Social Indicators Research

, Volume 130, Issue 2, pp 523–535 | Cite as

Multidimensional Human Opportunity Index

  • T. M. Tonmoy Islam
  • Shabana Mitra


One fact that emerges from the evaluation of the Millennium Development Goals is that not all countries met all the goals and there are significant complementaries among failing on specific goals. This paper proposes the Multidimensional Human Opportunity Index (MHOI) that focuses on the complementaries among access to multiple services. We focus on access to services for children, with the aim of capturing equality in opportunity for children from diverse socio-economic backgrounds. This index builds on the Human Opportunity Index of the World Bank that measures children’s access to a basic service, such as access to clean water. However, the MHOI differs from the parent index in that we measure joint access to multiple services or access to a bundle of services. We apply the MHOI on two Himalayan states of South Asia, Nepal and Bhutan, and show that although each basic service is available to a large proportion of the population, only two-thirds in Bhutan and one half in Nepal have access to the bundle of basic services in 2011–2012.


Multidimensional Equality of opportunity Poverty 

JEL Classification

D72 D78 O20 


  1. Aaronson, D. (1998). Using sibling data to estimate the impact of neighborhoods on children’s educational outcomes. Journal of Human Resources, 33(4), 915–946.CrossRefGoogle Scholar
  2. Alkire, S., & Foster, J. E. (2011). Counting and multidimensional poverty measurement. Journal of Public Economics, 95(7–8), 476–487.CrossRefGoogle Scholar
  3. Altonji, J. G., & Dunn, T. A. (1996). The effects of family characteristics on the return to education. The Review of Economics and Statistics, 78(4), 692–704.CrossRefGoogle Scholar
  4. Barros, R., Ferreira, F., Vega, J. M., & Chanduvi, J. S. (2009). Measuring inequality of opportunities in Latin America and the Caribbean. Washington DC: World Bank Publications.Google Scholar
  5. Becker, G. S., & Tomes, N. (1986). Human capital and the rise and fall of families. Journal of Labor Economics, 4(3), S1–S39.CrossRefGoogle Scholar
  6. Behrman, J. R., Gaviria, A., & Szekely, M. (2001). Intergenerational mobility in latin America. Economia, 2(1), 1–31.Google Scholar
  7. Bhutan Living Standards Survey 2012 Report. (2013). National Statistics Bureau (Bhutan) and Asian Development Bank.Google Scholar
  8. Chetty, R., Hendren, N., & Katz, L. F. (2015). The effects of exposure to better neighborhoods on children: New evidence from the moving to opportunity experiment. Technical report, National Bureau of Economic Research.Google Scholar
  9. Currie, J. (2009). Healthy, wealthy, and wise? Socioeconomic status, poor health in childhood, and human capital development. Journal of Economic Literature, 47(1), 87–122.CrossRefGoogle Scholar
  10. Datcher, L. (1982). Effects of community and family background on achievement. The Review of Economics and Statistics, 64(1), 32–41.CrossRefGoogle Scholar
  11. Durlauf, S. N. (1996). A theory of persistent income inequality. Journal of Economic Growth, 1(1), 75–93.CrossRefGoogle Scholar
  12. Ferreira, S. G., & Veloso, F. A. (2006). Intergenerational mobility of wages in Brazil. Brazilian Review of Econometrics, 26(2), 181.CrossRefGoogle Scholar
  13. Gong, H., Leigh, A., & Meng, X. (2012). Intergenerational income mobility in urban China. The Review of Income and Wealth, 58(3), 481–503.CrossRefGoogle Scholar
  14. Islam, T. M. Tonmoy. (2013). Childhood neighborhood conditions and the persistence of adult income. Regional Science and Urban Economics, 43(4), 684–693.CrossRefGoogle Scholar
  15. Katz, L. F., Kling, J. R., & Liebman, J. B. (2001). Moving to opportunity in boston: Early results of a randomized mobility experiment. Quarterly Journal of Economics, 116(2), 607–654.CrossRefGoogle Scholar
  16. Kling, J. R., Ludwig, J., & Katz, L. F. (2005). Neighborhood effects on crime for female and male youth: Evidence from a randomized housing voucher experiment. The Quarterly Journal of Economics, 120(1), 87–130.Google Scholar
  17. Lee, C. I., & Solon, G. (2009). Trends in intergenerational income mobility. The Review of Economics and Statistics, 91(4), 766–772.CrossRefGoogle Scholar
  18. Mazumder, B. (2005). Fortunate sons: New estimates of intergenerational mobility in the united states using social security earnings data. The Review of Economics and Statistics, 87(2), 235–255.CrossRefGoogle Scholar
  19. Nepal—Nepal Living Standards Survey 2010–2011. (2012). Central Bureau of Statistics—Government of Nepal.Google Scholar
  20. Osterbacka, E. (2001). Family background and economic status in Finland. The Scandinavian Journal of Economics, 103(3), 467–484.CrossRefGoogle Scholar
  21. Osterberg, T. (2000). Intergenerational income mobility in Sweden: What does tax data show? The Review of Income and Wealth, 46(4), 421–436.CrossRefGoogle Scholar
  22. Sen, A. (1980). Equality of what? The Tanner Lecture on Human Values.Google Scholar
  23. Solon, G. (1992). Intergenerational income mobility in the united states. The American Economic Review, 82(3), 393–408.Google Scholar
  24. Wiegand, J. (1997). Intergenerational earnings mobility in Germany. Unpublished manuscript.Google Scholar
  25. Zimmerman, D. J. (1992). Regression twoard mediocrity in economic stature. The American Economic Review, 82(3), 409–429.Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  1. 1.Elon UniversityElonUSA
  2. 2.Indian Institute of ManagementBangaloreIndia

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