Gender, Income and Numeracy Test Scores

Working Paper: CEPR ID: DP16895

Authors: Michelle Rendall; Jaai Parasnis; Molly Paterson

Abstract: We study the interrelationship between socioeconomic (SES) gaps based on household income, parental education, and labor force status and the gender gap in numeracy. A composite measure of SES confirms that boys from lower SES are more disadvantaged. However, disentangling the three aspects, only girls from lower-income households are doubly disadvantaged by grade 9. At the top of the income distribution, the gender gap is driven by an advantage for boys with stay-at-home mothers or lower education than fathers. In contrast, a mother’s higher education and labor force status are associated with higher test scores for girls across the entire income distribution.

Keywords: Australia; Parental Education; Household Income; Numeracy; Gender Decomposition; Role Models; Stereotypes

JEL Codes: I20; I24; J16


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
early-life socioeconomic status (SES) (I14)numeracy test scores (C12)
lower SES (I24)numeracy test scores (for girls) (C12)
gender (J16)numeracy scores (C12)
lower household income (G59)numeracy test scores (for girls) (C12)
mothers' education (I24)gender gaps in numeracy scores (I24)
labor force participation of mothers (J22)gender gaps in numeracy scores (I24)
early life circumstances (J79)achievement into adolescence (I24)

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