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Dynamics of the black–white gap in academic achievement

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  • McDonough, Ian K.

Abstract

The black–white test score gap remains a measurable phenomenon in the United States. Up to this point the literature has primarily focused on the black–white achievement gap without taking into account the underlying mobility patterns of individual students as they progress from one grade to the next. However, the degree to which policy makers and educators should be concerned about the black–white test score gap should be tied to how mobile the two groups of students are through the distribution of test scores from one grade to the next. In this paper I apply two nonparametric estimators of distributional mobility to data on test scores and track black–white differences in mobility across the entire distribution of achievement. When compared to whites, blacks tend to be less upwardly mobile and more downwardly mobile for both math and reading. This pattern is particularly prominent for reading in the very early years of schooling.

Suggested Citation

  • McDonough, Ian K., 2015. "Dynamics of the black–white gap in academic achievement," Economics of Education Review, Elsevier, vol. 47(C), pages 17-33.
  • Handle: RePEc:eee:ecoedu:v:47:y:2015:i:c:p:17-33
    DOI: 10.1016/j.econedurev.2015.03.007
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    References listed on IDEAS

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    1. Charles T. Clotfelter & Helen F. Ladd & Jacob L. Vigdor, 2009. "The Academic Achievement Gap in Grades 3 to 8," The Review of Economics and Statistics, MIT Press, vol. 91(2), pages 398-419, May.
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    3. Neal, Derek, 2006. "Why Has Black-White Skill Convergence Stopped?," Handbook of the Economics of Education, in: Erik Hanushek & F. Welch (ed.), Handbook of the Economics of Education, edition 1, volume 1, chapter 9, pages 511-576, Elsevier.
    4. Moshe Buchinsky & Jennifer Hunt, 1999. "Wage Mobility In The United States," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 351-368, August.
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    14. Debopam Bhattacharya & Bhashkar Mazumder, 2011. "A nonparametric analysis of black–white differences in intergenerational income mobility in the United States," Quantitative Economics, Econometric Society, vol. 2(3), pages 335-379, November.
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    Cited by:

    1. Ian K. McDonough & Punarjit Roychowdhury & Gaurav Dhamija, 2021. "Measuring the Dynamics of the Achievement Gap Between Public and Private School Students During Early Life in India," Journal of Labor Research, Springer, vol. 42(1), pages 78-122, March.
    2. Mehtabul Azam, 2022. "Household income mobility in India, 1993–2011," Review of Development Economics, Wiley Blackwell, vol. 26(4), pages 1902-1943, November.
    3. Austin, Wes & Figlio, David & Goldhaber, Dan & Hanushek, Eric A. & Kilbride, Tara & Koedel, Cory & Sean Lee, Jaeseok & Lou, Jin & Özek, Umut & Parsons, Eric & Rivkin, Steven G. & Sass, Tim R. & Strunk, 2023. "Academic mobility in U.S. public schools: Evidence from nearly 3 million students," Journal of Public Economics, Elsevier, vol. 228(C).
    4. Kevin P. Mongeon & Shawn W. Ulrick & Michael P. Giannetto, 2017. "Explaining university course grade gaps," Empirical Economics, Springer, vol. 52(1), pages 411-446, February.

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    More about this item

    Keywords

    Black–white mobility gap; Black–white test score gap; Directional rank mobility; Staying probability; Student achievement; Transition probability;
    All these keywords.

    JEL classification:

    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • J69 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Other

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