Multidimensional and monetary poverty in Peru: Evidence of their evolution, determinants, and the impact of the pandemic

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The COVID-19 outbreak has left a profound economic aftermath, disrupting decades of consistent progress in poverty reduction in several countries. In this context, it is relevant to study the Peruvian economy since it experienced one of the highest COVID-19 mortality rates globally, its GDP declined...

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Detalles Bibliográficos
Autores: Urbina Padilla, Dante Abelardo, Caceres Bautista, Nicole Ariana
Formato: artículo
Fecha de Publicación:2025
Institución:Universidad de Lima
Repositorio:ULIMA-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.ulima.edu.pe:20.500.12724/24432
Enlace del recurso:https://hdl.handle.net/20.500.12724/24432
http://dx.doi.org/10.4067/S0718-88702025000100003
Nivel de acceso:acceso abierto
Materia:Pendiente
https://purl.org/pe-repo/ocde/ford#5.02.05
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spelling Urbina Padilla, Dante AbelardoCaceres Bautista, Nicole ArianaUrbina Padilla, Dante Abelardo2026-03-02T20:53:01Z2026-03-02T20:53:01Z20250718-8870https://hdl.handle.net/20.500.12724/24432Revista De Analisis Economico0000000121541816SCIELO:S0718-88702025000100003http://dx.doi.org/10.4067/S0718-887020250001000032-s2.0-105004448874The COVID-19 outbreak has left a profound economic aftermath, disrupting decades of consistent progress in poverty reduction in several countries. In this context, it is relevant to study the Peruvian economy since it experienced one of the highest COVID-19 mortality rates globally, its GDP declined by 11% and its monetary poverty rate rose to 30%, a situation not observed since 2010. Therefore, to better understand Peru’s socioeconomic landscape after the pandemic, we construct a Multidimensional Poverty Index during the period 2019-2022 and compare it with monetary poverty using data sourced from the National Household Survey. We find that the latter was more volatile than multidimensional poverty. Employing logistic panel regressions, consistent patterns emerge in terms of the signs and statistical significance of the marginal effects for both poverty measurements across various weighting structures and poverty cutoffs. For instance, certain demographic groups, including rural women, those with only primary education, the unemployed and informal workers, exhibit a significantly heightened probability of experiencing both monetary and multidimensional poverty. The pandemic also increased the likelihood of experiencing both types of poverty across all scenarios considered. Conversely, individuals of mestizo ethnicity and those with higher education levels demonstrate a reduced likelihood of experiencing both types of poverty.htmlengUniversidad Alberto HurtadoCLurn:issn: 0718-8870info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/Pendientehttps://purl.org/pe-repo/ocde/ford#5.02.05Multidimensional and monetary poverty in Peru: Evidence of their evolution, determinants, and the impact of the pandemicinfo:eu-repo/semantics/articleArtículo (Scopus / SciELO)reponame:ULIMA-Institucionalinstname:Universidad de Limainstacron:ULIMA20.500.12724/24432oai:repositorio.ulima.edu.pe:20.500.12724/244322026-04-16 12:01:27.173Repositorio Universidad de Limarepositorio@ulima.edu.pe
dc.title.none.fl_str_mv Multidimensional and monetary poverty in Peru: Evidence of their evolution, determinants, and the impact of the pandemic
title Multidimensional and monetary poverty in Peru: Evidence of their evolution, determinants, and the impact of the pandemic
spellingShingle Multidimensional and monetary poverty in Peru: Evidence of their evolution, determinants, and the impact of the pandemic
Urbina Padilla, Dante Abelardo
Pendiente
https://purl.org/pe-repo/ocde/ford#5.02.05
title_short Multidimensional and monetary poverty in Peru: Evidence of their evolution, determinants, and the impact of the pandemic
