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Medidas de contención, evolución del empleo y propagación del Covid-19 en los municipios españoles

Author

Listed:
  • Eduardo Gutiérrez

    (Banco de España)

  • Enrique Moral-Benito

    (Banco de España)

Abstract

Con el objetivo de contener el avance del Covid-19, el Real Decreto-ley 10/2020, del 29 de marzo, estableció el cese de toda actividad considerada como no esencial entre el 30 de marzo y el 9 de abril de 2020, ambos inclusive. Este documento explota información a escala municipal para cuantificar el impacto de corto plazo que ha tenido esta medida, tanto sobre el empleo como sobre la contención de la pandemia. En concreto, el peso de las actividades no esenciales en cada municipio se relaciona con la evolución de la afiliación a la Seguridad Social y con los nuevos casos de Covid-19 diagnosticados a lo largo del mes de abril. Los resultados sugieren que aquellos municipios más afectados por el cese de las actividades no esenciales habrían sufrido mayores pérdidas de empleo, pero, a la vez, habrían experimentado una propagación menos virulenta de la pandemia durante el mes de abril. Finalmente, otras características, como una población más envejecida, unas temperaturas más frías, una densidad de población más elevada o una mayor cercanía a la capital de la provincia, también se asocian a una mayor incidencia del Covid-19 a escala municipal.

Suggested Citation

  • Eduardo Gutiérrez & Enrique Moral-Benito, 2020. "Medidas de contención, evolución del empleo y propagación del Covid-19 en los municipios españoles," Occasional Papers 2022, Banco de España.
  • Handle: RePEc:bde:opaper:2022
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    References listed on IDEAS

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    1. Martin Bodenstein & Giancarlo Corsetti & Luca Guerrieri, 2022. "Social distancing and supply disruptions in a pandemic," Quantitative Economics, Econometric Society, vol. 13(2), pages 681-721, May.
    2. Christopher R. Knittel & Bora Ozaltun, 2020. "What Does and Does Not Correlate with COVID-19 Death Rates," NBER Working Papers 27391, National Bureau of Economic Research, Inc.
    3. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asuman Ozdaglar, 2020. "Testing, Voluntary Social Distancing and the Spread of an Infection," NBER Working Papers 27483, National Bureau of Economic Research, Inc.
    4. Barro, Robert J., 2022. "Non-pharmaceutical interventions and mortality in U.S. cities during the great influenza pandemic, 1918–1919," Research in Economics, Elsevier, vol. 76(2), pages 93-106.
    5. Desmet, Klaus & Wacziarg, Romain, 2020. "Understanding Spatial Variation in COVID-19 across the United States," CEPR Discussion Papers 14842, C.E.P.R. Discussion Papers.
    6. Reda Cherif & Fuad Hasanov, 2020. "A TIP Against the COVID-19 Pandemic," IMF Working Papers 2020/114, International Monetary Fund.
    7. repec:aei:rpaper:1008563887 is not listed on IDEAS
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    More about this item

    Keywords

    Covid-19; pandemia; empleo; municipios españoles;
    All these keywords.

    JEL classification:

    • I1 - Health, Education, and Welfare - - Health
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods

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