Socioeconomic Status and Mobility during the COVID-19 Pandemic: An Analysis of Eight Large Latin American Cities
This study analyzes mobility patterns during the COVID-19 pandemic for eight large Latin American cities. Indicators of mobility by socioeconomic status (SES) are generated by combining georeferenced mobile phone information with granular census data. Before the pandemic, a strong positive association between SES and mobility is documented. With the arrival of the pandemic, in most cases, a negative association between mobility and SES emerges. This new pattern is explained by a notably stronger reduction in mobility by high-SES individuals. A comparison of mobility for SES decile 1 vs decile 10 shows that, on average, the reduction is 75% larger in the case of decile 10. According to estimated lasso models, an indicator of government restrictions provides a parsimonious description of these heterogeneous responses. These estimations point to noticeable similarities in the patterns observed across cities. We also explore how the median distance traveled changed for individuals that travel at least 1 km (the intensive margin). We find that the reduction in mobility in this indicator was larger for high-SES individuals compared to low-SES individuals in six out of eight cities analyzed. The evidence is consistent with asymmetries in the feasibility of working from home and in the ability to smooth consumption under temporary income shocks.
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Language: | English |
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Inter-American Development Bank
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Subjects: | Coronavirus, Pandemic, Mobile Phone System, Geographic Information System, I1 - Health, R4 - Transportation Economics, R2 - Household Analysis, mobility;COVID-19;COVID-19;COVID-19;COVID-19;COVID-19;Socioeconomic status, |
Online Access: | http://dx.doi.org/10.18235/0003315 https://publications.iadb.org/en/socioeconomic-status-and-mobility-during-covid-19-pandemic-analysis-eight-large-latin-american |
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dig-bid-node-303142023-09-12T20:16:56ZSocioeconomic Status and Mobility during the COVID-19 Pandemic: An Analysis of Eight Large Latin American Cities 2021-06-04T00:00:00+0000 http://dx.doi.org/10.18235/0003315 https://publications.iadb.org/en/socioeconomic-status-and-mobility-during-covid-19-pandemic-analysis-eight-large-latin-american Inter-American Development Bank Coronavirus Pandemic Mobile Phone System Geographic Information System I1 - Health, R4 - Transportation Economics, R2 - Household Analysis mobility;COVID-19;COVID-19;COVID-19;COVID-19;COVID-19;Socioeconomic status This study analyzes mobility patterns during the COVID-19 pandemic for eight large Latin American cities. Indicators of mobility by socioeconomic status (SES) are generated by combining georeferenced mobile phone information with granular census data. Before the pandemic, a strong positive association between SES and mobility is documented. With the arrival of the pandemic, in most cases, a negative association between mobility and SES emerges. This new pattern is explained by a notably stronger reduction in mobility by high-SES individuals. A comparison of mobility for SES decile 1 vs decile 10 shows that, on average, the reduction is 75% larger in the case of decile 10. According to estimated lasso models, an indicator of government restrictions provides a parsimonious description of these heterogeneous responses. These estimations point to noticeable similarities in the patterns observed across cities. We also explore how the median distance traveled changed for individuals that travel at least 1 km (the intensive margin). We find that the reduction in mobility in this indicator was larger for high-SES individuals compared to low-SES individuals in six out of eight cities analyzed. The evidence is consistent with asymmetries in the feasibility of working from home and in the ability to smooth consumption under temporary income shocks. Inter-American Development Bank Daniel Aromi María Paula Bonel Julian P. Cristia Martín Llada Luis Palomino application/pdf IDB Publications Brazil Colombia Mexico Argentina Chile Ecuador Latin America en |
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Coronavirus Pandemic Mobile Phone System Geographic Information System I1 - Health, R4 - Transportation Economics, R2 - Household Analysis mobility;COVID-19;COVID-19;COVID-19;COVID-19;COVID-19;Socioeconomic status Coronavirus Pandemic Mobile Phone System Geographic Information System I1 - Health, R4 - Transportation Economics, R2 - Household Analysis mobility;COVID-19;COVID-19;COVID-19;COVID-19;COVID-19;Socioeconomic status |
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Coronavirus Pandemic Mobile Phone System Geographic Information System I1 - Health, R4 - Transportation Economics, R2 - Household Analysis mobility;COVID-19;COVID-19;COVID-19;COVID-19;COVID-19;Socioeconomic status Coronavirus Pandemic Mobile Phone System Geographic Information System I1 - Health, R4 - Transportation Economics, R2 - Household Analysis mobility;COVID-19;COVID-19;COVID-19;COVID-19;COVID-19;Socioeconomic status Inter-American Development Bank Socioeconomic Status and Mobility during the COVID-19 Pandemic: An Analysis of Eight Large Latin American Cities |
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This study analyzes mobility patterns during the COVID-19 pandemic for eight large Latin American cities. Indicators of mobility by socioeconomic status (SES) are generated by combining georeferenced mobile phone information with granular census data. Before the pandemic, a strong positive association between SES and mobility is documented. With the arrival of the pandemic, in most cases, a negative association between mobility and SES emerges. This new pattern is explained by a notably stronger reduction in mobility by high-SES individuals. A comparison of mobility for SES decile 1 vs decile 10 shows that, on average, the reduction is 75% larger in the case of decile 10. According to estimated lasso models, an indicator of government restrictions provides a parsimonious description of these heterogeneous responses. These estimations point to noticeable similarities in the patterns observed across cities. We also explore how the median distance traveled changed for individuals that travel at least 1 km (the intensive margin). We find that the reduction in mobility in this indicator was larger for high-SES individuals compared to low-SES individuals in six out of eight cities analyzed. The evidence is consistent with asymmetries in the feasibility of working from home and in the ability to smooth consumption under temporary income shocks. |
author2 |
Daniel Aromi |
author_facet |
Daniel Aromi Inter-American Development Bank |
topic_facet |
Coronavirus Pandemic Mobile Phone System Geographic Information System I1 - Health, R4 - Transportation Economics, R2 - Household Analysis mobility;COVID-19;COVID-19;COVID-19;COVID-19;COVID-19;Socioeconomic status |
author |
Inter-American Development Bank |
author_sort |
Inter-American Development Bank |
title |
Socioeconomic Status and Mobility during the COVID-19 Pandemic: An Analysis of Eight Large Latin American Cities |
title_short |
Socioeconomic Status and Mobility during the COVID-19 Pandemic: An Analysis of Eight Large Latin American Cities |
title_full |
Socioeconomic Status and Mobility during the COVID-19 Pandemic: An Analysis of Eight Large Latin American Cities |
title_fullStr |
Socioeconomic Status and Mobility during the COVID-19 Pandemic: An Analysis of Eight Large Latin American Cities |
title_full_unstemmed |
Socioeconomic Status and Mobility during the COVID-19 Pandemic: An Analysis of Eight Large Latin American Cities |
title_sort |
socioeconomic status and mobility during the covid-19 pandemic: an analysis of eight large latin american cities |
publisher |
Inter-American Development Bank |
url |
http://dx.doi.org/10.18235/0003315 https://publications.iadb.org/en/socioeconomic-status-and-mobility-during-covid-19-pandemic-analysis-eight-large-latin-american |
work_keys_str_mv |
AT interamericandevelopmentbank socioeconomicstatusandmobilityduringthecovid19pandemicananalysisofeightlargelatinamericancities |
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1819036494715682816 |