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Effects of the vaccination and public support on covid-19 cases and number of deaths in Sweden

Author

Listed:
  • Mike Tsionas

    (Montpellier Business School
    Lancaster University Management School)

  • Mikael A. Martins

    (Jönköping International Business School)

  • Almas Heshmati

    (Jönköping International Business School)

Abstract

There are large variations between and within countries’ performance in coping with the Covid-19 pandemic. This study assesses the efficiency of different provinces in Sweden in managing the pandemic. Its objective to estimate the relative efficiency of provinces during the pandemic and identify the key determinants of the level and variations in their performance. Performance is measured as efficiency in keeping the number of negative outcomes low and the number of positive outcomes high for given resources. It uses a parametric distance function approach with multi-input, multi-output, and a flexible functional form for estimating the provinces’ efficiency and the variations in this efficiency over time. Variations in their performance are attributed to the observable characteristics of their socioeconomic, locational, demographic, and healthcare resources. The empirical part is based on a panel data of the population in 21 provinces observed on a weekly basis from January 2020 to September 2021. In particular, the paper estimates the effects of public support and vaccinations on a reduction in the number of deaths and the spread of new cases. The level and variations in outcomes are explained by various provinces and local and national policies. The results show large variations in provinces’ performance and their persistence/transitory nature attributed to their observable characteristics. The paper suggests some policy recommendations to help cope with the threat of the pandemic post the removal of restrictions.

Suggested Citation

  • Mike Tsionas & Mikael A. Martins & Almas Heshmati, 2023. "Effects of the vaccination and public support on covid-19 cases and number of deaths in Sweden," Operational Research, Springer, vol. 23(3), pages 1-28, September.
    • Handle: RePEc:spr:operea:v:23:y:2023:i:3:d:10.1007_s12351-023-00794-6
    DOI: 10.1007/s12351-023-00794-6
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    1. Thiemo Fetzer & Lukas Hensel & Johannes Hermle & Christopher Roth, 2021. "Coronavirus Perceptions and Economic Anxiety," The Review of Economics and Statistics, MIT Press, vol. 103(5), pages 968–978-9, December.
    2. Kumbhakar, Subal C. & Tsionas, Efthymios G., 2006. "Estimation of stochastic frontier production functions with input-oriented technical efficiency," Journal of Econometrics, Elsevier, vol. 133(1), pages 71-96, July.
    3. David C. Wheelock & Paul W. Wilson, 2012. "Do Large Banks Have Lower Costs? New Estimates of Returns to Scale for U.S. Banks," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 44(1), pages 171-199, February.
    4. Leonardo Baccini & Abel Brodeur & Stephen Weymouth, 2021. "The COVID-19 pandemic and the 2020 US presidential election," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 739-767, April.
    5. Musau, Andrew & Kumbhakar, Subal C. & Mydland, Ørjan & Lien, Gudbrand, 2021. "Determinants of allocative and technical inefficiency in stochastic frontier models: An analysis of Norwegian electricity distribution firms," European Journal of Operational Research, Elsevier, vol. 288(3), pages 983-991.
    6. Ferdi Botha & John P. New & Sonja C. New & David C. Ribar & Nicolás Salamanca, 2021. "Implications of COVID-19 labour market shocks for inequality in financial wellbeing," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 655-689, April.
    7. Miyakawa, Daisuke & Oikawa, Koki & Ueda, Kozo, 2021. "Firm Exit during the COVID-19 Pandemic: Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 59(C).
    8. Surender Kumar & Shunsuke Managi, 2020. "Does Stringency of Lockdown Affect Air Quality? Evidence from Indian Cities," Economics of Disasters and Climate Change, Springer, vol. 4(3), pages 481-502, October.
    9. Nicholas W. Papageorge & Matthew V. Zahn & Michèle Belot & Eline Broek-Altenburg & Syngjoo Choi & Julian C. Jamison & Egon Tripodi, 2021. "Socio-demographic factors associated with self-protecting behavior during the Covid-19 pandemic," Journal of Population Economics, Springer;European Society for Population Economics, vol. 34(2), pages 691-738, April.
    10. Yun Qiu & Xi Chen & Wei Shi, 2020. "Impacts of social and economic factors on the transmission of coronavirus disease 2019 (COVID-19) in China," Journal of Population Economics, Springer;European Society for Population Economics, vol. 33(4), pages 1127-1172, October.
    11. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Panel data stochastic frontier model with determinants of persistent and transient inefficiency," European Journal of Operational Research, Elsevier, vol. 271(2), pages 746-755.
    12. Kumbhakar, Subal C. & Tsionas, Mike G., 2020. "On the estimation of technical and allocative efficiency in a panel stochastic production frontier system model: Some new formulations and generalizations," European Journal of Operational Research, Elsevier, vol. 287(2), pages 762-775.
    13. Benjamin Born & Alexander M Dietrich & Gernot J Müller, 2021. "The lockdown effect: A counterfactual for Sweden," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-13, April.
    14. Nina Haug & Lukas Geyrhofer & Alessandro Londei & Elma Dervic & Amélie Desvars-Larrive & Vittorio Loreto & Beate Pinior & Stefan Thurner & Peter Klimek, 2020. "Ranking the effectiveness of worldwide COVID-19 government interventions," Nature Human Behaviour, Nature, vol. 4(12), pages 1303-1312, December.
    15. Lai, Hung-pin & Kumbhakar, Subal C., 2018. "Endogeneity in panel data stochastic frontier model with determinants of persistent and transient inefficiency," Economics Letters, Elsevier, vol. 162(C), pages 5-9.
    16. Jasper Verschuur & Elco E Koks & Jim W Hall, 2021. "Global economic impacts of COVID-19 lockdown measures stand out in high-frequency shipping data," PLOS ONE, Public Library of Science, vol. 16(4), pages 1-16, April.
    17. Mike G. Tsionas, 2017. "“When, Where, and How” of Efficiency Estimation: Improved Procedures for Stochastic Frontier Modeling," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 112(519), pages 948-965, July.
    18. Cory Clark & Andrés Davila & Maxime Regis & Sascha Kraus, 2020. "Predictors of COVID-19 voluntary compliance behaviors: An international investigation," Post-Print hal-04129328, HAL.
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    More about this item

    Keywords

    OR in health services; Covid-19; Public support; Vaccinations; Performance analysis;
    All these keywords.

    JEL classification:

    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • H11 - Public Economics - - Structure and Scope of Government - - - Structure and Scope of Government
    • H51 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Health
    • H75 - Public Economics - - State and Local Government; Intergovernmental Relations - - - State and Local Government: Health, Education, and Welfare
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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