IDEAS home Printed from https://ideas.repec.org/p/fip/fedgfe/2015-41.html
   My bibliography  Save this paper

The Income-Achievement Gap and Adult Outcome Inequality

Author

Abstract

This paper discusses various methods for assessing group differences in academic achievement using only the ordinal content of achievement test scores. Researchers and policymakers frequently draw conclusions about achievement differences between various populations using methods that rely on the cardinal comparability of test scores. This paper shows that such methods can lead to erroneous conclusions in an important application: measuring changes over time in the achievement gap between youth from high- and low-income households. Commonly-employed, cardinal methods suggest that this "income-achievement gap" did not change between the National Longitudinal Surveys of Youth (NLSY) 1979 and 1997 surveys. In contrast, ordinal methods show that this gap narrowed substantially for reading achievement and may have narrowed for math achievement as well. In fact, any weighting scheme that places more value on higher test scores must conclude that the reading income-achievement gap decreased between these two surveys. The situation for math achievement is more complex, but low-income students in the middle and high deciles of the low-income math achievement distribution unambiguously gained relative to their high-income peers. Furthermore, an anchoring exercise suggests that the narrowing of the income-achievement gap corresponds to an economically significant convergence in lifetime labor wealth and school completion rates for youth from high- and low-income backgrounds.

Suggested Citation

  • Eric R. Nielsen, 2015. "The Income-Achievement Gap and Adult Outcome Inequality," Finance and Economics Discussion Series 2015-41, Board of Governors of the Federal Reserve System (U.S.).
  • Handle: RePEc:fip:fedgfe:2015-41
    DOI: 10.17016/FEDS.2015.041
    as

    Download full text from publisher

    File URL: http://www.federalreserve.gov/econresdata/feds/2015/files/2015041pap.pdf
    File Function: Full text
    Download Restriction: no

