CRITÉRIOS DE ESTRATIFICAÇÃO E COMPARAÇÃO DE CLASSIFICADORES SOCIOECONÔMICOS NO BRASIL
The purpose of this study was to compare the conceptual and methodological features of five classification algorithms used to produce socioeconomic stratifications of the Brazilian society, and to measure misclassification tradeoffs between them. We applied these five algorithms to classify the 55,9...
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Format: | Article |
Language: | English |
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Fundação Getulio Vargas, Escola de Administração de Empresas de São Paulo
2016-02-01
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Series: | RAE: Revista de Administração de Empresas |
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Online Access: | http://rae.fgv.br/sites/rae.fgv.br/files/criterios_de_estratificacao_e_comparacao_de_classificadores_socioeconomicos_no_brasil_0.pdf |
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author | Wagner Kamakura José Afonso Mazzon |
author_facet | Wagner Kamakura José Afonso Mazzon |
author_sort | Wagner Kamakura |
collection | DOAJ |
description | The purpose of this study was to compare the conceptual and methodological features of five classification algorithms used to produce socioeconomic stratifications of the Brazilian society, and to measure misclassification tradeoffs between them. We applied these five algorithms to classify the 55,970 households covered in the survey of household budgets (Pesquisa de Orçamentos Familiares [POF]) conducted by Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatística [IBGE]). Our results allow us to conclude that maximum-likelihood classifier had the best performance in explaining Brazilian families’ consumption patterns across the socioeconomic strata, followed by the adaptive Bayesian, simplified ABEP, old ABEP, and SAE algorithms. The first three classifiers rely on the concept of permanent income, while the first two incorporate an important innovation: classifying a household by considering its geographic location and family composition, the latter defined by the number of adults and minors living in the household. These new classifiers allow researchers and marketers to segment and study markets based on a valid, unbiased, and reliable criterion of socioeconomic stratification. |
first_indexed | 2024-03-12T08:25:04Z |
format | Article |
id | doaj.art-cf3898b0da7b40999f2cac2e154eca46 |
institution | Directory Open Access Journal |
issn | 0034-7590 2178-938X |
language | English |
last_indexed | 2024-03-12T08:25:04Z |
publishDate | 2016-02-01 |
publisher | Fundação Getulio Vargas, Escola de Administração de Empresas de São Paulo |
record_format | Article |
series | RAE: Revista de Administração de Empresas |
spelling | doaj.art-cf3898b0da7b40999f2cac2e154eca462023-09-02T18:12:28ZengFundação Getulio Vargas, Escola de Administração de Empresas de São PauloRAE: Revista de Administração de Empresas0034-75902178-938X2016-02-015615570CRITÉRIOS DE ESTRATIFICAÇÃO E COMPARAÇÃO DE CLASSIFICADORES SOCIOECONÔMICOS NO BRASILWagner Kamakura0José Afonso Mazzon 1Professor da Rice University, Jones Graduate School of Business – Houston –Texas, Estados Unidos da AméricaProfessor da Universidade de São Paulo, Faculdade de Economia, Administração e Contabilidade – São Paulo – SP, BrasilThe purpose of this study was to compare the conceptual and methodological features of five classification algorithms used to produce socioeconomic stratifications of the Brazilian society, and to measure misclassification tradeoffs between them. We applied these five algorithms to classify the 55,970 households covered in the survey of household budgets (Pesquisa de Orçamentos Familiares [POF]) conducted by Brazilian Institute of Geography and Statistics (Instituto Brasileiro de Geografia e Estatística [IBGE]). Our results allow us to conclude that maximum-likelihood classifier had the best performance in explaining Brazilian families’ consumption patterns across the socioeconomic strata, followed by the adaptive Bayesian, simplified ABEP, old ABEP, and SAE algorithms. The first three classifiers rely on the concept of permanent income, while the first two incorporate an important innovation: classifying a household by considering its geographic location and family composition, the latter defined by the number of adults and minors living in the household. These new classifiers allow researchers and marketers to segment and study markets based on a valid, unbiased, and reliable criterion of socioeconomic stratification.http://rae.fgv.br/sites/rae.fgv.br/files/criterios_de_estratificacao_e_comparacao_de_classificadores_socioeconomicos_no_brasil_0.pdfMarket segmentationsocioeconomic classsocioeconomic statussocioeconomic classifieremerging markets |
spellingShingle | Wagner Kamakura José Afonso Mazzon CRITÉRIOS DE ESTRATIFICAÇÃO E COMPARAÇÃO DE CLASSIFICADORES SOCIOECONÔMICOS NO BRASIL RAE: Revista de Administração de Empresas Market segmentation socioeconomic class socioeconomic status socioeconomic classifier emerging markets |
title | CRITÉRIOS DE ESTRATIFICAÇÃO E COMPARAÇÃO DE CLASSIFICADORES SOCIOECONÔMICOS NO BRASIL |
title_full | CRITÉRIOS DE ESTRATIFICAÇÃO E COMPARAÇÃO DE CLASSIFICADORES SOCIOECONÔMICOS NO BRASIL |
title_fullStr | CRITÉRIOS DE ESTRATIFICAÇÃO E COMPARAÇÃO DE CLASSIFICADORES SOCIOECONÔMICOS NO BRASIL |
title_full_unstemmed | CRITÉRIOS DE ESTRATIFICAÇÃO E COMPARAÇÃO DE CLASSIFICADORES SOCIOECONÔMICOS NO BRASIL |
title_short | CRITÉRIOS DE ESTRATIFICAÇÃO E COMPARAÇÃO DE CLASSIFICADORES SOCIOECONÔMICOS NO BRASIL |
title_sort | criterios de estratificacao e comparacao de classificadores socioeconomicos no brasil |
topic | Market segmentation socioeconomic class socioeconomic status socioeconomic classifier emerging markets |
url | http://rae.fgv.br/sites/rae.fgv.br/files/criterios_de_estratificacao_e_comparacao_de_classificadores_socioeconomicos_no_brasil_0.pdf |
work_keys_str_mv | AT wagnerkamakura criteriosdeestratificacaoecomparacaodeclassificadoressocioeconomicosnobrasil AT joseafonsomazzon criteriosdeestratificacaoecomparacaodeclassificadoressocioeconomicosnobrasil |