In 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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Paper provided by Centre for Economic Policy Research, Research School of Social Sciences, Australian National University in its series CEPR Discussion Papers with number
562.
Find related papers by JEL classification: C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution N30 - Economic History - - Labor and Consumers, Demography, Education, Income, and Wealth - - - General, International, or Comparative
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Dan Andrews & Christopher Jencks & Andrew Leigh, 2009.
"Do Rising Top Incomes Lift All Boats?,"
CAMA Working Papers
2009-17, Australian National University, Centre for Applied Macroeconomic Analysis.
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