A bridge between sentiment indicators: What does Google Trends tell us about COVID-19 pandemic and employment expectations in the EU new member states?
| Author | Affiliation |
|---|---|
Simionescu, Mihaela | |
Elsevier |
| Date |
|---|
2021 |
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.
| Journal | IF | AIF | AIF (min) | AIF (max) | Cat | AV | Year | Quartile |
|---|---|---|---|---|---|---|---|---|
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE | 10.884 | 5.825 | 5.041 | 6.609 | 2 | 1.75 | 2021 | Q1 |
| Journal | IF | AIF | Year |
|---|---|---|---|
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE | 10.884 | 5.825 | 2021 |
| Journal | Cite Score | SNIP | SJR | Year | Quartile |
|---|---|---|---|---|---|
Technological Forecasting and Social Change | 13.7 | 3.097 | 2.336 | 2021 | Q1 |