本研究以2002至2013年11個球季NBA聯盟的球隊，來探討球隊內薪資不平均化程度，分別與球隊的例行賽及季後賽戰績的關聯性如何?以及球隊總薪資超越豪華稅門檻多寡，分別與例行賽及季後賽戰績的關聯性如何? 實證結果發現在控制球員人數、觀眾人數、總教練因素以及球隊過去的戰績，薪資不平均程度與例行賽勝率、晉級季後賽有著顯著的正相關，但與季後賽的戰績則沒有顯著的關聯，且將球隊以薪資不平均程度(以HHI作為衡量指標)分為高低中三個群組，在最高的群組，付出的豪華稅越多，越能幫助球隊晉級季後賽。同時根據logistic 廻歸研究結果發現HHI指標及GINI係數每增加1%，打進季後賽的機率分別會增加1.152%及1.049%的機率打進季後賽，另外就HHI就最不平均組別而言，球隊總薪資超過豪華稅門檻時，每多支付100萬美元的薪資可增加1.002%機率打入季後賽。本研究認為決定球賽的勝負，薪資策略固然重要，但只運用薪資策略本身來提升球隊例行賽勝率有限，必須考慮球隊本身特質、有效利用相關資源才能增加球隊勝率。 / This research uses NBA’s past 11 seasons (2002 to 2013 season) to explore the association with NBA team's salary structure and its performance. The research also tries to analysis the association between luxury tax and NBA team’s performance. The empirical results show that after control the number of players, audience, coach, and the last season’s winning percentage, the regular season’s performance has positive highly corrected with salary’s HHI and GINI index. However, the playoff’s performance does not associate with salary’s HHI and GINI index. The logistic regression model predicts that when a team increases 1 percent of HHI and GINI index, then the team increases 1.152% and 1.049% opportunity to make in the NBA playoff. The highest HHI group’s logistic model predicts that when a team increases 100 million salaries over luxury tax cap, the team can increase 1.002% opportunity to make in the NBA playoff. We believe that although the strategy of NBA’s salary is important, however, the salary strategy itself is not enough to dramatic increase team’s performance. In order to improve the performance of a team, the characteristic of a team, the coach, audience and the team winning history maybe play the more important role in increasing winning percentage.

Doctor of Philosophy / Department of Statistics / Gary L. Gadbury / Since their commercial introduction in 2005, DNA sequencing technologies have become widely available and are now cost-effective tools for determining the genetic characteristics of organisms. While the biomedical applications of DNA sequencing are apparent, these technologies have been applied to many other research areas. One such area is community ecology, in which DNA sequence data are used to identify the presence and abundance of microscopic organisms that inhabit an environment. This is currently an active area of research, since it is generally believed that a change in the composition of microscopic species in a geographic area may signal a change in the overall health of the environment. An overview of DNA pyrosequencing, as implemented by the Roche/Life Science 454 platform, is presented and aspects of the process that can introduce variability in data are identified. Four ecological data sets that were generated by the 454 platform are used for illustration. Characteristics of these data include high dimensionality, a large proportion of zeros (usually in excess of 90%), and nonzero values that are strongly right-skewed. A nonparametric method to standardize these data is presented and effects of standardization on outliers and skewness are examined. Traditional statistical methods for analyzing macroscopic species abundance data are discussed, and the applicability of these methods to microscopic species data is examined. One objective that receives focus is the classification of microscopic species as either rare or common species. This is an important distinction since there is much evidence to suggest that the biological and environmental mechanisms that govern common species are distinctly different than the mechanisms that govern rare species. This indicates that the abundance patterns for common and rare species may follow different probability models, and the suitability of the Pareto distribution for rare species is examined. Techniques for classifying macroscopic species are shown to be ill-suited for microscopic species, and an alternative technique is presented. Recognizing that the structure of the data is similar to that of financial applications (such as insurance claims and the distribution of wealth), the Gini index and other statistics based on the Lorenz curve are explored as potential test statistics for distinguishing rare versus common species.

The aim of this thesis is to examine how wealth inequality alters when macroeconomic factors such as housing price index, inflation rate, and minimum wage change. In the theoretical part, the potential connection between some macroeconomic factors and wealth inequality is described through the link of the Lorenz Curve and Pareto distribution. In the empirical part, we analyze the development of wealth inequality in 21 countries from the European Union from 2004 to 2015. The study presents significant evidence that the housing price index is negatively correlated with wealth inequality while similar conclusions cannot be made regarding inflation rate and minimum wage. In this paper, the Gini index is used as a proxy for wealth inequality.

