This paper use a new database for Mexico to model the possible long-run effects of the pandemic on learning. First, based on the framework of Neidhöfer et al. (2021), the authors estimate the loss of schooling due to the transition from in-person to remote learning using data from the ESRU Survey on Social Mobility in Mexico 2017 (ESRU-EMOVI-2017), census data and national statistics of COVID-19 incidence.
Economic Inequality meets Social Stratification: An Application of Stratification Economics to MexicoCEEY 2021-07-30T15:09:47-05:00
This paper argues that explaining both the level and the changes in the inequality of the distribution of economic resources in society requires complementing explanations based on human capital theory with insights from social stratification theory.
Este artículo analiza los efectos distributivos de la crisis económica provocada por la pandemia de COVID-19 en México.
A Land of Unequal Chances: Social Mobility Across [...]
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