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An Empirical Analysis of the Gender Gap in Mathematics

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  • Roland G. Fryer, Jr
  • Steven D. Levitt

Abstract

We document and analyze the emergence of a substantial gender gap in mathematics in the early years of schooling using a large, recent, and nationally representative panel of children in the United States. There are no mean differences between boys and girls upon entry to school, but girls lose more than two-tenths of a standard deviation relative to boys over the first six years of school. The ground lost by girls relative to boys is roughly half as large as the black-white test score gap that appears over these same ages. We document the presence of this gender math gap across every strata of society. We explore a wide range of possible explanations in the U.S. data, including less investment by girls in math, low parental expectations, and biased tests, but find little support for any of these theories. Moving to cross-country comparisons, we find that earlier results linking the gender gap in math to measures of gender equality are sensitive to the inclusion of Muslim countries, where in spite of women’s low status, there is little or no gender gap in math.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 15430.

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Date of creation: Oct 2009
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Publication status: published as Roland G. Fryer & Steven D. Levitt, 2010. "An Empirical Analysis of the Gender Gap in Mathematics," American Economic Journal: Applied Economics, American Economic Association, vol. 2(2), pages 210-40, April.
Handle: RePEc:nbr:nberwo:15430

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  1. Uri Gneezy & Muriel Niederle & Aldo Rustichini, 2003. "Performance In Competitive Environments: Gender Differences," The Quarterly Journal of Economics, MIT Press, vol. 118(3), pages 1049-1074, August.
  2. Fryer, Roland & List, John A. & Levitt, Steven D., 2008. "Exploring the Impact of Financial Incentives on Stereotype Threat: Evidence from a Pilot Study," Scholarly Articles 2961941, Harvard University Department of Economics.
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