How Closely Do Top Income Shares Track Other Measures of Inequality?
AbstractIn recent years, researchers have used taxation statistics to estimate the share of total income held by the richest groups, such as the top 10% or the top 1%. Compiling a standardised top income shares dataset for thirteen developed countries, I find that there is a strong and significant relationship between top income shares and broader inequality measures, such as the gini coefficient. This suggests that panel data on top income shares may be a useful substitute for other measures of inequality over periods when alternative income distribution measures are of low quality, or unavailable
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Bibliographic InfoPaper provided by Centre for Economic Policy Research, Research School of Economics, Australian National University in its series CEPR Discussion Papers with number 562.
Date of creation: Oct 2007
Date of revision:
inequality; income distribution; top incomes; panel data;
Other versions of this item:
- Andrew Leigh, 2007. "How Closely Do Top Income Shares Track Other Measures of Inequality?," Economic Journal, Royal Economic Society, vol. 117(524), pages F619-F633, November.
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution
- N30 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - General, International, or Comparative
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-10-27 (All new papers)
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