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Analytical analysis of consumption in Brazil

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Master Thesis. version for export.pdf (3.820Mb)
Date
2016-01-29
Author
Butvilaite, Greta
Advisor
Caldieraro, Fabio
Metadata
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Abstract
This thesis is an analytical analysis of consumption in Brazil, based on data from the Consumer Expenditure Survey, years 2008 to 2009, collected by the Brazilian Institute of Geography and Statistics. The main aim of the thesis was to identify differences and similarities in consumption among Brazilian households, and estimate the importance of demographic and geographic characteristics. Initially, households belonging to different social classes and geographical regions were compared based on their consumption. For further insights, two cluster analyses were conducted. Firstly, households were grouped according to the absolute values of expenditures. Five clusters were discovered; cluster membership showed larger spending in all of the expense categories for households having higher income, and a substantial association with particular demographic variables, including as region, neighborhood, race and education. Secondly, cluster analysis was performed on proportionate distribution of total spending by every household. Five groups of households were revealed: Basic Consumers, the largest group that spends only on fundamental goods, Limited Spenders, which additionally purchase alcohol, tobacco, literature and telecommunication technologies, Mainstream Buyers, characterized by spending on clothing, personal care, entertainment and transport, Advanced Consumers, which have high relative expenses on financial and legal services, healthcare and education, and Exclusive Spenders, households distinguished by spending on vehicles, real estate and travelling.
URI
http://hdl.handle.net/10438/16718
Collections
  • FGV EBAPE - Dissertações, Mestrado em Gestão Empresarial [1183]
Knowledge Areas
Administração de empresas
Subject
Consumo (Economia) - Brasil
Análise por conglomerados
Pesquisa de mercado
Keyword
Consumption in Brazil
Consumer clustering

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