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Gender stereotypes in the family

Nicoletti, Cheti, Sevilla, Almudena ORCID: 0000-0001-6143-5903 and Tonei, Valentina (2022) Gender stereotypes in the family. CEP Discussion Papers (1891). London School of Economics and Political Science. Centre for Economic Performance, London, UK.

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Abstract

We study whether and why parents have gender-stereotyped beliefs when they assess their child’s skills. Exploiting systematic differences in parental beliefs about a child’s skills and blindly graded standardized test scores, we find that parents overestimate boys’ skills more so than girls’ in mathematics (a male-stereotyped subject), whereas there are no gender differences for reading. Consistent with an information friction hypothesis, we find that the parental gender bias disappears for parents who are interviewed after receiving information on their child’s test scores. We further show that the parental gender bias in detriment of girls contributes to explain the widening of the gender gap in mathematical skills later in childhood, supporting the hypothesis that exposure to gender biases negatively influence girls’ ability to achieve their full potential.

Item Type: Monograph (Discussion Paper)
Official URL: https://cep.lse.ac.uk/_new/publications/discussion...
Additional Information: © 2022 The Authors
Divisions: Centre for Economic Performance
Social Policy
Subjects: H Social Sciences > HD Industries. Land use. Labor
H Social Sciences > HB Economic Theory
L Education > LB Theory and practice of education > LB1501 Primary Education
H Social Sciences > HQ The family. Marriage. Woman
JEL classification: J - Labor and Demographic Economics > J1 - Demographic Economics > J13 - Fertility; Family Planning; Child Care; Children; Youth
D - Microeconomics > D1 - Household Behavior and Family Economics > D13 - Household Production and Intrahousehold Allocation
C - Mathematical and Quantitative Methods > C2 - Econometric Methods: Single Equation Models; Single Variables > C23 - Models with Panel Data
C - Mathematical and Quantitative Methods > C2 - Econometric Methods: Single Equation Models; Single Variables > C20 - General
Date Deposited: 27 Jan 2023 12:18
Last Modified: 19 Dec 2024 00:23
URI: http://eprints.lse.ac.uk/id/eprint/118044

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