Publication Information
We use data on children at ages 8, 12 and 15 from Young Lives, a cohort study of 12,000 children across Ethiopia, India (Andhra Pradesh), Peru and Vietnam, to document the presence of a gender gap across a wide variety of indicators, including nutrition, education, aspirations, subjective well-being and psychosocial competencies. First, we find that there is considerable heterogeneity across countries, ages and indicators in whether there is any gender bias and whether it is in favour of boys or girls. Second, we find strong evidence of an ‘institutionalised’ gender bias against girls in education in India and, to an extent, Ethiopia; the bias appears to emerge in the educational aspirations of parents for their children at age 8, is transmitted to the aspirations of children at 12 and is transformed into gender gaps in test scores related to cognitive achievement at age 15, despite relatively high enrolment levels. This bias is stronger in rural than in urban India; in rural Peru there is some evidence of a pro-male bias in education at age 12 and 15. We also observe lower self-efficacy (as measured by agency) for girls in Ethiopia and India at age 15. Similar patterns exist in Vietnam but in the opposite direction – in favour of girls rather than boys. Evidence in other studies suggests that poorer non-cognitive skills lead to poorer performance in the labour market, as well as lower human capital, which causes continuing bias in outcomes for these groups.
Keywords: Nutrition; Malnutrition; Cognitive skills; Gender
We use data on children at ages 8, 12 and 15 from Young Lives, a cohort study of 12,000 children across Ethiopia, India (Andhra Pradesh), Peru and Vietnam, to document the presence of a gender gap across a wide variety of indicators, including nutrition, education, aspirations, subjective well-being and psychosocial competencies. First, we find that there is considerable heterogeneity across countries, ages and indicators in whether there is any gender bias and whether it is in favour of boys or girls. Second, we find strong evidence of an ‘institutionalised’ gender bias against girls in education in India and, to an extent, Ethiopia; the bias appears to emerge in the educational aspirations of parents for their children at age 8, is transmitted to the aspirations of children at 12 and is transformed into gender gaps in test scores related to cognitive achievement at age 15, despite relatively high enrolment levels. This bias is stronger in rural than in urban India; in rural Peru there is some evidence of a pro-male bias in education at age 12 and 15. We also observe lower self-efficacy (as measured by agency) for girls in Ethiopia and India at age 15. Similar patterns exist in Vietnam but in the opposite direction – in favour of girls rather than boys. Evidence in other studies suggests that poorer non-cognitive skills lead to poorer performance in the labour market, as well as lower human capital, which causes continuing bias in outcomes for these groups.
Keywords: Nutrition; Malnutrition; Cognitive skills; Gender