Literature DB >> 21674677

The concentration index of a binary outcome revisited.

Adam Wagstaff1.   

Abstract

The binary variable is one of the most common types of variables in the analysis of income-related health inequalities. I argue that while the binary variable has some unusual properties, it shares many of the properties of the ratio-scale variable and hence lends itself to both relative and absolute inequality analyses, albeit with some qualifications. I argue that criticisms of the normalization I proposed in an earlier paper, and of the use of the binary variable for inequality analysis, stem from a misrepresentation of the properties of the binary variable, as well as a switch of focus away from relative inequality to absolute inequality. I concede that my normalization is not uncontentious, but, in a way, that has not previously been noted.
Copyright © 2011 John Wiley & Sons, Ltd.

Mesh:

Year:  2011        PMID: 21674677     DOI: 10.1002/hec.1752

Source DB:  PubMed          Journal:  Health Econ        ISSN: 1057-9230            Impact factor:   3.046


  45 in total

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Authors:  Joachim R Frick; Nicolas R Ziebarth
Journal:  Eur J Health Econ       Date:  2012-03-25

2.  conindex: Estimation of concentration indices.

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3.  Putting the cart before the horse. A comment on Wagstaff on inequality measurement in the presence of binary variables.

Authors:  Guido Erreygers; Tom Van Ourti
Journal:  Health Econ       Date:  2011-06-15       Impact factor: 3.046

4.  Health inequalities in the European Union: an empirical analysis of the dynamics of regional differences.

Authors:  Laia Maynou; Marc Saez; Jordi Bacaria; Guillem Lopez-Casasnovas
Journal:  Eur J Health Econ       Date:  2014-06-06

5.  "Mirror, mirror, on the wall, who in this land is fairest of all?"--Distributional sensitivity in the measurement of socioeconomic inequality of health.

Authors:  Guido Erreygers; Philip Clarke; Tom Van Ourti
Journal:  J Health Econ       Date:  2011-11-22       Impact factor: 3.883

6.  Measuring socioeconomic inequality in health, health care and health financing by means of rank-dependent indices: a recipe for good practice.

Authors:  Guido Erreygers; Tom Van Ourti
Journal:  J Health Econ       Date:  2011-05-11       Impact factor: 3.883

7.  Measuring and decomposing socioeconomic inequality in catastrophic healthcare expenditures in Iran.

Authors:  Satar Rezaei; Mohammad Hajizadeh
Journal:  J Prev Med Public Health       Date:  2019-06-14

8.  EXAMINING SOCIOECONOMIC HEALTH DISPARITIES USING A RANK-DEPENDENT RÉNYI INDEX.

Authors:  Makram Talih
Journal:  Ann Appl Stat       Date:  2015-06       Impact factor: 2.083

9.  On age-specific variations in income-related inequalities in diabetes, hypertension and obesity.

Authors:  Martin Siegel; Markus Luengen; Stephanie Stock
Journal:  Int J Public Health       Date:  2012-05-09       Impact factor: 3.380

10.  Rising inequalities in income and health in China: who is left behind?

Authors:  Steef Baeten; Tom Van Ourti; Eddy van Doorslaer
Journal:  J Health Econ       Date:  2013-10-16       Impact factor: 3.883

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