COVID-19 restrictions in the USwage vulnerability by education, race and gender

  1. Borja Gambau 1
  2. Juan C. Palomino 2
  3. Juan G. Rodríguez 3
  4. Raquel Sebastian 4
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

  2. 2 University of Oxford (UK), INET and Department of Social Policy and Intervention
  3. 3 Universidad Complutense de Madrid (Spain), ICAE, EQUALITAS and CEDESOG
  4. 4 Universidad Complutense de Madrid (Spain), ICAE and EQUALITAS
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Revista:
Documentos de Trabajo (ICAE)

ISSN: 2341-2356

Año de publicación: 2021

Número: 8

Páginas: 1-38

Tipo: Documento de Trabajo

DIALNET GOOGLE SCHOLAR lock_openDocta Complutense editor

Otras publicaciones en: Documentos de Trabajo (ICAE)

Resumen

We study the wage vulnerability to the stay-at-home orders and social distancing measures imposed to prevent COVID-19 contagion in the US by education, race, gender, and state. Under 2 months of lockdown plus 10 months of partial functioning we find that both wage inequality and poverty increase in the US for all social groups and states. For the whole country, we estimate an increase in inequality of 4.1 Gini points and of 9.7 percentage points for poverty, with uneven increases by race, gender, and education. The restrictions imposed to curb the spread of the pandemic produce a double process of divergence: both inequality within and between social groups increase, with education accounting for the largest part of the rise in inequality between groups. We also find that education level differences impact wage poverty risk more than differences by race or gender, making lower-educated groups the most vulnerable while graduates of any race and gender are similarly less exposed. When measuring mobility as the percentile rank change, most women with secondary education or higher move up, while most men without higher education suffer downward mobility. Our findings can inform public policy aiming to address the disparities in vulnerability to pandemic-related shocks across different socioeconomic groups.

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Fuente de los datos: Dialnet