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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

O efeito do desenvolvimento financeiro na desigualdade de renda nos municÃpios do Cearà / The effect of financial development on income inequality in Ceara municipalities

AntÃnia Leda Morais de Paula 30 March 2015 (has links)
nÃo hà / O presente trabalho busca investigar eventual relaÃÃo entre o desenvolvimento financeiro e desigualdade de renda. Para tal, foram utilizados os dados dos 184 municÃpios cearenses, para o ano de 2010, firmando-se como medida de desigualdade o Ãndice de Gini e, como variÃveis explicativas, as razÃes estabelecidas entre crÃdito e PIB, entre operaÃÃes de crÃdito e PIB; entre operaÃÃes de crÃdito e populaÃÃo; entre financiamentos e PIB e, por fim, entre financiamentos e populaÃÃo, como proxies para o desenvolvimento financeiro. Foi utilizado o mÃtodo denominado Jackknife Model Averaging, que se caracteriza por ser um procedimento de estimaÃÃo que leva em consideraÃÃo todas as possÃveis especificaÃÃes de modelo com base em um conjunto de variÃveis. Empregou-se, ainda, a abordagem FMA, sugerida em Hansen e Racine (2012). Os resultados obtidos indicam que o desenvolvimento financeiro nÃo à estatisticamente relevante para interferir na reduÃÃo da desigualdade de renda. / This work seeks to investigate an eventual relationship between financial development and income inequality. For this, was used data from 184 cities from CearÃ, at the year of 2010, Using as a measure of inequality, the Gini index and, as explanatory variables, the reasons established between credit and GDP, between credit and GDP operations; between credit and population operations; between financing and GDP and, finally, between funding and population, as proxies for financial development. Was used the method called Jackknife Model Averaging, which is characterized by being a procedure of estimation that takes into account all possible model specifications based on a set of variables. We used also the FMA approach suggested in Hansen and Racine (2012). The results indicate that financial development is not statistically relevant to interfere in reducing income inequality.

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