Assessing inequality using percentile shares
Abstract. At least since Thomas Piketty’s best-selling Capital in the Twenty-First
Century (2014, Cambridge, MA: The Belknap Press), percentile shares have
become a popular approach for analyzing distributional inequalities. In their
work on the development of top incomes, Piketty and collaborators typically
report top-percentage shares, using varying percentages as thresholds (top 10%,
top 1%, top 0.1%, etc.). However, analysis of percentile shares at other
positions in the distribution may also be of interest. In this article, I
present a new command, pshare, that estimates percentile shares from
individual-level data and displays the results using histograms or stacked bar
charts.
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Ben Jann
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pshare, percentile shares, Lorenz curve, concentration curve, inequality, income distribution, wealth distribution, graphics
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