1994
DOI: 10.2307/2527065
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Testing for Marginal Changes in Income Distributions with Lorenz and Concentration Curves

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Cited by 46 publications
(18 citation statements)
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“…If the interest is to test dominance of a concentration curve(s) against the Lorenz curve of expenditure/consumption or against another concentration curve estimated from the same sample, then the standard errors for the differences between curve ordinates must be computed though this is complicated by the fact that, in such cases, the curves are dependent. An appropriate variance-covariance matrix which allows for dependence between curves was derived by Bishop et al (1994) and Davidson & Duclos (1997) (Note 8)to help overcome the problem. Dominance tests in this study followed the above which was applied by Younger (1999, 2000) and O'Donnell et al (2007) but in addition to accounting for the possible dependence between concentration curves, the current study used the covariance matrix for the ordinates estimates which was also used by Sahn and Younger (1999).…”
Section: Methodsmentioning
confidence: 99%
“…If the interest is to test dominance of a concentration curve(s) against the Lorenz curve of expenditure/consumption or against another concentration curve estimated from the same sample, then the standard errors for the differences between curve ordinates must be computed though this is complicated by the fact that, in such cases, the curves are dependent. An appropriate variance-covariance matrix which allows for dependence between curves was derived by Bishop et al (1994) and Davidson & Duclos (1997) (Note 8)to help overcome the problem. Dominance tests in this study followed the above which was applied by Younger (1999, 2000) and O'Donnell et al (2007) but in addition to accounting for the possible dependence between concentration curves, the current study used the covariance matrix for the ordinates estimates which was also used by Sahn and Younger (1999).…”
Section: Methodsmentioning
confidence: 99%
“…The range of Kakwani progressivity index is from +1, denoting the highest degree of progressivity, to -2, reflecting the highest possible degree of regressively. A value of zero for the Kakwani progressivity index would indicate that health care payments were proportional to income (20).…”
Section: The Kakwani Progressivity Indexmentioning
confidence: 99%
“…For the dominance tests standard errors of the ordinates of curves and of differences in ordinates are computed, allowing for dependence between curves where appropriate (Bishop, Chow, and Formby 1994;Davidson and Duclos 1997).…”
Section: D a T A A N D M E T H O D Smentioning
confidence: 99%