Determinings of farm work allocation in brazilian regions

Detalhes bibliográficos
Autor(a) principal: Cangussu Pessoa, Filipe de Morais
Data de Publicação: 2013
Outros Autores: Coronel, Daniel Arruda, Amorim, Airton Lopes, de Lima, João Eustáquio
Tipo de documento: Artigo
Idioma: por
Título da fonte: Redes (Santa Cruz do Sul. Online)
Texto Completo: https://online.unisc.br/seer/index.php/redes/article/view/3123
Resumo: The aim of this paper was to analyze the determinings of farm work allocation in Brazilian regions, based on micro data of National Household Sample Survey 2009. For that, the empirical procedure consisted in the use of two models: Confirmatory Factor Analysis and the Logit Model. The model Confirmatory Factor Analysis showed good fit and defined two latent variables: qualification and income. As to the Logit Model, the results showed that the fact of a man living in rural areas increases the likelihood of being allocated in farm work, however if he is white this probability decrease. Besides, the variables qualification and income have a negative relation with farm work allocation, being the Midwest region that contributed most for people being allocated in farm work.
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spelling Determinings of farm work allocation in brazilian regionsDeterminantes da alocação de trabalho agrícola nas regiões brasileirasPNADAnálise Fatorial ConfirmatóriaModelo LogitNational Household Sample Survey. Confirmatory Factor Analysis. Logit Model.The aim of this paper was to analyze the determinings of farm work allocation in Brazilian regions, based on micro data of National Household Sample Survey 2009. For that, the empirical procedure consisted in the use of two models: Confirmatory Factor Analysis and the Logit Model. The model Confirmatory Factor Analysis showed good fit and defined two latent variables: qualification and income. As to the Logit Model, the results showed that the fact of a man living in rural areas increases the likelihood of being allocated in farm work, however if he is white this probability decrease. Besides, the variables qualification and income have a negative relation with farm work allocation, being the Midwest region that contributed most for people being allocated in farm work.O objetivo deste trabalho foi analisar os determinantes da alocação de trabalho agrícola nas regiões brasileiras, com base nos microdados da Pesquisa Nacional por Amostra de Domicílios (PNAD, 2009). Para isso, o procedimento empírico consistiu na utilização de dois modelos: Análise Fatorial Confirmatória (AFC) e o Modelo Logit. O modelo de AFC apresentou bom ajustamento e definiu duas variáveis latentes qualificação e renda. No que tange ao Modelo Logit os resultados indicaram que o fato de um indivíduo ser do sexo masculino e residir no meio rural aumenta a probabilidade de ele estar alocado na atividade agrícola, enquanto ser da cor branca reduz essa probabilidade. Ademais, as variáveis renda e qualificação se relacionam de forma negativa com a alocação de trabalho agrícola, sendo a Região Centro-Oeste a que mais contribuiu para um indivíduo estar alocado em um trabalho agrícola. Palavras-chave: PNAD; Análise Fatorial Confirmatória; Modelo LogitEdunisc - Universidade de Santa Cruz do Sul2013-03-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://online.unisc.br/seer/index.php/redes/article/view/312310.17058/redes.v18i1.3123Redes ; Vol. 18 No. 1 (2013); 167-184Redes; Vol. 18 Núm. 1 (2013); 167-184Redes; Vol. 18 No. 1 (2013); 167-184Redes; v. 18 n. 1 (2013); 167-1841982-6745reponame:Redes (Santa Cruz do Sul. Online)instname:Universidade de Santa Cruz do Sul (UNISC)instacron:UNISCporhttps://online.unisc.br/seer/index.php/redes/article/view/3123/3187Cangussu Pessoa, Filipe de MoraisCoronel, Daniel ArrudaAmorim, Airton Lopesde Lima, João Eustáquioinfo:eu-repo/semantics/openAccess2019-10-03T17:47:14Zoai:ojs.online.unisc.br:article/3123Revistahttp://online.unisc.br/seer/index.php/redeshttp://online.unisc.br/seer/index.php/redes/oairedes_unisc_maff@terra.com.br||etges@unisc.br1982-67451414-7106opendoar:2019-10-03T17:47:14Redes (Santa Cruz do Sul. Online) - Universidade de Santa Cruz do Sul (UNISC)false
dc.title.none.fl_str_mv Determinings of farm work allocation in brazilian regions
Determinantes da alocação de trabalho agrícola nas regiões brasileiras
title Determinings of farm work allocation in brazilian regions
spellingShingle Determinings of farm work allocation in brazilian regions
Cangussu Pessoa, Filipe de Morais
PNAD
Análise Fatorial Confirmatória
Modelo Logit
National Household Sample Survey. Confirmatory Factor Analysis. Logit Model.
