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The mythical 'boy crisis'?

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  • Husain, Muna
  • Millimet, Daniel L.

Abstract

The popular press has put forth the idea that the US educational system is experiencing a "boy crisis," where boys are losing ground to girls across multiple dimensions. Here, we analyze these claims in the context of math and reading achievement during early primary school. We reach two conclusions. First, white boys outperform white girls in math across virtually the entire distribution by the end of third grade; there is less evidence for other races. Second, boys lag behind girls in reading at the start of kindergarten and at the end of third grade across all races, but only the lowest-achieving boys lose ground over the first 4 years; boys gain ground between first and third grades.

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Bibliographic Info

Article provided by Elsevier in its journal Economics of Education Review.

Volume (Year): 28 (2009)
Issue (Month): 1 (February)
Pages: 38-48

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Handle: RePEc:eee:ecoedu:v:28:y:2009:i:1:p:38-48

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

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Keywords: Gender Boy crisis Student achievement Human capital;

References

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  1. Sergio Firpo, 2004. "Efficient Semiparametric Estimation of Quantile Treatment Effects," Econometric Society 2004 North American Summer Meetings 605, Econometric Society.
  2. Thomas S. Dee, 2005. "A Teacher Like Me: Does Race, Ethnicity, or Gender Matter?," American Economic Review, American Economic Association, vol. 95(2), pages 158-165, May.
  3. Marianne Bitler & Jonah Gelbach & Hilary Hoynes, 2003. "What Mean Impacts Miss: Distributional Effects of Welfare Reform Experiments," NBER Working Papers 10121, National Bureau of Economic Research, Inc.
  4. Roland G. Fryer, Jr. & Steven D. Levitt, 2002. "Understanding the Black-White Test Score Gap in the First Two Years of School," NBER Working Papers 8975, National Bureau of Economic Research, Inc.
  5. Roland G. Fryer & Steven D. Levitt, 2005. "The Black-White Test Score Gap Through Third Grade," NBER Working Papers 11049, National Bureau of Economic Research, Inc.
  6. Thomas S. Dee, 2005. "Teachers and the Gender Gaps in Student Achievement," NBER Working Papers 11660, National Bureau of Economic Research, Inc.
  7. Heckman, James J & Smith, Jeffrey, 1997. "Making the Most Out of Programme Evaluations and Social Experiments: Accounting for Heterogeneity in Programme Impacts," Review of Economic Studies, Wiley Blackwell, Wiley Blackwell, vol. 64(4), pages 487-535, October.
  8. Gordon B. Dahl & Enrico Moretti, 2008. "The Demand for Sons," Review of Economic Studies, Oxford University Press, vol. 75(4), pages 1085-1120.
  9. Abadie A., 2002. "Bootstrap Tests for Distributional Treatment Effects in Instrumental Variable Models," Journal of the American Statistical Association, American Statistical Association, American Statistical Association, vol. 97, pages 284-292, March.
  10. Jeff Grogger & Eric Eide, 1995. "Changes in College Skills and the Rise in the College Wage Premium," Journal of Human Resources, University of Wisconsin Press, vol. 30(2), pages 280-310.
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Citations

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Cited by:
  1. Aedin Doris & Donal O'Neill & Olive Sweetman, 2012. "Gender, Single-Sex Schooling and Maths Achievement," Economics, Finance and Accounting Department Working Paper Series, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth n224-12.pdf, Department of Economics, Finance and Accounting, National University of Ireland - Maynooth.
  2. Golsteyn B.H.H. & Schils T., 2014. "Gender gaps in primary school achievement. A decomposition into endowments and returns to IQ and non-cognitive factors," Research Memorandum 017, Maastricht University, Graduate School of Business and Economics (GSBE).
  3. Coneus, Katja & Laucht, Manfred & Reuß, Karsten, 2010. "The role of parental investments for cognitive and noncognitive skill formation: Evidence for the first 11 years of life," ZEW Discussion Papers 10-028, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  4. Gilpin, Gregory A., 2012. "Teacher salaries and teacher aptitude: An analysis using quantile regressions," Economics of Education Review, Elsevier, Elsevier, vol. 31(3), pages 15-29.

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