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Replication data for: How Closely Do Top Income Shares Track Other Measures of Inequality?

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Title Replication data for: How Closely Do Top Income Shares Track Other Measures of Inequality?
 
Identifier https://doi.org/10.7910/DVN/5TQGOO
 
Creator Leigh, Andrew
 
Publisher Harvard Dataverse
 
Description 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.
 
Date 2007