The purpose of this paper is to study China’s income inequality under rapid economic growth.Does the relationship between economic growth and income inequality in China follow theKuznets hypothesis? What is the main cause and trend of China’s income inequality? We usedata which covers the period 1980-2005 to analyze the overall inequality, and data coveringthe period 1980-2002 to analyze the inequality inside rural and urban areas. The derivedresults doubt the validity of Kuznets hypothesis on explaining the relationship betweeneconomic growth and income inequality in China. Also we derive the trend of China’sincreased income inequality and find that the urban-rural income disparity is the main causeof China’s income inequality.

The purpose of this paper is to investigate the correlation between income inequality and economic growth in a cross-section of 90 countries from 2002 to 2006. The controversial Kuznets Hypothesis, the economic model that hypothesizes the relationship between inequality and per capita income is an inverted U-shaped curve, is scrutinized and investigated to consider its viability and accuracy. A multiple linear regression model is estimated and the viability of the regression model is supported by several statistical tests. Based on the estimated model, a negative correlation between growth and inequality has been found.

FREITAS, Luzineide de Andrade de. Os efeitos da desigualdade social na mortalidade infantil no Brasil (1992 a 2011). 2017. 28f. - Dissertação (mestrado) – Universidade Federal do Ceará, Faculdade de Economia, Administração, Atuária e Contabilidade, Mestrado Profissional em Economia do Setor Público, Fortaleza (CE), 2017. / Submitted by CAEN PROGRAMA DE PÓS-GRADUAÇÃO EM ECONOMIA (mpe@caen.ufc.br) on 2017-11-10T17:41:34Z No. of bitstreams: 1 2017_dis_lafreitas.pdf: 416072 bytes, checksum: 1dfc7bc971dfdbb2a40cc834bfe41de8 (MD5) / Approved for entry into archive by Márcia Araújo (marcia_m_bezerra@yahoo.com.br) on 2017-11-13T11:11:20Z (GMT) No. of bitstreams: 1 2017_dis_lafreitas.pdf: 416072 bytes, checksum: 1dfc7bc971dfdbb2a40cc834bfe41de8 (MD5) / Made available in DSpace on 2017-11-13T11:11:20Z (GMT). No. of bitstreams: 1 2017_dis_lafreitas.pdf: 416072 bytes, checksum: 1dfc7bc971dfdbb2a40cc834bfe41de8 (MD5) Previous issue date: 2017 / The paper aims to analyze the effects of income inequality on the infant mortality rate, analyzing for other determinants such as the level of education, poverty and per capita income for all units of the federation in Brazil from 1992 to 2011. The infant mortality rate is a social indicator that reflects the quality of life of a given population. For this purpose, econometric models of panel data were used. It was verified that the income inequality and all analyzed variables affect the infant mortality rates in the analyzed period. Thus, among the main conclusions obtained, the need for public investments geared to economic growth combined with income deconcentration and poverty reduction followed by better levels of education are essential in the process of reducing the infant mortality rate. / O trabalho tem como objetivo principal analisar os efeitos da desigualdade de renda no indicador de saúde mortalidade infantil, considerando outros determinantes como o nível de educação, pobreza e renda per capita para todas as unidades da federação no Brasil no período de 1992 a 2011. A taxa de mortalidade infantil é um indicador social que reflete a qualidade de vida de uma determinada população. Para essa finalidade, utilizou-se modelos econométricos de dados em painel. Verificou-se que a desigualdade de renda e todas as variáveis analisadas afetam as taxas de mortalidade infantil no período analisado. Assim, dentre as principais conclusões obtidas, constata-se a necessidade de investimentos públicos direcionados para o crescimento econômico aliado com desconcentração de renda e redução da pobreza seguidos de melhores níveis de educação são essenciais no processo de redução da taxa de mortalidade infantil.

