The impact of COVID-19 pandemic on employment expectations is assessed using the data collected by Google Trends in Panel Autoregressive Distributed Lag (panel ARDL) models and Bayesian multilevel model. The results indicated that COVID-19 searched on Google had a negative impact on employment expectations in the EU New Member States on the period March 2020-May 2021. The unemployment and inflation rate had also a negative effect, while improvement in economic sentiment indicator has increased the employment expectations. These results are the support of economic policies to reduce labour market tensions and improve employment expectations.
Identifiants
pubmed: 34538968
doi: 10.1016/j.techfore.2021.121170
pii: S0040-1625(21)00603-X
pmc: PMC8432887
doi:
Types de publication
Journal Article
Langues
eng
Pagination
121170Informations de copyright
© 2021 Elsevier Inc. All rights reserved.
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