IDEAS home Printed from https://ideas.repec.org/a/spt/stecon/v12y2023i2f12_2_1.html

Social Distancing, Vaccination and Evolution of Covid-19: A Panel-Model Analysis

Author

Listed:
  • Eduardo Lima Campos
  • Rubens Penha Cysne
  • Alexandre Madureira

Abstract

This work discusses the impact of social distancing and vaccination on the monthly variation rate of new cases and deaths of COVID-19 around the world. A statistical panel-regression model was applied to daily data for 131 countries from March, 2020 to December, 2021. The setting of suitable control variables was essential to achieve reliable results. We found, as a possible consequence of strict social distancing, a decrease of around 5.5 percentage points in the growth rate of both new cases and deaths, before vaccination. The possible impact of progress in vaccination, in 2021 was even stronger: a decrease of 9 and 12 percentage points on the growth of new cases and deaths, respectively. As a final conclusion, our dataset and the method employed did not allow to exclude either the hypothesis that strict social distancing was an important measure to control the pandemic before the advent of vaccines, nor the conjuncture that the impact of vaccination has been stronger, mainly with regard to deaths. JEL classification numbers: C13, C33, I18.

Suggested Citation

  • Eduardo Lima Campos & Rubens Penha Cysne & Alexandre Madureira, 2023. "Social Distancing, Vaccination and Evolution of Covid-19: A Panel-Model Analysis," Journal of Statistical and Econometric Methods, SCIENPRESS Ltd, vol. 12(2), pages 1-1.
    • Handle: RePEc:spt:stecon:v:12:y:2023:i:2:f:12_2_1
    as

    Download full text from publisher

    File URL: http://www.scienpress.com/Upload/JSEM%2fVol%2012_2_1.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spt:stecon:v:12:y:2023:i:2:f:12_2_1. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Eleftherios Spyromitros-Xioufis (email available below). General contact details of provider: http://www.scienpress.com/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.