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.
AtkinsonA. B., PikettyT., and SaezE.2011. Top incomes in the long run of history. Journal of Economic Literature49: 3–71.
2.
BinderD. A., and KovacevicM. S.1995. Estimating some measures of income inequality from survey data: An application of the estimating equations approach. Survey Methodology21: 137–145.
CowellF. A.2011. Measuring Inequality. 3rd ed. Oxford: Oxford University Press.
5.
CoxN. J.1999. gr42: Quantile plots, generalized. Stata Technical Bulletin51: 16–18. Reprinted in Stata Technical Bulletin Reprints, vol. 9, pp. 113–116. College Station, TX: Stata Press.
6.
HyndmanR. J., and FanY.1996. Sample quantiles in statistical packages. American Statistician50: 361–365.
7.
JannB.2005. Making regression tables from stored estimates. Stata Journal5: 288–308.
8.
JannB.2007. Making regression tables simplified. Stata Journal7: 227–244.
9.
JannB.2014. Plotting regression coefficients and other estimates. Stata Journal14: 708–737.
10.
JenkinsS. P.1999. sg104: Analysis of income distributions. Stata Technical Bulletin48: 4–18. Reprinted in Stata Technical Bulletin Reprints, vol. 8, pp. 243–260. College Station, TX: Stata Press.
11.
JenkinsS. P.2006. svylorenz: Stata module to derive distribution-free variance estimates from complex survey data, of quantile group shares of a total, cumulative quantile group shares. Statistical Software Components S456602, Department of Economics, Boston College. https://ideas.repec.org/c/boc/bocode/s456602.html.
12.
KakwaniN. C.1977. Measurement of tax progressivity: An international comparison. Economic Journal87: 71–80.
13.
KovačevićM. S., and BinderD. A.1997. Variance estimation for measures of income inequality and polarization—The estimating equations approach. Journal of Official Statistics13: 41–58.
14.
LambertP. J.2001. The Distribution and Redistribution of Income. 3rd ed. Manchester: Manchester University Press.
15.
LermanR. I., and YitzhakiS.1989. Improving the accuracy of estimates of Gini coefficients. Journal of Econometrics42: 43–47.
16.
PenJ.1971. Income Distribution.London: Allen Lane.
17.
PikettyT.2014. Capital in the Twenty-First Century.Cambridge, MA: Belknap Press.
18.
PikettyT., and SaezE.2014. Inequality in the long run. Science344: 838–843.
