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BACKGROUND: Educational mobility at the macro-level is a common measure of social inequality. Nonetheless, the correlates of mobility of education at the individual level are less well studied. We evaluated whether educational mobility of the second generation (compared to the first generation level) predicts differences in parenting practices of the second generation and school achievement and intelligence in the third generation. METHODS: Data from a population-based cohort of children in the Netherlands (N = 3547; 49.4% boys) were analyzed. Maternal, grandparental education and family routines, a parenting practice, were reported by the mother. Child school achievement at the end of primary school (â¼12 years, with the national Dutch academic test score) and child intelligence (â¼6 and 13 years) were measured in a standardized manner. Also, a child genome-wide polygenic score of academic attainment was calculated. To estimate the effect of educational mobility, inverse probability-weighted linear models and Diagonal Reference Models (DRM) were used. RESULTS: Upward maternal educational mobility was associated with better offspring school achievement, higher intelligence, and more family routines if compared to offspring of mothers with no upward mobility. However, mothers did not implement the same level of family routines as similarly educated mothers and grandfathers who already had achieved this educational level. Likewise, children of mothers with upward educational mobility had lower school achievement and intelligence than children of similarly educated mothers with no mobility. Child's genetic potential for education followed a similar association pattern with higher potential in children of upward mobile mothers. CONCLUSION: Policymakers might overlook social inequalities when focused on parental socioeconomic status. Grandparental socioeconomic status, which independently predicts child school achievement, intelligence, and parental family routines, should also be assessed. The child's genetic endowment reflects the propensity for education across generations that partly underlies mobility and some of its effect on the offspring.
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Mães , Poder Familiar , Criança , Masculino , Feminino , Humanos , Escolaridade , Inteligência , Instituições AcadêmicasRESUMO
This paper provides new evidence on inequalities in resources for children age 3-4 by parental education using harmonized data from six advanced industrialized countries-United States, United Kingdom, France, Germany, Netherlands, and Japan-that represent different social welfare regime types. We analyze inequalities in two types of resources for young children-family income, and center-based child care-applying two alternative measures of parental education-highest parental education, and maternal education. We hypothesize that inequalities in resources by parental education will be less pronounced in countries where social policies are designed to be more equalizing. The results provide partial support for this hypothesis: the influence of parental education on resources for children does vary by the social policy context, although not in all cases. We also find that the measurement of parental education matters: income disparities are smaller under a maternal-only definition whereas child care disparities are larger. Moreover, the degree of divergence between the two sets of estimates differs across countries. We provide some of the first systematic evidence about how resources for young children vary depending on parents' education and the extent to which such inequalities are buffered by social policies. We find that while early inequalities are a fact of life in all six countries, the extent of those inequalities varies considerably. Moreover, the results suggest that social policy plays a role in moderating the influence of parental education on resources for children.
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This study examines family expenditures and how they respond to the provision of family cash transfers, particularly among higher-income families. Naming cash benefits with explicit reference to 'families' or 'children' can nudge households into labelling the extra cash for financial investments in children. Labelling has mainly been assessed among lower-income families. Yet if also higher-income families engage in labelling, there could be unintended consequences on the often stark disparities in child-related investments across the socio-economic divide. Drawing on 2006-2019 data from Household, Income, and Labour Dynamics in Australia (HILDA), the study relies on reforms to Australia's Family Tax Benefit to 'reveal' expenditure responses among higher-income families via an instrumented difference-in-differences design. Higher-income households seem to earmark a family cash transfer for children's clothing but not for children's education fees, while they also assign money to adult clothing. Lower-income households, differently, seem to engage in more clear-cut, child-oriented labelling, at the expense of adult-assignable goods. Family cash transfers can nudge households into spending more money on their children across the socioeconomic divide, but not necessarily homogeneously so. Providing more well-off families with modest transfers might thus have limited perverse effects on inequality in family expenditures.
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Características da Família , Gastos em Saúde , Adulto , Humanos , Renda , Pobreza , FamíliaRESUMO
Socioeconomic inequalities in childhood Body Mass Index (BMI) are becoming increasingly more pronounced across the world. Although countries differ in the direction and strength of these inequalities, cross-national comparative research on this topic is rare. This paper draws on harmonized longitudinal cohort data from four wealthy countries-Germany, the Netherlands, the United Kingdom (UK), and the United States (US)-to 1) map cross-country differences in the magnitude of socioeconomic inequalities in childhood BMI, and 2) to examine cross-country differences in the role of three energy-balance-related behaviors-physical activity, screen time, and breakfast consumption-in explaining these inequalities. Children were aged 5-7 at our first timepoint and were followed up at age 8-11. We used data from the German National Educational Panel Study, the Dutch Generation R study, the UK Millennium Cohort Study and the US Early Childhood Longitudinal-Kindergarten Study. All countries revealed significant inequalities in childhood BMI. The US stood out in having the largest inequalities. Overall, inequalities between children with low versus medium educated parents were smaller than those between children with high versus medium educated parents. The role of energy-balance-related behaviors in explaining inequalities in BMI was surprisingly consistent. Across countries, physical activity did not, while screen time and breakfast consumption did play a role. The only exception was that breakfast consumption did not play a role in the US. Cross-country differences emerged in the relative contribution of each behavior in explaining inequalities in BMI: Breakfast consumption was most important in the UK, screen time explained most in Germany and the US, and breakfast consumption and screen time were equally important in the Netherlands. Our findings suggest that what constitutes the most effective policy intervention differs across countries and that these should target both children from medium as well as low educated families.
