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Impact of COVID-19-Related Lockdown Measures on Economic and Social Outcomes in Lithuania

Author

Listed:
  • Jurgita Markevičiūtė

    (Institute of Applied Mathematics, Vilnius University, Naugarduko St. 24, LT-03225 Vilnius, Lithuania)

  • Jolita Bernatavičienė

    (Institute of Data Science and Digital Technologies, Vilnius University, Akademijos Str. 4, LT-08412 Vilnius, Lithuania)

  • Rūta Levulienė

    (Institute of Applied Mathematics, Vilnius University, Naugarduko St. 24, LT-03225 Vilnius, Lithuania)

  • Viktor Medvedev

    (Institute of Data Science and Digital Technologies, Vilnius University, Akademijos Str. 4, LT-08412 Vilnius, Lithuania)

  • Povilas Treigys

    (Institute of Data Science and Digital Technologies, Vilnius University, Akademijos Str. 4, LT-08412 Vilnius, Lithuania)

  • Julius Venskus

    (Institute of Applied Mathematics, Vilnius University, Naugarduko St. 24, LT-03225 Vilnius, Lithuania)

Abstract

The current world crisis caused by the COVID-19 pandemic has transformed into an economic crisis, becoming a problem and a challenge not only for individual national economies but also for the world economy as a whole. The first global lockdown, which started in mid-March of 2020 and lasted for three months in Lithuania, affected the movement and behavior of the population, and had an impact on the economy. This research presents results on the impact of lockdown measures on the economy using nonparametric methods in combination with parametric ones. The impact on unemployment and salary inequality was estimated. To assess the impact of lockdown on the labor market, the analysis of the dynamics of the unemployment rate was performed using the results of the cluster analysis. The Lithuanian data were analyzed in the context of other countries, where the dynamics of the spread of the virus were similar. The salary inequality was measured by the Gini coefficient and analyzed using change point analysis, functional data analysis and linear regression. The study found that the greatest impact of the closure restrictions on socio-economic indicators was recorded in 2020, with a lower impact in 2021. The proposed multi-step approach could be applied to other countries and to various types of shocks and interventions, not only the COVID-19 crisis, in order to avoid adverse economic and social outcomes.

Suggested Citation

  • Jurgita Markevičiūtė & Jolita Bernatavičienė & Rūta Levulienė & Viktor Medvedev & Povilas Treigys & Julius Venskus, 2022. "Impact of COVID-19-Related Lockdown Measures on Economic and Social Outcomes in Lithuania," Mathematics, MDPI, vol. 10(15), pages 1-20, August.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:15:p:2734-:d:878535
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    References listed on IDEAS

