Improving the accuracy of estimates of Gini coefficients

This paper presents a simple method for deriving Gini coefficients that makes full use of the detail from individual records. We develop this procedure for weighted samples of individuals. Next, we compare these precise measures of Gini coefficients with measures based on grouped data. The downward...

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Published in:Journal of econometrics 1989-09, Vol.42 (1), p.43-47
Main Authors: Lerman, Robert I., Yitzhaki, Shlomo
Format: Article
Language:English
Subjects:
Accuracy
Bias
Econometrics
Economic models
Estimates
Exact sciences and technology
Improvements
Income distribution
Inequality
Mathematics
Probability and statistics
Samples
Sciences and techniques of general use
Statistical analysis
Statistics
Studies
Weighted
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container_title Journal of econometrics
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creator Lerman, Robert I.
Yitzhaki, Shlomo
description This paper presents a simple method for deriving Gini coefficients that makes full use of the detail from individual records. We develop this procedure for weighted samples of individuals. Next, we compare these precise measures of Gini coefficients with measures based on grouped data. The downward bias from grouped data is small as a percentage of inequality (about 1.5 to 2.0 percent), but rises with the degree of inequality.
doi_str_mv 10.1016/0304-4076(89)90074-2
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source International Bibliography of the Social Sciences (IBSS); Backfile Package - Economics, Econometrics and Finance (Legacy) [YET]; Backfile Package - Mathematics (Legacy) [YMT]
subjects Accuracy
Bias
Econometrics
Economic models
Estimates
Exact sciences and technology
Improvements
Income distribution
Inequality
Mathematics
Probability and statistics
Samples
Sciences and techniques of general use
Statistical analysis
Statistics
Studies
Weighted
title Improving the accuracy of estimates of Gini coefficients
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