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Índice de Massa Corporal , Criança , Humanos , Pré-Escolar , Países Baixos , Estudos de Coortes , Fatores Socioeconômicos , Reino Unido , AlemanhaRESUMO
Numerous studies have documented a strong intergenerational transmission of educational attainment. In explaining this transmission, separate fields of research have studied separate mechanisms. To obtain a more complete understanding, the current study integrates insights from the fields of behavioural sciences and genetics and examines the extent to which paternal involvement and children's polygenic score (PGS) are unique underlying mechanisms, correlate with each other, and/or act as important confounders in the intergenerational transmission of fathers' educational attainment. To answer our research questions, we use rich data from The National Longitudinal Study of Adolescent to Adult Health (n = 4,579). Firstly, results from our mediation analyses showed a significant association between fathers' educational attainment and children's educational attainment (0.303). This association is for about 4 per cent accounted for by paternal involvement, whereas a much larger share, 21 per cent, is accounted for by children's education PGS. Secondly, our results showed that these genetic and behavioural factors are significantly correlated with each other (correlations between 0.06 and 0.09). Thirdly, we found support for genetic confounding, as adding children's education PGS to the model reduced the association between paternal involvement and children's educational attainment by 11 per cent. Fourthly, evidence for social confounding was almost negligible (the association between child's education PGS and educational attainment was only reduced by half of a per cent). Our findings highlight the importance of integrating insights and data from multiple disciplines in understanding the mechanisms underlying the intergenerational transmission of inequality, as our study reveals that behavioural and genetic influences overlap, correlate, and confound each other as mechanisms underlying this transmission.
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Sucesso Acadêmico , Pai , Criança , Adulto , Adolescente , Masculino , Humanos , Estudos Longitudinais , Escolaridade , Herança MultifatorialRESUMO
BACKGROUND: Most studies on associations between parity and mortality focus on women, and find a negative correlation or U-shaped pattern. If and why having children is associated with mortality among men is less clear. Our objective was to improve understanding of the association between men's parity and mortality, and to investigate mechanisms potentially underlying this association. METHODS: Analysis of baseline data (1991) from a prospective cohort study (the GLOBE study) with almost 17 years mortality follow-up among 4965 men, aged ≥45 years. Cox proportional hazard hierarchical regression models were used to link parity to mortality and to explore the role of socio-economic position (SEP), health behaviours and partner status. RESULTS: Fathers of two or three children [hazard rate ratio (HR) 0.85; 95% confidence interval (95% CI) 0.74-0.99] and especially fathers of four or more children (HR 0.81; 95% CI 0.69-0.95) had lower mortality risks compared with childless men. However, this association attenuated to non-significance after adding SEP, health behaviours and partner status to the model. CONCLUSIONS: Our findings suggest that childless men have higher mortality risks in comparison with men who have fathered two or more children.
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Saúde do Homem/estatística & dados numéricos , Mortalidade , Paridade , Idoso , Consumo de Bebidas Alcoólicas/epidemiologia , Feminino , Disparidades nos Níveis de Saúde , Inquéritos Epidemiológicos , Humanos , Masculino , Pessoa de Meia-Idade , Países Baixos , Estudos Prospectivos , Fumar/epidemiologia , Fatores SocioeconômicosRESUMO
Nearly every European Country has experienced some increase in nonmarital childbearing, largely due to increasing births within cohabitation. Relatively few studies in Europe, however, investigate the educational gradient of childbearing within cohabitation or how it changed over time. Using retrospective union and fertility histories, we employ competing risk hazard models to examine the educational gradient of childbearing in cohabitation in eight countries across europe. In all countries studied, birth risks within cohabitation demonstrated a negative educational gradient. When directly comparing cohabiting fertility with marital fertility, the negative educational gradient persists in all countries except Italy, although differences were not significant in Austria, France, and West Germany. To explain these findings, we present an alternative explanation for the increase in childbearing within cohabitation that goes beyond the explanation of the Second Demographic Transition and provides a new interpretation of the underlying mechanisms that may influence childbearing within cohabitation.