Literature DB >> 18367273

Correcting the concentration index.

Guido Erreygers1.   

Abstract

In recent years attention has been drawn to several shortcomings of the Concentration Index, a frequently used indicator of the socioeconomic inequality of health. Some modifications have been suggested, but these are only partial remedies. This paper proposes a corrected version of the Concentration Index which is superior to the original Concentration Index and its variants, in the sense that it is a rank-dependent indicator which satisfies four key requirements (transfer, level independence, cardinal invariance, and mirror). The paper also shows how the corrected Concentration Index can be decomposed and generalized.

Mesh:

Year:  2008        PMID: 18367273     DOI: 10.1016/j.jhealeco.2008.02.003

Source DB:  PubMed          Journal:  J Health Econ        ISSN: 0167-6296            Impact factor:   3.883


  148 in total

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2.  On decomposing the inequality and inequity change in health care utilization: change in means, or change in the distributions?

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3.  An experimental test of the concentration index.

Authors:  Han Bleichrodt; Kirsten I M Rohde; Tom Van Ourti
Journal:  J Health Econ       Date:  2012-01-12       Impact factor: 3.883

4.  Income-related inequalities and inequities in health care services utilisation in 18 selected OECD countries.

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Journal:  Eur J Health Econ       Date:  2013-12-14

5.  Analysis of socioeconomic health inequalities using the concentration index.

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Journal:  Int J Public Health       Date:  2009-10-02       Impact factor: 3.380

6.  Socioeconomic disparities and the familial coexistence of child stunting and maternal overweight in Guatemala.

Authors:  Jounghee Lee; Robert F Houser; Aviva Must; Patricia Palma de Fulladolsa; Odilia I Bermudez
Journal:  Econ Hum Biol       Date:  2011-08-16       Impact factor: 2.184

7.  conindex: Estimation of concentration indices.

Authors:  Owen O'Donnell; Stephen O'Neill; Tom Van Ourti; Brendan Walsh
Journal:  Stata J       Date:  2016 1st Quarter       Impact factor: 2.637

8.  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

9.  Decomposing income-related inequality in cervical screening in 67 countries.

Authors:  Brittany McKinnon; Sam Harper; Spencer Moore
Journal:  Int J Public Health       Date:  2010-12-14       Impact factor: 3.380

10.  Do healthcare tax credits help poor-health individuals on low incomes?

Authors:  Cinzia Di Novi; Anna Marenzi; Dino Rizzi
Journal:  Eur J Health Econ       Date:  2017-03-15
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