title_short Determinings of farm work allocation in brazilian regions
title_full Determinings of farm work allocation in brazilian regions
title_fullStr Determinings of farm work allocation in brazilian regions
title_full_unstemmed Determinings of farm work allocation in brazilian regions
title_sort Determinings of farm work allocation in brazilian regions
author Cangussu Pessoa, Filipe de Morais
author_facet Cangussu Pessoa, Filipe de Morais
Coronel, Daniel Arruda
Amorim, Airton Lopes
de Lima, João Eustáquio
author_role author
author2 Coronel, Daniel Arruda
Amorim, Airton Lopes
de Lima, João Eustáquio
author2_role author
author
author
dc.contributor.author.fl_str_mv Cangussu Pessoa, Filipe de Morais
Coronel, Daniel Arruda
Amorim, Airton Lopes
de Lima, João Eustáquio
dc.subject.por.fl_str_mv PNAD
Análise Fatorial Confirmatória
Modelo Logit
National Household Sample Survey. Confirmatory Factor Analysis. Logit Model.
topic PNAD
Análise Fatorial Confirmatória
Modelo Logit
National Household Sample Survey. Confirmatory Factor Analysis. Logit Model.
description The aim of this paper was to analyze the determinings of farm work allocation in Brazilian regions, based on micro data of National Household Sample Survey 2009. For that, the empirical procedure consisted in the use of two models: Confirmatory Factor Analysis and the Logit Model. The model Confirmatory Factor Analysis showed good fit and defined two latent variables: qualification and income. As to the Logit Model, the results showed that the fact of a man living in rural areas increases the likelihood of being allocated in farm work, however if he is white this probability decrease. Besides, the variables qualification and income have a negative relation with farm work allocation, being the Midwest region that contributed most for people being allocated in farm work.
publishDate 2013
dc.date.none.fl_str_mv 2013-03-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://online.unisc.br/seer/index.php/redes/article/view/3123
10.17058/redes.v18i1.3123
url https://online.unisc.br/seer/index.php/redes/article/view/3123
identifier_str_mv 10.17058/redes.v18i1.3123
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://online.unisc.br/seer/index.php/redes/article/view/3123/3187
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Edunisc - Universidade de Santa Cruz do Sul
publisher.none.fl_str_mv Edunisc - Universidade de Santa Cruz do Sul
dc.source.none.fl_str_mv Redes ; Vol. 18 No. 1 (2013); 167-184
Redes; Vol. 18 Núm. 1 (2013); 167-184
Redes; Vol. 18 No. 1 (2013); 167-184
Redes; v. 18 n. 1 (2013); 167-184
1982-6745
reponame:Redes (Santa Cruz do Sul. Online)
instname:Universidade de Santa Cruz do Sul (UNISC)
instacron:UNISC
instname_str Universidade de Santa Cruz do Sul (UNISC)
instacron_str UNISC
institution UNISC
reponame_str Redes (Santa Cruz do Sul. Online)
collection Redes (Santa Cruz do Sul. Online)
repository.name.fl_str_mv Redes (Santa Cruz do Sul. Online) - Universidade de Santa Cruz do Sul (UNISC)
repository.mail.fl_str_mv redes_unisc_maff@terra.com.br||etges@unisc.br
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