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Volumn 17, Issue 2, 1981, Pages 42-71

Inequality in indonesia: A decomposition analysis
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EID: 84945785131     PISSN: 00074918     EISSN: 14727234     Source Type: Journal    
DOI: 10.1080/00074918112331333989     Document Type: Article
Times cited : (23)

References (21)
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  • 3
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    • On the Measurement of Inequality
    • September 1970, pp. 244-263; D.G. Champernowne, ‘A Comparison of Measures of Inequality of Income Distribution’, Economic Journal, Vol. 84, December 1974, pp. 787-816; F.A. Cowell, Measuring Inequality, Oxford: Philip Allan, 1977.
    • A.B. Atkinson, ‘On the Measurement of Inequality’, Journal of Economic Theory, Vol. 2, September 1970, pp. 244-263; D.G. Champernowne, ‘A Comparison of Measures of Inequality of Income Distribution’, Economic Journal, Vol. 84, December 1974, pp. 787-816; F.A. Cowell, Measuring Inequality, Oxford: Philip Allan, 1977.
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  • 6
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    • Decomposing LDC Inequality
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  • 7
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    • The Estimation and Interpolation of Inequality Measures
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  • 8
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    • A Bias in Susenas Data
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  • 11
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  • 12
    • 84945888073 scopus 로고
    • Rural and Urban Income Inequalities in Indonesia, Mexico, Pakistan, Tanzania and Tunisia, Geneva: I.L.O.
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  • 13
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    • This seems primarily to be a consequence of the fact that the between group component of inequality for the log-variance depends on the ratio of each group's geometric mean to the aggregate geometric mean whereas for the other indices this term depends on the ratios of arithmetic means Since the geometric mean is less affected by the skewness of the income distribution than the arithmetic mean, the log-variance of a set of geometric means will always be less than the log-variance of a set of arithmetic means. This implies that the decomposition of the log-variance index will tend to understate the between group component of inequality relative to the decomposition of another index with equivalent sensitivity to different parts of the income distribution but which depends on arithmetic rather than geometric means.
    • This seems primarily to be a consequence of the fact that the between group component of inequality for the log-variance depends on the ratio of each group's geometric mean to the aggregate geometric mean whereas for the other indices this term depends on the ratios of arithmetic means Since the geometric mean is less affected by the skewness of the income distribution than the arithmetic mean, the log-variance of a set of geometric means will always be less than the log-variance of a set of arithmetic means. This implies that the decomposition of the log-variance index will tend to understate the between group component of inequality relative to the decomposition of another index with equivalent sensitivity to different parts of the income distribution but which depends on arithmetic rather than geometric means.
  • 14
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    • On Economic Inequality
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  • 15
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    • Decomposable Income Inequality Measures
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    • F. Bourguignon, ‘Decomposable Income Inequality Measures’, Econometrica, Vol. 47, July 1979, pp. 901–920.
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  • 17
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    • Poverty: An Ordinal Approach to Measurement
    • March
    • A.K. Sen, ‘ Poverty: An Ordinal Approach to Measurement’, Econometrica, Vol. 44, March 1976, pp. 219–231.
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  • 18
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    • Relative Deprivation and the Gun Coefficient: Comment
    • November
    • M.D. Hev & P. J. Lambert/Relative Deprivation and the Gun Coefficient: Comment, Quarterly Journal of Economics, Vol. 95, November 1980, pp. 567–573.
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    • Hev, M.D.1    Lambert, P.J.2
  • 19
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    • On the Interpretation and Disaggregation of Gini Coefficients
    • June
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  • 21


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.