    File URL: https://libkey.io/10.17016/FEDS.2015.041?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Garey Ramey & Valerie A. Ramey, 2010. "The Rug Rat Race," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 41(1 (Spring), pages 129-199.
    2. Timothy N. Bond & Kevin Lang, 2013. "The Evolution of the Black-White Test Score Gap in Grades K–3: The Fragility of Results," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1468-1479, December.
    3. Garry F. Barrett & Stephen G. Donald, 2003. "Consistent Tests for Stochastic Dominance," Econometrica, Econometric Society, vol. 71(1), pages 71-104, January.
    4. 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.
    5. Kevin Lang, 2010. "Measurement Matters: Perspectives on Education Policy from an Economist and School Board Member," Journal of Economic Perspectives, American Economic Association, vol. 24(3), pages 167-182, Summer.
    6. Flavio Cunha & James J. Heckman, 2008. "Formulating, Identifying and Estimating the Technology of Cognitive and Noncognitive Skill Formation," Journal of Human Resources, University of Wisconsin Press, vol. 43(4).
    7. Jonathan Guryan & Erik Hurst & Melissa Kearney, 2008. "Parental Education and Parental Time with Children," Journal of Economic Perspectives, American Economic Association, vol. 22(3), pages 23-46, Summer.
    8. Flavio Cunha & James J. Heckman & Susanne M. Schennach, 2010. "Estimating the Technology of Cognitive and Noncognitive Skill Formation," Econometrica, Econometric Society, vol. 78(3), pages 883-931, May.
    9. Eric A. Hanushek & Steven G. Rivkin, 2006. "School Quality and the Black-White Achievement Gap," NBER Working Papers 12651, National Bureau of Economic Research, Inc.
    10. Anne H. Gauthier & Timothy M. Smeeding & Frank F. Furstenberg, 2004. "Are Parents Investing Less Time in Children? Trends in Selected Industrialized Countries," Population and Development Review, The Population Council, Inc., vol. 30(4), pages 647-672, December.
    11. C. Russell Hill & Frank P. Stafford, 1974. "Allocation of Time to Preschool Children and Educational Opportunity," Journal of Human Resources, University of Wisconsin Press, vol. 9(3), pages 323-341.
    12. Joseph G. Altonji & Prashant Bharadwaj & Fabian Lange, 2012. "Changes in the Characteristics of American Youth: Implications for Adult Outcomes," Journal of Labor Economics, University of Chicago Press, vol. 30(4), pages 783-828.
    13. Mark Aguiar & Erik Hurst, 2007. "Measuring Trends in Leisure: The Allocation of Time Over Five Decades," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 122(3), pages 969-1006.
    14. Roland G. Fryer & Steven D. Levitt, 2006. "The Black-White Test Score Gap Through Third Grade," American Law and Economics Review, American Law and Economics Association, vol. 8(2), pages 249-281.
    15. Roland G. Fryer & Steven D. Levitt, 2004. "Understanding the Black-White Test Score Gap in the First Two Years of School," The Review of Economics and Statistics, MIT Press, vol. 86(2), pages 447-464, May.
    16. John Jerrim & Anna Vignoles, 2013. "Social mobility, regression to the mean and the cognitive development of high ability children from disadvantaged homes," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 176(4), pages 887-906, October.
    17. Atkinson, Anthony B., 1970. "On the measurement of inequality," Journal of Economic Theory, Elsevier, vol. 2(3), pages 244-263, September.
    18. Suzanne Bianchi, 2000. "Maternal employment and time with children: Dramatic change or surprising continuity?," Demography, Springer;Population Association of America (PAA), vol. 37(4), pages 401-414, November.
    19. Frederic Lord, 1975. "The ‘ability’ scale in item characteristic curve theory," Psychometrika, Springer;The Psychometric Society, vol. 40(2), pages 205-217, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Eric R. Nielsen, 2019. "Test Questions, Economic Outcomes, and Inequality," Finance and Economics Discussion Series 2019-013, Board of Governors of the Federal Reserve System (U.S.).
    2. Shirin A. Hashim & Thomas J. Kane & Thomas Kelley-Kemple & Mary E. Laski & Douglas O. Staiger, 2020. "Have Income-Based Achievement Gaps Widened or Narrowed?," NBER Working Papers 27714, National Bureau of Economic Research, Inc.
    3. Hanushek, Eric A. & Peterson, Paul E. & Talpey, Laura M. & Woessmann, Ludger, 2019. "The Unwavering SES Achievement Gap: Trends in U.S. Student Performance," Working Paper Series rwp19-012, Harvard University, John F. Kennedy School of Government.
    4. Eric A. Hanushek & Jacob D. Light & Paul E. Peterson & Laura M. Talpey & Ludger Woessmann, 2022. "Long-run Trends in the U.S. SES-Achievement Gap," Education Finance and Policy, MIT Press, vol. 17(4), pages 608-640, Fall.
    5. Richard J. Murnane & Sean F. Reardon, 2017. "Long-Term Trends in Private School Enrollments by Family Income," NBER Working Papers 23571, National Bureau of Economic Research, Inc.
    6. Christian Belzil & Jörgen Hansen, 2020. "The evolution of the US family income–schooling relationship and educational selectivity," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(7), pages 841-859, November.
    7. Montgomery, Christopher Jamil de & Sievertsen, Hans Henrik, 2019. "The Socio-Economic Gradient in Children’s Test-Scores – A Comparison Between the U.S. and Denmark," Nationaløkonomisk tidsskrift, Nationaløkonomisk Forening, vol. 2019(1), pages 1-25.
    8. Domicolo, Carly & Nielsen, Eric, 2022. "Male–female achievement variance comparisons are not robust," Economics Letters, Elsevier, vol. 220(C).
