Objective:

To analyze the main explanatory factors of the labor poverty in the States of Mexico during the COVID-19 pandemic in 2020-2021.

Methodology:

It was elaborated spatial regression models with explanatory variables such as economic growth, level of integration of the Mexican states with the international economy, average schooling, employment in the informal sector of the economy, insecurity, and cumulative COVID-19 infections as proportion of the population.

Results:

Main results suggest that the variables of contraction in the Mexican states production and average schooling are significant for the control of the labor poverty, both showing negative relation, whilst average inflation rate, informal employment and cumulative COVID-19 infections are significant variables, which have positive coefficient, therefore these variables favor greater labor poverty rates.

Limitations:

The analysis period only considers the third quarter of 2020 to the third quarter of 2021.

Conclusions:

The main determinants of the labor poverty rate in the Mexican states during the COVID-19 pandemic are the average inflation, average schooling, and cumulative COVID-19 infections.

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