<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>91</volume><submitter>Monroy-Gomez-Franco L</submitter><pubmed_abstract>In this paper, we use a new database for Mexico to model the possible long-run effects of the pandemic on learning. First, based on the framework of Neidhöffer et al. (2021), we estimate the loss of schooling due to the transition from in-person to remote learning using data from the National Survey on Social Mobility (ESRU-EMOVI-2017), census data, and national statistics of COVID-19 incidence. In this estimation, we account for the attenuation capacity of households by econsidering the parental educational attainment and the economic resources available to the household in the calculation of the short-run cost. Secondly, we estimate the potential long-run consequences of this shock through a calibrated learning profile for five Mexican regions following Kaffenberger and Pritchett (2020a,</pubmed_abstract><journal>International journal of educational development</journal><pagination>102581</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8920787</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>The potential effects of the COVID-19 pandemic on learnings.</pubmed_title><pmcid>PMC8920787</pmcid><pubmed_authors>Monroy-Gomez-Franco L</pubmed_authors><pubmed_authors>Velez-Grajales R</pubmed_authors><pubmed_authors>Lopez-Calva LF</pubmed_authors></additional><is_claimable>false</is_claimable><name>The potential effects of the COVID-19 pandemic on learnings.</name><description>In this paper, we use a new database for Mexico to model the possible long-run effects of the pandemic on learning. First, based on the framework of Neidhöffer et al. (2021), we estimate the loss of schooling due to the transition from in-person to remote learning using data from the National Survey on Social Mobility (ESRU-EMOVI-2017), census data, and national statistics of COVID-19 incidence. In this estimation, we account for the attenuation capacity of households by econsidering the parental educational attainment and the economic resources available to the household in the calculation of the short-run cost. Secondly, we estimate the potential long-run consequences of this shock through a calibrated learning profile for five Mexican regions following Kaffenberger and Pritchett (2020a,</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 May</publication><modification>2025-04-19T09:22:25.425Z</modification><creation>2025-04-19T09:22:25.425Z</creation></dates><accession>S-EPMC8920787</accession><cross_references><pubmed>35308115</pubmed><doi>10.1016/j.ijedudev.2022.102581</doi></cross_references></HashMap>