Assessing inequality using percentile shares
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.
Volume (Year): 16 (2016)
Issue (Month): 2 (June)
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References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Stephen P. Jenkins, 1999. "Analysis of income distributions," Stata Technical Bulletin, StataCorp LP, vol. 8(48).
- Anthony B. Atkinson & Thomas Piketty & Emmanuel Saez, 2011.
"Top Incomes in the Long Run of History,"
Journal of Economic Literature,
American Economic Association, vol. 49(1), pages 3-71, March.
- Anthony B. Atkinson & Thomas Piketty & Emmanuel Saez, 2009. "Top Incomes in the Long Run of History," NBER Working Papers 15408, National Bureau of Economic Research, Inc.
- Anthony Atkinson & Thomas Piketty & Emmanuel Saez, 2011. "Top Incomes in the Long Run of History," Post-Print halshs-00754557, HAL.
- Thomas Piketty & Emmanuel Saez, 2014. "Inequality in the long run," PSE - Labex "OSE-Ouvrir la Science Economique" halshs-01053609, HAL. Full references (including those not matched with items on IDEAS)
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