ArticleTechnological forecasting and social change2021
A bridge between sentiment indicators: What does Google Trends tell us about COVID-19 pandemic and employment expectations in the EU new member states?
Article in Technological forecasting and social change, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
4 citing papers in PubMed, 25 citations in OpenAlex.
- Effects of the first wave of COVID-19 pandemic on implied stock market volatility: International evidence using a google trend measure.Journal of economic asymmetries · 2023Article
- Predicting mobility using limited data during early stages of a pandemic.Journal of business research · 2023Article
- Impact of Long Working Hours on Mental Health: Evidence from China.International journal of environmental research and public health · 2023Article
- Usefulness of open data to determine the incidence of COVID-19 and its relationship with atmospheric variables in Spain during the 2020 lockdown.Technological forecasting and social change · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.