Determinings of farm work allocation in brazilian regions
Autor(a) principal: | |
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Data de Publicação: | 2013 |
Outros Autores: | , , |
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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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 |
_version_ |
1800218768678322176 |