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India shining and Bharat drowning: Comparing two Indian states to the worldwide distribution in mathematics achievement

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  • Das, Jishnu
  • Zajonc, Tristan

Abstract

Increasing evidence suggests that the level and distribution of cognitive skills is more important to economic development than absolute measures of schooling attainment, and that income and skill inequality are inextricably linked. Yet for most of the developing world no internationally comparable estimates of cognitive skills exist. This paper uses student answers to publicly released questions from an international testing agency together with statistical methods from Item Response Theory to place secondary students from two Indian states--Orissa and Rajasthan--on a worldwide distribution of mathematics achievement. These two states fall below 43 of the 51 countries for which data exist. The bottom 5% of children rank higher than the bottom 5% in only three countries--South Africa, Ghana and Saudi Arabia. But not all students test poorly. Inequality in the test-score distribution for both states is next only to South Africa. The combination of India's size and large variance in achievement give both the perceptions that India is shining even as Bharat, the vernacular for India, is drowning. How India's development unfolds will depend critically on how the skill distribution evolves and how low- and high-skilled workers interact in the labor market.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Development Economics.

Volume (Year): 92 (2010)
Issue (Month): 2 (July)
Pages: 175-187

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Handle: RePEc:eee:deveco:v:92:y:2010:i:2:p:175-187

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Web page: http://www.elsevier.com/locate/devec

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Keywords: Schooling Test scores Inequality Item response Growth;

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References

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  1. Micklewright, John & Schnepf, Sylke V., 2006. "Inequality of Learning in Industrialised Countries," IZA Discussion Papers 2517, Institute for the Study of Labor (IZA).
  2. Kremer, M & Maskin, E, 1996. "Wage Inequality and Segregation by Skill," Working papers 96-23, Massachusetts Institute of Technology (MIT), Department of Economics.
  3. Sascha O. Becker & Ludger Woessmann, 2009. "Was Weber Wrong? A Human Capital Theory of Protestant Economic History," The Quarterly Journal of Economics, MIT Press, vol. 124(2), pages 531-596, May.
  4. R. Bock & Murray Aitkin, 1981. "Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm," Psychometrika, Springer, vol. 46(4), pages 443-459, December.
  5. Francine D. Blau & Lawrence M. Kahn, 2001. "Do Cognitive Test Scores Explain Higher US Wage Inequality?," NBER Working Papers 8210, National Bureau of Economic Research, Inc.
  6. Wendy Yen & George Burket & Robert Sykes, 1991. "Nonunique solutions to the likelihood equation for the three-parameter logistic model," Psychometrika, Springer, vol. 56(1), pages 39-54, March.
  7. Kijima, Yoko, 2006. "Why did wage inequality increase? Evidence from urban India 1983-99," Journal of Development Economics, Elsevier, vol. 81(1), pages 97-117, October.
  8. Eric A. Hanushek & Ludger Woessmann, 2009. "Do Better Schools Lead to More Growth? Cognitive Skills, Economic Outcomes, and Causation," CESifo Working Paper Series 2524, CESifo Group Munich.
  9. Keller, Wolfgang, 2002. "International Technology Diffusion," CEPR Discussion Papers 3133, C.E.P.R. Discussion Papers.
  10. Bedard, Kelly & Ferrall, Christopher, 2003. "Wage and test score dispersion: some international evidence," Economics of Education Review, Elsevier, vol. 22(1), pages 31-43, February.
  11. Stephen Nickell, 2003. "Poverty and Worklessness in Britain," CEP Discussion Papers dp0579, Centre for Economic Performance, LSE.
  12. Robert Mislevy, 1991. "Randomization-based inference about latent variables from complex samples," Psychometrika, Springer, vol. 56(2), pages 177-196, June.
  13. Lant Pritchett, 2004. "Towards a New Consensus for Addressing the Global Challenge of the Lack of Education," Working Papers 43, Center for Global Development.
  14. Das, Jishnu & Zajonc, Tristan, 2008. "India shining and Bharat drowning: comparing two Indian states to the worldwide distribution in mathematics achievement," Policy Research Working Paper Series 4644, The World Bank.
  15. Eric Hanushek & Ludger Woessmann, 2008. "The Role of Cognitive Skills in Economic Development," Discussion Papers 07-034, Stanford Institute for Economic Policy Research.
  16. Jamison, Eliot A. & Jamison, Dean T. & Hanushek, Eric A., 2007. "The effects of education quality on income growth and mortality decline," Economics of Education Review, Elsevier, vol. 26(6), pages 771-788, December.
  17. Lee, Doo Won & Lee, Tong Hun, 1995. "Human capital and economic growth Tests based on the international evaluation of educational achievement," Economics Letters, Elsevier, vol. 47(2), pages 219-225, February.
  18. Robert J. Barro, 2001. "Human Capital and Growth," American Economic Review, American Economic Association, vol. 91(2), pages 12-17, May.
  19. Deon Filmer & Amer Hasan & Lant Pritchett, 2006. "A Millennium Learning Goal: Measuring Real Progress in Education," Working Papers 97, Center for Global Development.
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Blog mentions

As found by EconAcademics.org, the blog aggregator for Economics research:
  1. Geniuses and economic development
    by Ajay Shah in Ajay Shah's blog on 2010-09-11 21:54:00
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Cited by:
  1. Emran, M. Shahe & Shilpi, Forhad, 2012. "Gender, geography and generations : intergenerational educational mobility in post-reform India," Policy Research Working Paper Series 6055, The World Bank.
  2. Mohammad Niaz Asadullah, Nazmul Chaudhury, 2013. "Primary Schooling, Student Learning, and School Quality in Rural Bangladesh-Working Paper 349," Working Papers 349, Center for Global Development.
  3. Pritchett, Lant & Beatty, Amanda, 2012. "The Negative Consequences of Overambitious Curricula in Developing Countries," Working Paper Series rwp12-035, Harvard University, John F. Kennedy School of Government.
  4. Das, Jishnu & Zajonc, Tristan, 2008. "India shining and Bharat drowning: comparing two Indian states to the worldwide distribution in mathematics achievement," Policy Research Working Paper Series 4644, The World Bank.

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