Indicadores econômicos e de saúde: A relação entre inflação, desemprego, renda e mortalidade

• Ano de defesa: 2010
• Autor(a) principal: Paim, Chennyfer da Rosa Paino [UNIFESP]
• Tipo de documento: Tese
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de São Paulo (UNIFESP)
• Palavras-chave em Português: Desemprego; Indicadores básicos de saúde; Mortalidade; Renda; Inflação; Health status indicators; Income; Mortality; Unemployment; Inflation
• Link de acesso: http://repositorio.unifesp.br/handle/11600/9738

This work aims to correlate the health indicators General Mortality, Infant Mortality, Maternal and External Causes macroeconomic indicators with Inflation, Unemployment and Income in Brazil during the period 1980-2009, contributing to the debate if the instabilities or interfere in economic downturns health of individuals. The theoretical literature is based on macroeconomic conditions and health. We find that there are several studies relating mortality with income and unemployment, but few that add the variable inflation, and among them, none specifies a series of Brazil. The method was applied empirical-analytic time series of proposed indicators, and for the results of the correlations we used the technique of linear regression through the softwar STATA. The results favored the hypothesis of Philips, that is all that is fall in inflation, unemployment increases and income decreases accordingly, which supposedly have worse living conditions and health, hence higher rates of mortality. The correlations between child mortality, maternal and foreign, we find this result, economic downturns in mortality rates increase. We believe it is necessary degree of caution in interpreting the results in order to avoid outright acceptance of associations without considering other variables not analyzed in this thesis which may vary for other factors not considered. Regression analysis performed in this study suggest that a relationship exists between health indicators and economic studies, where low inflation leads to higher unemployment and low incomes, leading to poor health and high mortality rates.