title_full Multidimensional and monetary poverty in Peru: Evidence of their evolution, determinants, and the impact of the pandemic
title_fullStr Multidimensional and monetary poverty in Peru: Evidence of their evolution, determinants, and the impact of the pandemic
title_full_unstemmed Multidimensional and monetary poverty in Peru: Evidence of their evolution, determinants, and the impact of the pandemic
title_sort Multidimensional and monetary poverty in Peru: Evidence of their evolution, determinants, and the impact of the pandemic
author Urbina Padilla, Dante Abelardo
author_facet Urbina Padilla, Dante Abelardo
Caceres Bautista, Nicole Ariana
author_role author
author2 Caceres Bautista, Nicole Ariana
author2_role author
dc.contributor.other.none.fl_str_mv Urbina Padilla, Dante Abelardo
dc.contributor.author.fl_str_mv Urbina Padilla, Dante Abelardo
Caceres Bautista, Nicole Ariana
dc.subject.none.fl_str_mv Pendiente
topic Pendiente
https://purl.org/pe-repo/ocde/ford#5.02.05
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#5.02.05
description The COVID-19 outbreak has left a profound economic aftermath, disrupting decades of consistent progress in poverty reduction in several countries. In this context, it is relevant to study the Peruvian economy since it experienced one of the highest COVID-19 mortality rates globally, its GDP declined by 11% and its monetary poverty rate rose to 30%, a situation not observed since 2010. Therefore, to better understand Peru’s socioeconomic landscape after the pandemic, we construct a Multidimensional Poverty Index during the period 2019-2022 and compare it with monetary poverty using data sourced from the National Household Survey. We find that the latter was more volatile than multidimensional poverty. Employing logistic panel regressions, consistent patterns emerge in terms of the signs and statistical significance of the marginal effects for both poverty measurements across various weighting structures and poverty cutoffs. For instance, certain demographic groups, including rural women, those with only primary education, the unemployed and informal workers, exhibit a significantly heightened probability of experiencing both monetary and multidimensional poverty. The pandemic also increased the likelihood of experiencing both types of poverty across all scenarios considered. Conversely, individuals of mestizo ethnicity and those with higher education levels demonstrate a reduced likelihood of experiencing both types of poverty.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2026-03-02T20:53:01Z
dc.date.available.none.fl_str_mv 2026-03-02T20:53:01Z
dc.date.issued.fl_str_mv 2025
dc.type.none.fl_str_mv info:eu-repo/semantics/article
dc.type.other.none.fl_str_mv Artículo (Scopus / SciELO)
format article
dc.identifier.issn.none.fl_str_mv 0718-8870
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12724/24432
dc.identifier.journal.none.fl_str_mv Revista De Analisis Economico
dc.identifier.isni.none.fl_str_mv 0000000121541816
dc.identifier.scieloid.none.fl_str_mv SCIELO:S0718-88702025000100003
dc.identifier.doi.none.fl_str_mv http://dx.doi.org/10.4067/S0718-88702025000100003
dc.identifier.scopusid.none.fl_str_mv 2-s2.0-105004448874
identifier_str_mv 0718-8870
Revista De Analisis Economico
0000000121541816
SCIELO:S0718-88702025000100003
2-s2.0-105004448874
url https://hdl.handle.net/20.500.12724/24432
http://dx.doi.org/10.4067/S0718-88702025000100003
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv urn:issn: 0718-8870
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
dc.format.none.fl_str_mv html
dc.publisher.none.fl_str_mv Universidad Alberto Hurtado
dc.publisher.country.none.fl_str_mv CL
publisher.none.fl_str_mv Universidad Alberto Hurtado
dc.source.none.fl_str_mv reponame:ULIMA-Institucional
instname:Universidad de Lima
instacron:ULIMA
instname_str Universidad de Lima
instacron_str ULIMA
institution ULIMA
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repository.name.fl_str_mv Repositorio Universidad de Lima
repository.mail.fl_str_mv repositorio@ulima.edu.pe
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