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The impact of unemployment insurance on reinsertion wages in 2015 in the rural environment of Brazil

Bibliographic Data

ID4010959
AuthorsDomingos Isaias Maia Amorim (0000-0001-6825-2317, Universidade de São Paulo), Francisco José Silva Tabosa (0000-0003-1280-8907, Universidade Federal do Ceará), Alexandre Nunes De Almeida (0000-0002-0680-5446, Universidade de São Paulo), Pablo Urano De Carvalho Castelar (0000-0001-9990-7873, Universidade Federal do Ceará)
Year2023
Volume61
Issue1
Publication date2023-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRevista de Economia e Sociologia Rural (JOURNAL)
Journal identifiersISSN: 0103-2003 • E-ISSN: 1806-9479
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/1806-9479.2021.242480
OpenAlexW4212860384
SCIELO_PIDS0103-20032023000100205
LanguageEN
References cited28

This work sought to provide new evidence on the impact of the Brazilian Unemployment Insurance Program (Programa Seguro-Desemprego) on the reinsertion wages of its beneficiaries, considering the Brazilian rural environment. Datafrom the National Household Sample Survey (Pesquisa Nacional por Amostra de Domicílios- PNAD) of 2015 was used, as well as the Sharp model discontinuity regression method. The results showed a positive effect on the reinsertion wages of individuals who participated in the Unemployment Insurance Program in rural Brazil. When disaggregating by Brazilian regions, the Southeast region had a greater positive effect on reinsertion wages, while the Midwest region has a negative effect on workers who participated in the Unemployment Insurance Program. Among the main conclusions, it is a fact that the Unemployment Insurance program had a positive effect for Brazilian formal rural workers residing in the Southeast of the country, but a negative effect for those residing in the Center-West region of Brazil

Demographic economics · Economic growth · Economics · Labour economics · Political science · Regression discontinuity design · Rural area · Sample (material) · Unemployment · Income, Poverty, and Inequality · Labor market dynamics and wage inequality · Rural Development and Agriculture

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