Literature DB >> 20461123

Inequality in Human Development: An Empirical Assessment of 32 Countries.

Michael Grimm, Kenneth Harttgen, Stephan Klasen, Mark Misselhorn, Teresa Munzi, Timothy Smeeding.   

Abstract

One of the most frequent critiques of the HDI is that is does not take into account inequality within countries in its three dimensions. In this paper, we apply a simply approach to compute the three components and the overall HDI for quintiles of the income distribution. This allows a comparison of the level in human development of the poor with the level of the non-poor within countries, but also across countries. This is an application of the method presented in Grimm et al. (World Development 36(12):2527-2546, 2008) to a sample of 21 low and middle income countries and 11 industrialized countries. In particular the inclusion of the industrialized countries, which were not included in the previous work, implies to deal with a number of additional challenges, which we outline in this paper. Our results show that inequality in human development within countries is high, both in developed and industrialized countries. In fact, the HDI of the lowest quintiles in industrialized countries is often below the HDI of the richest quintile in many middle income countries. We also find, however, a strong overall negative correlation between the level of human development and inequality in human development.

Entities:  

Year:  2009        PMID: 20461123      PMCID: PMC2861180          DOI: 10.1007/s11205-009-9497-7

Source DB:  PubMed          Journal:  Soc Indic Res        ISSN: 0303-8300


  2 in total

1.  Life expectancy by employment status, income, and education in the National Longitudinal Mortality Study.

Authors:  E Rogot; P D Sorlie; N J Johnson
Journal:  Public Health Rep       Date:  1992 Jul-Aug       Impact factor: 2.792

2.  Income differences in mortality: a register-based follow-up study of three million men and women.

Authors:  P Martikainen; P Mäkelä; S Koskinen; T Valkonen
Journal:  Int J Epidemiol       Date:  2001-12       Impact factor: 7.196

  2 in total
  4 in total

1.  The Subnational Human Development Database.

Authors:  Jeroen Smits; Iñaki Permanyer
Journal:  Sci Data       Date:  2019-03-12       Impact factor: 6.444

2.  Modeling the potential impacts of improved monthly income on child stunting in India: a subnational geospatial perspective.

Authors:  Satvik Kishore; Tinku Thomas; Harshpal Sachdev; Anura V Kurpad; Patrick Webb
Journal:  BMJ Open       Date:  2022-04-05       Impact factor: 3.006

3.  Social factors associated with centenarian rate (CR) in 32 OECD countries.

Authors:  Jong In Kim
Journal:  BMC Int Health Hum Rights       Date:  2013-03-08

4.  Nationally and regionally representative analysis of 1.65 million children aged under 5 years using a child-based human development index: A multi-country cross-sectional study.

Authors:  Jan-Walter De Neve; Kenneth Harttgen; Stéphane Verguet
Journal:  PLoS Med       Date:  2020-03-16       Impact factor: 11.069

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.