Direct and Indirect Effects of Lockdown Policies on Poverty and Inequality in Latin America

We estimate the possible effects on poverty and income distribution of the crisis unleashed by Covid-19 on a group of Latin America and Caribbean countries, representing 80% of the total population in the region: Argentina, Brasil, Chile, Colombia, Ecuador, Honduras, Mexico, Paraguay, Peru, and Urug...

Full description

Autores:
Álvarez, Andrés
Becerra, Oscar
Bernal, Catalina
Daly, Julio
Quigua, Juliana
Cruz Aguayo, Yyannu
Tipo de recurso:
Work document
Fecha de publicación:
2021
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/49801
Acceso en línea:
http://hdl.handle.net/1992/49801
Palabra clave:
COVID-19
Poverty
Inequality
Latin America
Lockdown policies
Simulations
N36, I38, I14, D57
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/
id UNIANDES2_ee581f5d096c8df69b3d26230931cff0
oai_identifier_str oai:repositorio.uniandes.edu.co:1992/49801
network_acronym_str UNIANDES2
network_name_str Séneca: repositorio Uniandes
repository_id_str
spelling Al consultar y hacer uso de este recurso, está aceptando las condiciones de uso establecidas por los autores.http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Álvarez, Andrés99ac7918-9edf-401d-a846-50607fd6b61b400Becerra, Oscar0e0e8c8c-d3b5-4c13-bbc9-23542dfcd3d2400Bernal, Catalinad07159f9-0311-43b2-a420-27b24eb4ee32500Daly, Julio7ad50d2c-cda5-46b2-8a41-0530a45852b5500Quigua, Juliana2b4f0287-65e2-4e7e-bb5b-ea83df6f53c6500Cruz Aguayo, Yyannuc1492907-4b02-409b-bea0-c2172da6ad9c5002021-04-20T18:26:23Z2021-04-20T18:26:23Z2021http://hdl.handle.net/1992/498011657-719110.57784/1992/49801instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/We estimate the possible effects on poverty and income distribution of the crisis unleashed by Covid-19 on a group of Latin America and Caribbean countries, representing 80% of the total population in the region: Argentina, Brasil, Chile, Colombia, Ecuador, Honduras, Mexico, Paraguay, Peru, and Uruguay. We use household survey data from pre-crisis national household surveys and, based on prospective scenarios of vulnerability to the shock, we compute the impact that income losses may have on a country's poverty levels and inequality. Our vulnerability scenarios are based on the national policies used to prevent the rapid expansion of the Coronavirus. Additionally, for a sub-sample of 6 countries (Brazil, Chile, Colombia, Ecuador, Mexico and Peru) we use Input-Output linkages to estimate direct and indirect shocks to consider how the differences of the productive structures, economic linkages, and labor market characteristics of each country could result in different effects on poverty and inequality. We find a significant increase on poverty headcount ranging from 25% to 33% percent in our different estimations. The results show heterogeneity on the exposure to the shocks. Two main factors explain differences across countries: their level of specialization in activities labeled as essential (e.g., agriculture, public sector, food retail) and their level of employment protection and stability (i.e., type of contract and employment in larger firms). We find a higher vulnerability to the propagation of the shocks in countries with a bigger agricultural sector, and less vulnerability in countries with bigger firms, and lower informality.51 páginasapplication/pdfengUniversidad de los Andes, Facultad de Economía, CEDEDocumentos CEDE No. 21 Abril de 2021https://ideas.repec.org/p/col/000089/019235.htmlDirect and Indirect Effects of Lockdown Policies on Poverty and Inequality in Latin AmericaDocumento de trabajoinfo:eu-repo/semantics/workingPaperhttp://purl.org/coar/resource_type/c_8042http://purl.org/coar/version/c_970fb48d4fbd8a85Texthttps://purl.org/redcol/resource_type/WPCOVID-19PovertyInequalityLatin AmericaLockdown policiesSimulationsN36, I38, I14, D57Facultad de EconomíaPublicationTHUMBNAILdcede2021-21.pdf.jpgdcede2021-21.pdf.jpgIM Thumbnailimage/jpeg19011https://repositorio.uniandes.edu.co/bitstreams/942c9ec6-5297-424e-87b6-b4e0109f8856/downloadda784f689e76d8a04cbe9ad6ed53dcb2MD55ORIGINALdcede2021-21.pdfdcede2021-21.pdfapplication/pdf12751726https://repositorio.uniandes.edu.co/bitstreams/f6f443ed-2e58-40ea-9e73-392d9f3852d4/download9d696afca530b4362b980eb92f96c321MD51TEXTdcede2021-21.pdf.txtdcede2021-21.pdf.txtExtracted texttext/plain88646https://repositorio.uniandes.edu.co/bitstreams/c7f25584-c835-4b5b-b3da-b7cac47d9697/download6c0850a761af97494f0f84cdeea5aa5eMD541992/49801oai:repositorio.uniandes.edu.co:1992/498012024-06-04 15:48:40.529http://creativecommons.org/licenses/by-nc-nd/4.0/open.accesshttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.co
dc.title.none.fl_str_mv Direct and Indirect Effects of Lockdown Policies on Poverty and Inequality in Latin America
title Direct and Indirect Effects of Lockdown Policies on Poverty and Inequality in Latin America
spellingShingle Direct and Indirect Effects of Lockdown Policies on Poverty and Inequality in Latin America
COVID-19
Poverty
Inequality
Latin America