    as
    1. Andrew E. Clark & Anthony Lepinteur, 2022. "Pandemic Policy and Life Satisfaction in Europe," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 68(2), pages 393-408, June.
    2. Valentina Rivera & Francisca Castro, 2021. "Between Social Protests and a Global Pandemic: Working Transitions under the Economic Effects of COVID-19," Social Sciences, MDPI, vol. 10(4), pages 1-21, April.
    3. Maliszewska,Maryla & Mattoo,Aaditya & Van Der Mensbrugghe,Dominique, 2020. "The Potential Impact of COVID-19 on GDP and Trade : A Preliminary Assessment," Policy Research Working Paper Series 9211, The World Bank.
    4. Yves Tillé & Matti Langel, 2012. "Histogram-Based Interpolation of the Lorenz Curve and Gini Index for Grouped Data," The American Statistician, Taylor & Francis Journals, vol. 66(4), pages 225-231, November.
    5. López-Pintado, Sara & Romo, Juan, 2009. "On the Concept of Depth for Functional Data," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 718-734.
    6. Palomino, Juan C. & Rodríguez, Juan G. & Sebastian, Raquel, 2020. "Wage inequality and poverty effects of lockdown and social distancing in Europe," European Economic Review, Elsevier, vol. 129(C).
    7. Eksi, Ozan & Onur Tas, Bedri Kamil, 2022. "Time-varying effect of uncertainty shocks on unemployment," Economic Modelling, Elsevier, vol. 110(C).
    8. Victor Ginsburgh & Glenn Magerman & Ilaria Natali, 2021. "COVID-19 and the role of inequality in French regional departments," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 22(2), pages 311-327, March.
    9. Stefanie Stantcheva, 2022. "Inequalities in the times of a pandemic," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 37(109), pages 5-41.
    10. David R. Howell, 2002. "Increasing Earnings Inequality and Unemployment in Developed Countries: Markets, Institutions and the "Unified Theory"," SCEPA working paper series. 2002-01, Schwartz Center for Economic Policy Analysis (SCEPA), The New School.
    11. Katerina Aristodemou & Lucas Buchhass & Duco Claringbould, 2021. "The COVID-19 crisis in the EU: the resilience of healthcare systems, government responses and their socio-economic effects," Eurasian Economic Review, Springer;Eurasia Business and Economics Society, vol. 11(2), pages 251-281, June.
    12. Gintautas Dzemyda & Olga Kurasova & Julius Žilinskas, 2013. "Applications of Visualization," Springer Optimization and Its Applications, in: Multidimensional Data Visualization, edition 127, chapter 0, pages 179-226, Springer.
    13. Amory Martin & Maryia Markhvida & Stéphane Hallegatte & Brian Walsh, 2020. "Socio-Economic Impacts of COVID-19 on Household Consumption and Poverty," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 453-479, October.
    14. Martin Gonzalez & Alicia Menendez, 2000. "The Effect of Unemployment on Labor Earnings Inequality: Argentina in the Nineties," Working Papers 216, Princeton University, Woodrow Wilson School of Public and International Affairs, Research Program in Development Studies..
    15. David S. Matteson & Nicholas A. James, 2014. "A Nonparametric Approach for Multiple Change Point Analysis of Multivariate Data," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(505), pages 334-345, March.
    16. Muzhi Zhou & Man-Yee Kan, 2021. "The varying impacts of COVID-19 and its related measures in the UK: A year in review," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-21, September.
    17. Gintautas Dzemyda & Olga Kurasova & Julius Žilinskas, 2013. "Multidimensional Data Visualization," Springer Optimization and Its Applications, Springer, edition 127, number 978-1-4419-0236-8, September.
    18. Michael König & Adalbert Winkler, 2021. "COVID-19: Lockdowns, Fatality Rates and GDP Growth," Intereconomics: Review of European Economic Policy, Springer;ZBW - Leibniz Information Centre for Economics;Centre for European Policy Studies (CEPS), vol. 56(1), pages 32-39, January.
    19. Padhan, Rakesh & Prabheesh, K.P., 2021. "The economics of COVID-19 pandemic: A survey," Economic Analysis and Policy, Elsevier, vol. 70(C), pages 220-237.
    20. repec:pri:rpdevs:menendez_unemployment_ar is not listed on IDEAS
    21. Kong, Edward & Prinz, Daniel, 2020. "Disentangling policy effects using proxy data: Which shutdown policies affected unemployment during the COVID-19 pandemic?," Journal of Public Economics, Elsevier, vol. 189(C).
    22. Badi H. Baltagi, 2021. "Econometric Analysis of Panel Data," Springer Texts in Business and Economics, Springer, edition 6, number 978-3-030-53953-5, August.
    23. Dang, Hai-Anh H. & Viet Nguyen, Cuong, 2021. "Gender inequality during the COVID-19 pandemic: Income, expenditure, savings, and job loss," World Development, Elsevier, vol. 140(C).
    24. Fiona Tregenna, 2011. "Earnings inequality and unemployment in South Africa," International Review of Applied Economics, Taylor & Francis Journals, vol. 25(5), pages 585-598, September.
    25. Jaime Pinilla & Patricia Barber & Laura Vallejo-Torres & Silvia Rodríguez-Mireles & Beatriz G. López-Valcárcel & Luis Serra-Majem, 2021. "The Economic Impact of the SARS-COV-2 (COVID-19) Pandemic in Spain," IJERPH, MDPI, vol. 18(9), pages 1-13, April.
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