Literature DB >> 15495147

The bounds of the concentration index when the variable of interest is binary, with an application to immunization inequality.

Adam Wagstaff1.   

Abstract

When the health sector variable whose inequality is being investigated is binary, the minimum and maximum possible values of the concentration index are equal to micro-1 and 1-micro, respectively, where micro is the mean of the variable in question. Thus as the mean increases, the range of the possible values of the concentration index shrinks, tending to zero as the mean tends to one and the concentration index tends to zero. Examples are presented on levels of and inequalities in immunization across 41 developing countries, and on changes in coverage and inequalities in selected countries. Copyright (c) 2004 John Wiley & Sons, Ltd.

Mesh:

Year:  2005        PMID: 15495147     DOI: 10.1002/hec.953

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


  183 in total

1.  Welfare-related health inequality: does the choice of measure matter?

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

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

Authors:  Hai Zhong
Journal:  Int J Health Care Finance Econ       Date:  2010-11-03

3.  Trends in socioeconomic inequalities in adult health behaviors among U.S. states, 1990-2004.

Authors:  Sam Harper; John Lynch
Journal:  Public Health Rep       Date:  2007 Mar-Apr       Impact factor: 2.792

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

Authors:  Marion Devaux
Journal:  Eur J Health Econ       Date:  2013-12-14

5.  Socioeconomic inequality in malnutrition in developing countries.

Authors:  Ellen Van de Poel; Ahmad Reza Hosseinpoor; Niko Speybroeck; Tom Van Ourti; Jeanette Vega
Journal:  Bull World Health Organ       Date:  2008-04       Impact factor: 9.408

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

Authors:  Peter Konings; Sam Harper; John Lynch; Ahmad Reza Hosseinpoor; Dirk Berkvens; Vincent Lorant; Andrea Geckova; Niko Speybroeck
Journal:  Int J Public Health       Date:  2009-10-02       Impact factor: 3.380

7.  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

8.  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

9.  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

10.  Is economic inequality in infant mortality higher in urban than in rural India?

Authors:  Abhishek Kumar; Abhishek Singh
Journal:  Matern Child Health J       Date:  2014-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.