| Title |
COVID-19 infection in Lithuania: analysis of social-economic consequences / |
| Authors |
Markevičiūtė, Jurgita ; Bernatavičienė, Jolita ; Levulienė, Rūta ; Medvedev, Viktor ; Treigys, Povilas |
| DOI |
10.15388/DAMSS.12.2021 |
| ISBN |
9786090706732 |
| eISBN |
9786090706749 |
| Full Text |
|
| Is Part of |
DAMSS: 12th conference on data analysis methods for software systems, Druskininkai, Lithuania, December 2–4, 2021.. Vilnius : Vilnius University Press, 2021. p. 48.. ISBN 9786090706732. eISBN 9786090706749 |
| Keywords [eng] |
COVID-19 ; social-economic impact ; statistic ; machine learning |
| Abstract [eng] |
Using statistics, econometrics, machine learning, and functional data analysis methods, we evaluate the consequences of the lockdown during the COVID-19 pandemics for wage inequality and unemployment. We deduce that these two indicators mostly reacted to the first lockdown from March till June 2020. Also, analysing wage inequality, we conduct analysis separately for males and females and different age groups.We noticed that young females were affected mostly by the lockdown.Nevertheless, all the groups reacted to the lockdown at some level. |
| Published |
Vilnius : Vilnius University Press, 2021 |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2021 |
| CC license |
|
