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Estimation and interpretation of measures of inequality, poverty, and social welfare using Stata

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  • Stephen P. Jenkins

    (University of Essex)

Abstract

This presentation reviews methods for summarizing and comparing income distributions, together with the related literature about variance estimation for a range of summary measures. Although the focus is on income and the perspective is that of an economist, the methods have been widely applied to other variables, including health-related ones, and by researchers from many disciplines. Topics covered include the measurement of inequality, poverty, and social welfare, and distributional comparisons based on the dominance methods as well as summary indices. Illustrations are provided using a suite of public-domain Stata programs written by the author and collaborators (e.g., glcurve, ineqdeco, povdeco, sumdist, svyatk, svygei, svylorenz), together with built-in commands.

Suggested Citation

  • Stephen P. Jenkins, 2006. "Estimation and interpretation of measures of inequality, poverty, and social welfare using Stata," North American Stata Users' Group Meetings 2006 16, Stata Users Group, revised 06 Dec 2008.
    • Handle: RePEc:boc:asug06:16
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    File URL: http://repec.org/nasug2006/nasug2006_jenkins.zip
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    Cited by:

    1. Meng Yu & Shenjing He & Dunxu Wu & Hengpeng Zhu & Chris Webster, 2019. "Examining the Multi-Scalar Unevenness of High-Quality Healthcare Resources Distribution in China," IJERPH, MDPI, vol. 16(16), pages 1-20, August.
    2. Joan Costa-i-Font & Frank Cowell & Belén Saénz de Miera Juárez, 2017. "Does Insurance Expansion Alter Health Inequality and Mobility? Evidence from the Mexican Seguro Popular," CESifo Working Paper Series 6788, CESifo.
    3. Peter Warr & Lwin Lwin Aung, 2018. "Poverty and inequality impact of natural disasters: Myanmar, 2005 to 2010," Departmental Working Papers 2018-15, The Australian National University, Arndt-Corden Department of Economics.
    4. Lwin Lwin Aung & Peter Warr, 2021. "Decomposing changes in inequality: Evidence from Myanmar," Review of Development Economics, Wiley Blackwell, vol. 25(3), pages 1172-1196, August.

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