Lockdown policies
Simulations
N36, I38, I14, D57
title_short Direct and Indirect Effects of Lockdown Policies on Poverty and Inequality in Latin America
title_full Direct and Indirect Effects of Lockdown Policies on Poverty and Inequality in Latin America
title_fullStr Direct and Indirect Effects of Lockdown Policies on Poverty and Inequality in Latin America
title_full_unstemmed Direct and Indirect Effects of Lockdown Policies on Poverty and Inequality in Latin America
title_sort Direct and Indirect Effects of Lockdown Policies on Poverty and Inequality in Latin America
dc.creator.fl_str_mv Álvarez, Andrés
Becerra, Oscar
Bernal, Catalina
Daly, Julio
Quigua, Juliana
Cruz Aguayo, Yyannu
dc.contributor.author.none.fl_str_mv Álvarez, Andrés
Becerra, Oscar
Bernal, Catalina
Daly, Julio
Quigua, Juliana
Cruz Aguayo, Yyannu
dc.subject.keyword.none.fl_str_mv COVID-19
Poverty
Inequality
Latin America
Lockdown policies
Simulations
topic COVID-19
Poverty
Inequality
Latin America
Lockdown policies
Simulations
N36, I38, I14, D57
dc.subject.jel.none.fl_str_mv N36, I38, I14, D57
description We estimate the possible effects on poverty and income distribution of the crisis unleashed by Covid-19 on a group of Latin America and Caribbean countries, representing 80% of the total population in the region: Argentina, Brasil, Chile, Colombia, Ecuador, Honduras, Mexico, Paraguay, Peru, and Uruguay. We use household survey data from pre-crisis national household surveys and, based on prospective scenarios of vulnerability to the shock, we compute the impact that income losses may have on a country's poverty levels and inequality. Our vulnerability scenarios are based on the national policies used to prevent the rapid expansion of the Coronavirus. Additionally, for a sub-sample of 6 countries (Brazil, Chile, Colombia, Ecuador, Mexico and Peru) we use Input-Output linkages to estimate direct and indirect shocks to consider how the differences of the productive structures, economic linkages, and labor market characteristics of each country could result in different effects on poverty and inequality. We find a significant increase on poverty headcount ranging from 25% to 33% percent in our different estimations. The results show heterogeneity on the exposure to the shocks. Two main factors explain differences across countries: their level of specialization in activities labeled as essential (e.g., agriculture, public sector, food retail) and their level of employment protection and stability (i.e., type of contract and employment in larger firms). We find a higher vulnerability to the propagation of the shocks in countries with a bigger agricultural sector, and less vulnerability in countries with bigger firms, and lower informality.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-04-20T18:26:23Z
dc.date.available.none.fl_str_mv 2021-04-20T18:26:23Z
dc.date.issued.none.fl_str_mv 2021
dc.type.spa.fl_str_mv Documento de trabajo
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/workingPaper
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_8042
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv https://purl.org/redcol/resource_type/WP
format http://purl.org/coar/resource_type/c_8042
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/1992/49801
dc.identifier.eissn.none.fl_str_mv 1657-7191
dc.identifier.doi.none.fl_str_mv 10.57784/1992/49801
dc.identifier.instname.spa.fl_str_mv instname:Universidad de los Andes
dc.identifier.reponame.spa.fl_str_mv reponame:Repositorio Institucional Séneca
dc.identifier.repourl.spa.fl_str_mv repourl:https://repositorio.uniandes.edu.co/
url http://hdl.handle.net/1992/49801
identifier_str_mv 1657-7191
10.57784/1992/49801
instname:Universidad de los Andes
reponame:Repositorio Institucional Séneca
repourl:https://repositorio.uniandes.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofseries.none.fl_str_mv Documentos CEDE No. 21 Abril de 2021
dc.relation.repec.spa.fl_str_mv https://ideas.repec.org/p/col/000089/019235.html
dc.rights.uri.*.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.coar.spa.fl_str_mv http://purl.org/coar/access_right/c_abf2
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.extent.none.fl_str_mv 51 páginas
dc.format.mimetype.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad de los Andes, Facultad de Economía, CEDE
publisher.none.fl_str_mv Universidad de los Andes, Facultad de Economía, CEDE
institution Universidad de los Andes
bitstream.url.fl_str_mv https://repositorio.uniandes.edu.co/bitstreams/942c9ec6-5297-424e-87b6-b4e0109f8856/download
https://repositorio.uniandes.edu.co/bitstreams/f6f443ed-2e58-40ea-9e73-392d9f3852d4/download
https://repositorio.uniandes.edu.co/bitstreams/c7f25584-c835-4b5b-b3da-b7cac47d9697/download
bitstream.checksum.fl_str_mv da784f689e76d8a04cbe9ad6ed53dcb2
9d696afca530b4362b980eb92f96c321
6c0850a761af97494f0f84cdeea5aa5e
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
repository.name.fl_str_mv Repositorio institucional Séneca
repository.mail.fl_str_mv adminrepositorio@uniandes.edu.co
_version_ 1812134060710952960