Made available in DSpace on 2014-12-17T14:34:44Z (GMT). No. of bitstreams: 1 ReiliAVS_DISSERT.pdf: 1893405 bytes, checksum: 68ecb5183237b71052c66ab4ebde9c9d (MD5) Previous issue date: 2012-10-24 / O objetivo do trabalho ? propor um estudo sobre a rela??o do Programa Nacional de Cr?dito Fundi?rio - PNCF, no estado do Rio Grande do Norte, e sua concentra??o fundi?ria. Ou seja, se o PNCF est? sendo direcionado, para as microrregi?es que apresentam maior ?ndice de concentra??o, de acordo com o ?ndice de Gini, e se as ?reas adquiridas atrav?s do cr?dito fundi?rio est?o emergindo nestas microrregi?es. Para isto, o estudo levantou a hip?tese de que o PNCF no estado do Rio Grande do Norte n?o est? sendo conduzida, de modo a reduzir a concentra??o fundi?ria, dentre as microrregi?es do estado. Ou seja, n?o existe correla??o entre o ?ndice de Gini, da concentra??o fundi?ria, e as ?reas adquiridas atrav?s do programa. Al?m disso, o trabalho buscou realizar uma discuss?o da literatura sobre os programas de reforma agr?ria assistida pelo mercado. Apresentando os autores que s?o exaltadores do modelo e das suas potencialidades, atrelando as causas dos problemas levantados como sendo de ordem t?cnica e operacional, onde os principais autores desta linha s?o: Van Zyl, Kirsten & Binswanger, (1996), Deininger & Binswanger, (1999). T?m-se tamb?m a apresenta??o da posi??o dos autores adeptos as pol?ticas fundi?rias pautadas na din?mica e libera??o dos mercados de terras, mas que visam contribuir com estudos que permitam uma redu??o para o custo elevado e a sua incapacidade de abarcar a esfera social, em decorr?ncia do pagamento ? vista e a pre?o de mercado aos donos das terras, s?o eles: De Janvry & Sadoulet (2002), Gordillo (2002), Banerjee (1999), Jaramillo (1998) e Burki & Perry (1997). Todavia, apresentou-se a corrente de autores que ressalta a natureza socialmente agressiva da Reforma Agr?ria Assistida pelo Mercado (RAAM), sendo os seus principais contribuidores: El-Ghonemy (2001); Barros, Schwartzman & Sauer (2003); Borras Jr. (2006, 2003 e 2003a); Garoz et al. (2005); Sauer & Pereira (2006); Pereira (2005, 2006 e 2010); Sauer (2010); Lahiff, Borras Jr. & Kay (2007). Em sequ?ncia, o trabalho apresentou a transi??o e caracter?sticas dos programas de acesso ? terra, no Brasil, a partir da d?cada de 1990, bem como, alguns indicadores do PNCF, no Brasil e o estado do Rio Grande do Norte. Apresentou-se tamb?m os indicadores da concentra??o fundi?ria, no Brasil e no estado. Atrav?s dos dados do Censo Agropecu?rio de 2006 foi poss?vel calcular o ?ndice de Gini da distribui??o fundi?ria nas microrregi?es no estado do Rio Grande do Norte. Com os dados fornecidos pela Secretaria de Estado de Assuntos Fundi?rios e de Apoio ? Reforma Agr?ria - SEARA mostrou-se a distribui??o das linhas de cr?dito do PNCF e as ?reas adquiridas, entre os anos de 2006 e 2012. Por fim, o valor do coeficiente de correla??o simples (r) igual a (0,2865), que com base no teste bilateral da distribui??o de t de Student chegou-se no resultado para T calculado no valor de (1,2333), que ao ser comparado com o valor de T cr?tico igual a (2,898), com 17 graus de liberdade, a um n?vel de signific?ncia de 1%, pode aceitar a hip?tese de partida, ou seja, que o PNCF n?o estava sendo direcionado para diminuir a concentra??o fundi?ria no estado

