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The economics behind the math gender gap: Colombian evidence on the role of sample selection

机译:数学性别差距背后的经济学:哥伦比亚的样本选择作用的证据

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The literature that has previously shown that boys outperform girls in math tests has failed to explain the underlying causes of the phenomenon. This math gender gap has been documented to vary across countries, and shown to grow as students advance through school. In this paper I suggest that these patterns may be explained by sample selection caused by gender differences in schooling's opportunity costs, which lead lower-achieving males to drop out. I present and test the implications of a labor supply model that examines the opportunity cost of school attendance and, thereby, the observed math gender gap. Using an exogenous policy change, the launch of a conditional cash transfer program in Colombia, I estimate that sample selection explains between 50 percent and 60 percent of the gap. Estimates of non-parametric bounds show that selection in the lower quantiles of the male distribution explains a significant portion of the gap.
机译:前面表明男孩在数学测试中更优于女孩的文献未能解释该现象的潜在原因。 这些数学性别差距被记录在各国各国各不相同,并且随着学生通过学校推进而展示增长。 在本文中,我建议这些模式可以通过学校教育机会成本的性别差异引起的样本选择来解释,这引发了较低的雄性脱落。 我展示并测试了劳动力供应模型的影响,这些劳动力供应模型检查了学校出勤率的机会成本,从而观察了数学性别差距。 使用外源政策变化,在哥伦比亚推出有条件的现金转移计划,我估计样品选择解释了50%至60%的差距。 非参数界的估计表明,较低量子分布的较低量子中的选择解释了间隙的重要部分。

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