Two flexible functional form approaches for approximating the Lorenz curve
DOI10.1016/0304-4076(94)01722-0zbMath0842.62099OpenAlexW1994864111MaRDI QIDQ1915471
Daniel J. Slottje, Hang Keun Ryu
Publication date: 4 August 1996
Published in: Journal of Econometrics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0304-4076(94)01722-0
Bayesian methodincome distributionapproximation errorsglobal approximationLorenz curvesconvexity conditionmaximum errorBernstein polynomial functionsdiscrete Legendre polynomialestimates of the Gini coefficientexponential polynomial seriesflexible form approaches
Applications of statistics to economics (62P20) Approximations to statistical distributions (nonasymptotic) (62E17)
Related Items (17)
Cites Work
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- Maximum entropy estimation of density and regression functions
- Some Generalized Functions for the Size Distribution of Income
- Distribution-Free Statistical Inference with Lorenz Curves and Income Shares
- Joint Confidence Intervals for Income Shares and Lorenz Curves
- A General Definition of the Lorenz Curve
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