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Educational Policies and Income Inequality

Author

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  • Checchi, Daniele

    (University of Milan)

  • van de Werfhorst, Herman G.

    (University of Amsterdam)

Abstract

In this paper we study the associations between educational policies, distributions of educational attainments and income distributions. By matching inequality measures on test scores, years of education and labour earnings by country, birth cohorts and gender, we show that inequality in education (measured both at quality and quantity levels) affect earnings inequality. We then consider potential endogeneity of educational distributions and we resort to instrumental estimation using information on government reforming activity in the field of education. By controlling for country-specific and time fixed effects, and by separating age and cohorts effects, we prove that educational inequality respond to educational reforms, identifying educational policies (like later entry into compulsory education or introduction of standardised tests) capable to reduce income inequalities thirty years later.

Suggested Citation

  • Checchi, Daniele & van de Werfhorst, Herman G., 2014. "Educational Policies and Income Inequality," IZA Discussion Papers 8222, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp8222
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    References listed on IDEAS

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    1. José De Gregorio & Jong–Wha Lee, 2002. "Education and Income Inequality: New Evidence From Cross‐Country Data," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 48(3), pages 395-416, September.
    2. Braga, Michela & Checchi, Daniele & Meschi, Elena, 2011. "Institutional Reforms and Educational Attainment in Europe: A Long Run Perspective," IZA Discussion Papers 6190, Institute of Labor Economics (IZA).
    3. Hanushek, Eric A. & Woessmann, Ludger, 2011. "The Economics of International Differences in Educational Achievement," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 3, chapter 2, pages 89-200, Elsevier.
    4. Freeman, Richard & Schettkat, Ronald, 2001. "Skill Compression, Wage Differentials, and Employment: Germany vs the US," Oxford Economic Papers, Oxford University Press, vol. 53(3), pages 582-603, July.
    5. O. Ashenfelter & D. Card (ed.), 2011. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 4, number 4.
    6. O. Ashenfelter & D. Card (ed.), 2011. "Handbook of Labor Economics," Handbook of Labor Economics, Elsevier, edition 1, volume 4, number 5.
    7. Green, David A. & Craig Riddell, W., 2003. "Literacy and earnings: an investigation of the interaction of cognitive and unobserved skills in earnings generation," Labour Economics, Elsevier, vol. 10(2), pages 165-184, April.
    8. Andrés Rodríguez‐Pose & Vassilis Tselios, 2009. "Education And Income Inequality In The Regions Of The European Union," Journal of Regional Science, Wiley Blackwell, vol. 49(3), pages 411-437, August.
    9. Deborah A. Cobb-Clarke & Mathias Sinning & Steven Stillman, 2011. "Migrant Youths' Educational Achievement: The Role of Institutions," ANU Working Papers in Economics and Econometrics 2011-565, Australian National University, College of Business and Economics, School of Economics.
    10. Oded, Galor, 2011. "Inequality, Human Capital Formation, and the Process of Development," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 4, chapter 0, pages 441-493, Elsevier.
    11. Vincent Vandenberge, 2006. "Achievement effectiveness and equity: the role of tracking, grade repetition and inter-school segregation," Applied Economics Letters, Taylor & Francis Journals, vol. 13(11), pages 685-693.
    12. Card, David, 1999. "The causal effect of education on earnings," Handbook of Labor Economics, in: O. Ashenfelter & D. Card (ed.), Handbook of Labor Economics, edition 1, volume 3, chapter 30, pages 1801-1863, Elsevier.
    13. 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.
    14. Eric A. Hanushek & Ludger Wössmann, 2006. "Does Educational Tracking Affect Performance and Inequality? Differences- in-Differences Evidence Across Countries," Economic Journal, Royal Economic Society, vol. 116(510), pages 63-76, March.
    15. Gabriela Schütz & Heinrich W. Ursprung & Ludger Wößmann, 2008. "Education Policy and Equality of Opportunity," Kyklos, Wiley Blackwell, vol. 61(2), pages 279-308, May.
    16. Giorgio Brunello & Daniele Checchi, 2007. "Does school tracking affect equality of opportunity? New international evidence [‘Educational opportunities and the role of institutions’]," Economic Policy, CEPR, CESifo, Sciences Po;CES;MSH, vol. 22(52), pages 782-861.
    17. Giorgio Brunello & Margherita Fort & Guglielmo Weber, 2009. "Changes in Compulsory Schooling, Education and the Distribution of Wages in Europe," Economic Journal, Royal Economic Society, vol. 119(536), pages 516-539, March.
    18. Jenkins, Stephen P. & Micklewright, John (ed.), 2007. "Inequality and Poverty Re-Examined," OUP Catalogue, Oxford University Press, number 9780199218127.
    19. Peracchi, Franco, 2006. "Educational Wage Premia and the Distribution of Earnings: An International Perspective," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 5, pages 189-254, Elsevier.
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    Cited by:

    1. Ghosh, sudeshna, 2017. "Education Attainment Forecasting and Economic Inequality United States," MPRA Paper 89712, University Library of Munich, Germany.
    2. Assaad, Ragui & Krafft, Caroline, 2015. "Is free basic education in Egypt a reality or a myth?," International Journal of Educational Development, Elsevier, vol. 45(C), pages 16-30.
    3. Yousef Makhlouf & Christopher Lalley, 2023. "Education Expansion, Income Inequality and Structural Transformation: Evidence From OECD Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 169(1), pages 255-281, September.
    4. De Hoyos Navarro,Rafael E. & Holland,Peter Anthony & Troiano,Sara, 2015. "Understanding the trends in learning outcomes in Argentina, 2000 to 2012," Policy Research Working Paper Series 7518, The World Bank.
    5. Valentin F. Lang & Ms. Marina Mendes Tavares, 2018. "The Distribution of Gains from Globalization," IMF Working Papers 2018/054, International Monetary Fund.
    6. Bettina Schuck & Nadia Steiber, 2018. "Does Intergenerational Educational Mobility Shape the Well-Being of Young Europeans? Evidence from the European Social Survey," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 139(3), pages 1237-1255, October.

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    More about this item

    Keywords

    educational inequality; test score; earnings inequality; educational policies;
    All these keywords.

    JEL classification:

    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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