Assessing the Permanent Income Hypothesis in Poor Areas: The Case of Rural Pensions in Brazil

dc.contributor.authorKomatsu, Bruno Kawaoka
dc.contributor.authorDias, Lucas
dc.contributor.authorNAERCIO AQUINO MENEZES FILHO
dc.creatorKomatsu, Bruno Kawaoka
dc.creatorDias, Lucas
dc.date.accessioned2025-01-20T17:17:38Z
dc.date.available2025-01-20T17:17:38Z
dc.date.issued2024
dc.description.abstractIn Brazil, poor women in family agriculture are entitled to a monthly unconditional pension from the government when they turn 55, a large predictable income increase for rural families. In this paper, we use a national family expenditure survey and a fuzzy regression discontinuity design strategy to estimate the impacts of that pension on consumption, finance and labor market indicators. We show that the pension increases income by 50%, but does not change the consumption of non-durables or food insecurity. Loans repayments rise upon receipt of the pension, which implies that access to credit allowed consumption smoothing. We also find heterogeneity of responses by socioeconomic status, with women with lower education levels driving the result, while those with higher education levels increased their non-durable spending. These findings lend support to the standard life-cycle consumption model, even in very poor environments.en
dc.formatDigital
dc.format.extent37 p.
dc.identifier.urihttps://repositorio.insper.edu.br/handle/11224/7250
dc.language.isoInglês
dc.publisherInsper
dc.subjectConsumption excess sensitivityen
dc.subjectRDDen
dc.subjectPension eligibilityen
dc.subjectConsumption smoothingen
dc.titleAssessing the Permanent Income Hypothesis in Poor Areas: The Case of Rural Pensions in Brazil
dspace.entity.typePublication
local.publisher.citySão Paulo
local.publisher.countryBrasil
local.subject.cnpqCIENCIAS SOCIAIS APLICADAS::ECONOMIA
local.subject.cnpqCIENCIAS SOCIAIS APLICADAS::ADMINISTRACAO
local.subject.cnpqCIENCIAS HUMANAS::SOCIOLOGIA
publicationissue.issueNumberBEWP 241/2024
relation.isAuthorOfPublicationf6aa41b4-c778-4302-9674-af120c85cc97
relation.isAuthorOfPublication.latestForDiscoveryf6aa41b4-c778-4302-9674-af120c85cc97

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