Pandemia da Covid-19 e ocupação no mercado de trabalho Uberizado no Brasil

Authors

DOI:

https://doi.org/10.1590/65j4j483

Abstract

With the advent of the Covid pandemic, economic activities and especially the labor market have been extremely impacted worldwide, especially in relation to delivery workers and app drivers, who make up the so-called uberized work. The aim of this study is therefore to analyze the influence of the Covid-19 pandemic, which began in 2020, on the probability of occupation in the uberized labor market in Brazil, covering the period from the first quarter of 2016 to the second quarter of 2021. To this end, a Probit model was estimated using data from the Continuous National Household Sample Survey (PNADC) of the Brazilian Institute of Geography and Statistics (IBGE), comprising individuals aged 14 to 65. There was a positive and statistically significant influence of the COVID-19 pandemic on the probability of being employed in the uberized labor market if this is the individual's main job.

Author Biographies

  • Pedro Rodrigues Oliveira, USP

    Mestrando em Economia Aplicada pela Esalq/USP e graduado em Ciências Econômicas pela Universidade Federal de Viçosa (UFV).

  • Evandro Camargos Teixeira, Federal University of Viçosa

    Professor Associado II do Departamento de Economia da Universidade Federal de Viçosa (UFV)

    Possui doutorado em Economia Aplicada pela ESALQ/USP, mestrado em Desenvolvimento Econômico pela Universidade Federal do Paraná (UFPR) e graduação em Ciências Econômicas pela Universidade Federal de Juiz de Fora (UFJF).

Published

2026-03-13

Issue

Vol. 35 No. 1 (2026): Economia e Sociedade

Section

Article

License

Authors who publish in this journal agree to the following terms: Authors retain copyright and grant the journal the right of first publication, with the work simultaneously licensed under a Creative Commons Attribution License, which allows the sharing of the work with acknowledgment of authorship and initial publication in this journal. Authors are authorized to enter into additional contracts separately for the non-exclusive distribution of the version of the work published in this journal (e.g., publish in an institutional repository or as a book chapter), with acknowledgment of authorship and initial publication in this journal. All content of the journal, except where identified, is licensed under a Creative Commons Attribution BY-NC License.