nÃo hà / A desigualdade de renda no Brasil diminuiu nos Ãltimos anos. DÃvidas, entretanto, pairam sobre a universalizaÃÃo dessa queda em regiÃes ou Ãreas especÃficas, especialmente naquelas onde se verificam elevados Ãndices de analfabetismo, parcela significativa da populaÃÃo à pobre e/ou as oportunidades de empregos sÃo escassas sobretudo para mÃo de obra nÃo qualificada e o consequente fraco desenvolvimento econÃmico, ambiente propÃcio para a mà distribuiÃÃo de renda. Esta pesquisa se propÃs mostrar a evoluÃÃo da desigualdade na distribuiÃÃo da renda domiciliar per capita, medida pelo Ãndice de Gini e detectar quais foram as parcelas do rendimento mensal domiciliar que contribuÃram para a desigualdade, alÃm de determinar a contribuiÃÃo percentual dos componentes do rendimento domiciliar. Utilizou-se como metodologia a decomposiÃÃo do Ãndice de Gini em fontes de rendimentos. A base de dados utilizada teve como fonte a Pesquisa Nacional por Amostra de DomicÃlios (PNAD), do perÃodo de 1997 a 2007. O meio rural da RegiÃo Nordeste nÃo metropolitana, do Estado do Cearà e da RegiÃo Metropolitana de Fortaleza foram as Ãreas de estudo desta pesquisa por se enquadrarem nesse contexto. Os resultados mostraram que a desigualdade de renda caiu, nÃo de forma permanente, na RegiÃo Nordeste. Nos outros dois espaÃos analisados, ela oscilou ao longo do perÃodo sem muitas mudanÃas. As parcelas como Outros Trabalhos, Aposentadorias e PensÃes Oficiais reforÃaram a desigualdade nas trÃs Ãreas geogrÃficas e os programas sociais de transferÃncia de renda aos mais carentes tiveram significativa participaÃÃo nas reduÃÃes contÃnuas do Ãndice de Gini, especialmente no Nordeste rural. / Income inequality in Brazil declined in recent years. Doubts, however, weaken the universalization of this fall in regions or specific areas, especially where there are high rates of illiteracy, a significant portion of the population is poor and / or job opportunities are scarce especially for labor unskilled and the consequent weak economic development, enabling environment for the maldistribution of income. This research aims to show the evolution of inequality in the distribution of household income per capita, measured by the Gini index and to detect what were the shares of household income contributed to inequality, and to determine the percentage contribution of the components of household income. Was used as a methodology to decompose the Gini index of income sources. The database used as a source the National Household Sample Survey (PNAD), the period from 1997 to 2007. The rural areas of the Northeast not metropolitan, the State of Cearà and the Metropolitan Region of Fortaleza were the areas of this research, since they fit in this context. The results showed that income inequality has fallen, not permanently, in the Northeast. In the other two areas studied, it varied throughout the period without many changes. The plots and Other Works, Retirement and Pensions officials reinforced the inequality in three geographical areas and social programs to transfer income to the poorest countries have had significant participation in the continual reduction of the Gini index, especially in the rural Northeast.

nÃo hà / Ao utilizar dados da Pesquisa Nacional por Amostra de DomicÃlios (PNADs), mostraremos como ocorreram as variaÃÃes na renda domiciliar per capita no Brasil, nas macro-regiÃes brasileiras e no Estado do CearÃ, no interstÃcio comparativo aos anos de 2001 e 2008, contribuindo para a reduÃÃo da desigualdade de renda em nosso paÃs. Em seguida à apresentada a metodologia de decomposiÃÃo das variaÃÃes dos Ãndices de Gini, quando a renda à estudada atravÃs das principais vertentes de sua constituiÃÃo. Essa metodologia identifica as seguintes clÃusulas: os rendimentos de todos os trabalhos, incluindo salÃrios e remuneraÃÃo de trabalhadores por conta prÃpria e empregados; os rendimentos de aluguel e doaÃÃes feitas por pessoas de outros domicÃlios; as aposentadorias e pensÃes pagas pelo governo federal ou por instituto de previdÃncia, assim como outras aposentadorias e pensÃes; e os valores que incluem juros,dividendos,transferÃncias de programas oficiais como o Bolsa FamÃlia ou renda mÃnima e outros rendimentos. Para o Ãndice de Gini, estima-se que no perÃodo analisado os rendimentos de todos os trabalhos, incluindo salÃrios e remuneraÃÃo de trabalhadores por conta prÃpria e empregados, foram decisivos atravÃs da participaÃÃo constitutiva da renda familiar per capita no Brasil, nas macro-regiÃes brasileiras e no Estado do CearÃ. Observamos, por fim, que os efeitos dos programas de transferÃncias de renda, por exemplo, Bolsa FamÃlia, mantivera-se em grande parte responsÃvel pela reduÃÃo da pobreza especificamente nas regiÃes do Nordeste, Norte e Centro-oeste do Brasil o que nÃo fora o caso para as regiÃes Sul e Sudeste do paÃs. / Using data from the National Household Sample Survey (PNAD), we show how the variations occurred in income per capita in Brazil, the Brazilian macro-regions and the state of Ceara in the interstitium comparison to the years 2001 and 2008, contributing to reduction of income inequality in our country. Then presents the methodology of decomposition of changes in the Gini index, when income is studied through key aspects of its constitution. This methodology identifies the following terms: income from all jobs, including salaries and remuneration of own-account workers and employees, income from rent and donations by people from other households, pensions and pensions paid by the federal government or by institute pension, and other retirement and pensions, and the values that include interest, dividends, transfers of public programs such as Bolsa Familia or minimal income and other income. For the Gini coefficient, it is estimated that the period under review income from all jobs, including salaries and remuneration of own-account workers and employees, through participation were decisive constituent of household income per capita in Brazil, the macroregions and the Brazilian state of Ceara. We note finally that the effects of income transfer programs, for example, Bolsa Familia, it remained largely responsible for the reduction of poverty especially in the regions of Northeast, North and Midwest of Brazil, that was the case to the South and Southeast.