    9. Brian Jacob & Jesse Rothstein, 2016. "The Measurement of Student Ability in Modern Assessment Systems," Journal of Economic Perspectives, American Economic Association, vol. 30(3), pages 85-108, Summer.
    10. Anderson, Gordon & Fu, Rui & Leo, Teng Wah, 2022. "Health, loneliness and the ageing process in the absence of cardinal measure: Rendering intangibles tangible," The Journal of the Economics of Ageing, Elsevier, vol. 22(C).
    11. Eric R. Nielsen, 2015. "Achievement Gap Estimates and Deviations from Cardinal Comparability," Finance and Economics Discussion Series 2015-40, Board of Governors of the Federal Reserve System (U.S.).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Eric R. Nielsen, 2015. "Achievement Gap Estimates and Deviations from Cardinal Comparability," Finance and Economics Discussion Series 2015-40, Board of Governors of the Federal Reserve System (U.S.).
    2. Kertesi, Gábor & Kézdi, Gábor & Hajdu, Tamás, 2022. "Idő és pénz a gyermeknevelésben Magyarországon, 1993-2010 [Time and money in raising children in Hungary, 1993-2010]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(11), pages 1255-1297.
    3. Zhu, Guozhong & Vural, Gulfer, 2013. "Inter-generational effect of parental time and its policy implications," Journal of Economic Dynamics and Control, Elsevier, vol. 37(9), pages 1833-1851.
    4. Gimenez-Nadal, Jose Ignacio & Sevilla, Almudena, 2016. "Intensive Mothering and Well-being: The Role of Education and Child Care Activity," MPRA Paper 74249, University Library of Munich, Germany.
    5. Jonathan Guryan & Erik Hurst & Melissa Kearney, 2008. "Parental Education and Parental Time with Children," Journal of Economic Perspectives, American Economic Association, vol. 22(3), pages 23-46, Summer.
    6. Gimenez-Nadal, José Ignacio & Molina, José Alberto, 2020. "The Gender Gap in Time Allocation in Europe," IZA Discussion Papers 13461, Institute of Labor Economics (IZA).
    7. Gimenez-Nadal, Jose Ignacio & Molina, José Alberto, 2021. "How do women allocate their available time in Europe? Differences with men," GLO Discussion Paper Series 908, Global Labor Organization (GLO).
    8. Benjamín Villena-Rodán & Cecilia Ríos-Aguilar, 2011. "Causal Effects of Maternal Time-Investment on Children's Cognitive Outcomes," Documentos de Trabajo 285, Centro de Economía Aplicada, Universidad de Chile.
    9. McDonough, Ian K., 2015. "Dynamics of the black–white gap in academic achievement," Economics of Education Review, Elsevier, vol. 47(C), pages 17-33.
    10. Emilia Del Bono & Marco Francesconi & Yvonne Kelly & Amanda Sacker, 2016. "Early Maternal Time Investment and Early Child Outcomes," Economic Journal, Royal Economic Society, vol. 126(596), pages 96-135, October.
    11. J. Gimenez-Nadal & Jose Molina, 2013. "Parents’ education as a determinant of educational childcare time," Journal of Population Economics, Springer;European Society for Population Economics, vol. 26(2), pages 719-749, April.
    12. Richard J. Murnane, 2013. "U.S. High School Graduation Rates: Patterns and Explanations," Journal of Economic Literature, American Economic Association, vol. 51(2), pages 370-422, June.
    13. Timothy N. Bond & Kevin Lang, 2013. "The Evolution of the Black-White Test Score Gap in Grades K–3: The Fragility of Results," The Review of Economics and Statistics, MIT Press, vol. 95(5), pages 1468-1479, December.
    14. Hull, Marie & Norris, Jonathan, 2020. "The skill development of children of immigrants," Economics of Education Review, Elsevier, vol. 78(C).
    15. Ariel Kalil & Susan E. Meyer & William Delgado & Lisa A. Gennetian, 2020. "The Education Gradient in Maternal Enjoyment of Time in Childcare," Working Papers 2020-131, Becker Friedman Institute for Research In Economics.
    16. Nicoletti, Cheti & Tonei, Valentina, 2020. "Do parental time investments react to changes in child’s skills and health?," European Economic Review, Elsevier, vol. 127(C).
    17. Matthias Doepke & Anne Hannusch & Fabian Kindermann & Michèle Tertilt, 2022. "The Economics of Fertility: A New Era," NBER Working Papers 29948, National Bureau of Economic Research, Inc.
    18. Sonia Bhalotra & Martin Karlsson & Therese Nilsson & Nina Schwarz, 2022. "Infant Health, Cognitive Performance, and Earnings: Evidence from Inception of the Welfare State in Sweden," The Review of Economics and Statistics, MIT Press, vol. 104(6), pages 1138-1156, November.
    19. Sarah Flood & Joel McMurry & Aaron Sojourner & Matthew Wiswall, 2022. "Inequality in Early Care Experienced by US Children," Journal of Economic Perspectives, American Economic Association, vol. 36(2), pages 199-222, Spring.
    20. Slawa Rokicki & Mark E. McGovern, 2020. "Heterogeneity in Early Life Investments: A Longitudinal Analysis of Children's Time Use," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 66(3), pages 647-676, September.

    More about this item

    Keywords

    Achievement inequality; anchoring; human capital; measurement of inequality; ordinal statistics;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • I21 - Health, Education, and Welfare - - Education - - - Analysis of Education
    • I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:fip:fedgfe:2015-41. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ryan Wolfslayer ; Keisha Fournillier (email available below). General contact details of provider: https://edirc.repec.org/data/frbgvus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.