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The dynamics of COVID-19: An empirical analysis with a view to spatial health econometrics using macrodata

Author

Listed:
  • Irene González Rodríguez
  • Marta Pascual Sáez
  • David Cantarero Prieto

Abstract

The impact of the COVID-19 pandemic is not the same between regions. The aim of this study is to assess whether the infection rate depends on socioeconomic factors and whether there are spatial interactions between the Spanish regions. To this end, the Moran's test and spatial econometric models are used. The results suggest that the COVID-19 cases tends to form spatial clusters. In addition, the population density, the illiteracy rate and the unemployment rate are found to influence the spread of the coronavirus. Our analysis can be considered to apply policy intervention measures to reduce health population inequalities.

Suggested Citation

  • Irene González Rodríguez & Marta Pascual Sáez & David Cantarero Prieto, 2022. "The dynamics of COVID-19: An empirical analysis with a view to spatial health econometrics using macrodata," Working Papers. Collection B: Regional and sectoral economics 2201, Universidade de Vigo, GEN - Governance and Economics research Network.
    • Handle: RePEc:gov:wpregi:2201
    as

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    File URL: http://infogen.webs.uvigo.es/WPB/WP2201.pdf
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    References listed on IDEAS

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    More about this item

    Keywords

    COVID-19; spatial econometrics; socioeconomic inequalities; Spain.;
    All these keywords.

    JEL classification:

    • I14 - Health, Education, and Welfare - - Health - - - Health and Inequality

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    This paper has been announced in the following NEP Reports:

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