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Education and Its Distributional Impacts on Living Standards

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  • Takahiro Ito

Abstract

This paper investigates the determinants of living standards (measured by per capita consumption expenditure) at the household level, addressing heterogeneity in returns to education and endogeneity of educational status. The estimation results obtained through an instrumental variables quantile regression suggest that the endogeneity of education matters in determining the causal effect of education on living standards, while no evidence of the heterogeneity in the rate of returns to education is found. However, the results also provide evidence that impacts of other determinants vary significantly over the outcome (expenditure) distribution, and consequently a simulation based on the results shows that poverty alleviation impacts of education differs substantially between the instrumental variables quantile regression and standard instrumental variables regression results. The comparison of the two indicates the possibility that the impact on poverty reduction is likely to be overestimated in the standard instrumental variable regression.

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File URL: http://gcoe.ier.hit-u.ac.jp/research/discussion/2008/pdf/gd09-080.pdf
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Bibliographic Info

Paper provided by Institute of Economic Research, Hitotsubashi University in its series Global COE Hi-Stat Discussion Paper Series with number gd09-080.

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Date of creation: Aug 2009
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Handle: RePEc:hst:ghsdps:gd09-080

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Keywords: poverty; heterogeneous returns to education; instrumental variables quantile regression;

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References

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  1. Jolliffe, Dean, 2002. "Whose Education Matters in the Determination of Household Income? Evidence from a Developing Country," Economic Development and Cultural Change, University of Chicago Press, vol. 50(2), pages 287-312, January.
  2. Ito, Takahiro, 2009. "Caste discrimination and transaction costs in the labor market: Evidence from rural North India," Journal of Development Economics, Elsevier, vol. 88(2), pages 292-300, March.
  3. Geeta Gandhi Kingdon, 1997. "Does the Labour Market Explain Lower Female Schooling in India?," STICERD - Development Economics Papers - From 2008 this series has been superseded by Economic Organisation and Public Policy Discussion Papers 01, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
  4. Omar Arias & Kevin F. Hallock & Walter Sosa Escudero, 1999. "Individual Heterogeneity in the Returns to Schooling: Instrumental Variables Quantile Regression using Twins Data," Department of Economics, Working Papers 016, Departamento de Economía, Facultad de Ciencias Económicas, Universidad Nacional de La Plata.
  5. Datt, Gaurav & Jolliffe, Dean, 2005. "Poverty in Egypt: Modeling and Policy Simulations," Economic Development and Cultural Change, University of Chicago Press, vol. 53(2), pages 327-46, January.
  6. Yang, Dennis, 1995. "Education and Off-Farm Work," Working Papers 95-09, Duke University, Department of Economics.
  7. Victor Chernozhukov & Christian Hansen, 2005. "An IV Model of Quantile Treatment Effects," Econometrica, Econometric Society, vol. 73(1), pages 245-261, 01.
  8. Duraisamy, P., 2000. "Changes in Returns to Education in India, 1983-94: By Gender, Age-Cohort and Location," Papers 815, Yale - Economic Growth Center.
  9. Puja Vasudeva Dutta, 2006. "Returns to Education: New Evidence for India, 1983-1999," Education Economics, Taylor & Francis Journals, vol. 14(4), pages 431-451.
  10. Chernozhukov, Victor & Hansen, Christian, 2006. "Instrumental quantile regression inference for structural and treatment effect models," Journal of Econometrics, Elsevier, vol. 132(2), pages 491-525, June.
  11. P. Duraisamy, 2000. "Changes in Returns to Education in India, 1983-94: By Gender, Age-Cohort and Location," Working Papers 815, Economic Growth Center, Yale University.
  12. Abhijit Banerjee & Lakshmi Iyer & Rohini Somanathan, 2005. "History, Social Divisions, and Public Goods in Rural India," Journal of the European Economic Association, MIT Press, vol. 3(2-3), pages 639-647, 04/05.
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