nÃo hà / Este trabalho utiliza dados da PNAD para evidenciar o comportamento da desigualdade da distribuiÃÃo de renda nos estados do Nordeste, utilizando como medida o Ãndice de Gini dos anos de 2001 e 2008. Concluiu-se que houve uma melhoria da distribuiÃÃo de renda no Brasil, nas cinco grandes regiÃes do paÃs e nos nove estados do Nordeste nesse perÃodo. Utilizando-se a metodologia proposta por Hoffmann (2006) para decomposiÃÃo do Ãndice de Gini, foi avaliada a contribuiÃÃo de cada parcela da renda familiar per capita para esta queda do Ãndice de Gini. Estima-se que a grande responsÃvel pela queda da desigualdade foi a renda oriunda do trabalho, com participaÃÃo de 67% na queda do Ãndice no Brasil e 46% no Nordeste. Essa primazia da renda do trabalho ocorreu em cinco estados nordestinos: Rio Grande do Norte (66,92%), Cearà (62,56%), Pernambuco (58,76%), MaranhÃo (43,89%) e Sergipe (34,58%). No Piauà (63,31%) e na Bahia (50,74%), a parcela que contÃm a renda de juros, aplicaÃÃes e transferÃncias oficiais foi a maior responsÃvel pela reduÃÃo da desigualdade de renda. Jà em Alagoas e ParaÃba a maior contribuiÃÃo veio da renda de aposentadorias e pensÃes, com percentual de 119,59% e 60,27%, respectivamente, de participaÃÃo na queda do Ãndice de Gini. Apesar da renda do trabalho ter sido aquela com maior contribuiÃÃo para a queda da concentraÃÃo de renda no Nordeste, nÃo se pode desprezar o peso da renda advinda de juros, aplicaÃÃes e transferÃncias oficiais nesse processo, pois a mÃdia da contribuiÃÃo desta parcela na queda do Gini na regiÃo à mais que o dobro da participaÃÃo nacional. Essa contribuiÃÃo elevada ocorre mesmo com uma participaÃÃo relativamente baixa na formaÃÃo da renda, que atinge o pico de 4,22% da Renda Familiar Per Capita no estado de Alagoas. / This study uses data from the Statistical Officeâs annual national sample survey of Brazil (PNAD) to elucidate inequality of income distribution behavior in the Northeastern states using the Gini index for the years of 2001 and 2008 as standards. It has been concluded that income distribution in Brazil had been improved in the five large country regions and nine Northeastern states in this period. Using the methodology proposed by Hoffmann (2006) to decompose the Gini index, the contribution for each portion of family income per capita for the fall of the Gini index have been evaluated. It has been estimated that the major cause for the drop in inequality was the income from employment contributing 67% in the Brazilian fall and 46% in the Northeastern. This primacy of labor income occurred in five Northeastern states: Rio Grande do Norte (66.92%), Cearà (62.56%), Pernambuco (58.76%), MaranhÃo (43.89%) and Sergipe (34,58%). In Piauà (63.31%) and Bahia (50.74%), the portion that contains interest income, applications and official transfers were the main responsible for the reduction in income inequality. From another standpoint, in Alagoas and in Paraiba the largest contribution came from retirement income, with percentage of 119.59% and 60.27% stake, respectively. Although labor income have been the one with the largest contribution to the fall of income concentration in the Northeast, one can not disregard the weight of income arising from interest, applications and official transfers in the process, since the average contribution of this installment in the fall of the Gini in the region is more than double of national participation. This high contribution occurs even with a relatively low participation in the formation of income, which reaches a peak of 4.22% of family income per capita the state of Alagoas.