Showing 1 - 10 of 24
Lorenz curves and associated tools for ranking income distributions are commonly estimated on the assumption that full, unbiased samples are available. However, it is common to find income and wealth distributions that are routinely censored or trimmed. We derive the sampling distribution for a...
Persistent link: https://www.econbiz.de/10010745060
We show how a collection of results in the literature on the empirical estimation of welfare indicators from sample data can be unified. We also demonstrate how some of these ideas can be extended to empirically important cases where the data have been trimmed or censored.
Persistent link: https://www.econbiz.de/10010746196
Lorenz curves and second-order dominance criteria are known to be sensitive to data contamination in the right tail of the distribution. We propose two ways of dealing with the problem: (1) Estimate Lorenz curves using parametric models for income distributions, and (2) Combine empirical...
Persistent link: https://www.econbiz.de/10010746497
Distributional dominance criteria are commonly applied to draw welfare in- ferences about comparisons, but conclusions drawn from empirical imple- mentations of dominance criteria may be inßuenced by data contamination. We examine a non-parametric approach to reÞning Lorenz-type comparisons...
Persistent link: https://www.econbiz.de/10011071290
Distributional dominance criteria are commonly applied to draw welfare inferences about comparisons, but conclusions drawn from empirical implementations of dominance criteria may be influenced by data contamination. We examine a non-parametric approach to refining Lorenz-type comparisons and...
Persistent link: https://www.econbiz.de/10005510522
Lorenz curves and associated tools for ranking income distributions are commonly estimated on the assumption that full, unbiased samples are available. However, it is common to find income and wealth distributions that are routinely censored or trimmed. We derive the sampling distribution for a...
Persistent link: https://www.econbiz.de/10005510539
Lorenz curves and second-order dominance criteria are known to be sensitive to data contamination in the right tail of the distribution. We propose two ways of dealing with the problem: (1) Estimate Lorenz curves using parametric models for income distributions, and (2) Combine empirical...
Persistent link: https://www.econbiz.de/10005310317
Persistent link: https://www.econbiz.de/10005711563
Persistent link: https://www.econbiz.de/10005711574
The economic analysis of income distribution and related topics makes extensive use of dominance criteria to draw inferences about welfare comparisons. However it is possible that - just as some inequality statistics can be very sensitive to extreme values - conclusions drawn from empirical...
Persistent link: https://www.econbiz.de/10005670743