The Distribution of Income by Factor Components

Pyatt, Graham; Chen, Chau-Nan; Fei, John

doi:10.2307/1885088

Cited by 313 publications

(159 citation statements)

References 4 publications

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“…However, when a factor component has both positive and negative values, there is a possibility that both its Gini and concentration coefficient might fall outside the (0,1) and (−1,1) ranges, respectively (CHEN, TSAUR AND RHAI, 1982;PYATT, CHEN and FEI, 1980;RAO, 1969). This is of concern as, for instance, both the public-private wage gap and the net State-related income components are expected to have both positive and negative values.…”

Section: Inequality Decompositionmentioning

confidence: 99%

State Transfers, Taxes and Income Inequality in Brazil

Medeiros

Souza

2015

Bras. Political Sci. Rev.

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Section: Inequality Decompositionmentioning

confidence: 99%

State Transfers, Taxes and Income Inequality in Brazil

Medeiros

Souza

2015

Bras. Political Sci. Rev.

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“…A metodologia de decomposição do coeficiente de Gini utilizada neste trabalho está baseada em Pyatt et al (1980) (2) Note-se que a curva de concentração não precisa ser monotonicamente crescente. A curva pode ficar acima do bissetor do primeiro quadrante.…”

Section: Decomposição Do íNdice De Giniunclassified

As aposentadorias e pensões e a concentração dos rendimentos domiciliares per capita no Brasil e na sua área rural: 1981 a 2003

Ferreira

Souza

2007

Rev. Econ. Sociol. Rural

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Resumo: Este trabalho tem como objetivo analisar a participação e a contribuição do rendimento domiciliar "aposentadorias e pensões" para a desigualdade da distribuição do rendimento domiciliar per capita no Brasil e Brasil Rural, no período de 1981 a 2003. Para isso, revisa a literatura sobre concentração de renda e previdência social, e utiliza a metodologia de decomposição do índice de Gini levando em consideração os componentes: rendimento do trabalho principal, rendimento de outros trabalhos, aposentadorias e pensões, doações, rendimentos de aluguel e outros rendimentos (juros, dividendos etc.). Destaca-se, nos resultados, a crescente participação das aposentadorias e pensões nos anos 1990 em relação à década anterior, com maior intensidade no Brasil rural, explicada pelas políticas sociais e econômicas do período. A contribuição dessa parcela de rendimento domiciliar para a concentração de renda é significativa para o Brasil em nove dos 18 anos analisados, e para a área rural a partir da década de 1990.Palavras-chave: Previdência Social Rural; Aposentadorias e pensões; Concentração de renda.Classificação JEL: D31; D63.*Doutor pela ESALQ/USP. robert@uel.br **Doutora pela PUC/SP.

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“…1 For example the Gini 9,26-28 of that distribution tells about the distortion in the income distribution, therefore, suggests to research on whether the opportunities are based on abilities and e®orts rather than on \crony economics" and other biases (e.g., corruption). Gini is a number, 0 Gini 1, where the Gini formula is [26][27][28][29][30][31][32][33][34][35][36] Gini ¼ 1 hci…”

Section: Introductionmentioning

confidence: 99%

The IncomeGini of Fairness

Flomenbom¹

2017

Rep. Adv. Phys. Sci.

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We are in favor of wealth accumulation in a free and democratic nation. Yet, the question is whether the mechanism of wealth accumulation is the same to all the people or are there di®erent mechanisms to di®erent socioeconomic-groups, therefore unfair biases in the nation. Here, we would like to develop ways to quantify and¯ght there unfair distortions. Utilizing methods from socioecono-physics, we¯nd that in a democratic and a free nation, a fair society is such that the income distribution's Gini is in the range, 25% and 33%, 34%. (Gini is the departure of the distribution from the \all are equal" distribution). The value, Gini % 40%, is indeed the transition from the intermediate stage nation to the corrupt nation, where Gini 40% requires that the income distribution is smooth in the top percentiles (rather than a jump like formed). Therefore, the e®ect of the 0.1% excessive wealth is pivotal to the problem; such nations have Gini values beyond 40%. The wealth distribution's properties further strengthen these¯ndings.We develop a dynamical model that is emphasizing the di®erence in the environment of the two camps: the top and the rest, yet¯nd that interactions create a smoother income density.We therefore think that the income distribution's Gini % 40% is the alarm stage, yet the Gini should better follow the middle range of the fair society stage (25% through 33%) rather than the upper bound in that stage, where ways to realize that are elaborated on.

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The Distribution of Income by Factor Components

Cited by 313 publications

References 4 publications

State Transfers, Taxes and Income Inequality in Brazil

State Transfers, Taxes and Income Inequality in Brazil

As aposentadorias e pensões e a concentração dos rendimentos domiciliares per capita no Brasil e na sua área rural: 1981 a 2003

The IncomeGini of Fairness

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