Assessing inequality using percentile shares
Ben Jann
Stata Journal, 2016, vol. 16, issue 2, 264-300
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. Copyright 2016 by StataCorp LP.
Keywords: pshare; percentile shares; Lorenz curve; concentration curve; inequality; income distribution; wealth distribution; graphics (search for similar items in EconPapers)
Date: 2016
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