Assessing inequality using percentile shares
Publisher DOI
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 distri-
bution may also be of interest. In this paper I present a new Stata command called
pshare that estimates percentile shares from individual-level data and displays the
results using histograms or stacked bar charts.
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 distri-
bution may also be of interest. In this paper I present a new Stata command called
pshare that estimates percentile shares from individual-level data and displays the
results using histograms or stacked bar charts.
Date Issued
2016
Publication Type
Article
Language(s)
en
Author(s)
Additional Credits
Journal
Stata journal
Publisher
Stata Press
ISSN
1536-867X
Access(Rights)
restricted