scholarly journals Class, Status, and Education: The Influence of Parental Resources on IEO in Europe, 1893-1987

2015 ◽  
Vol 5 (1) ◽  
pp. 35-60 ◽  
Author(s):  
Cinzia Meraviglia ◽  
Maarten L. Buis

Abstract:There is a long tradition of studying the influence of parental background on educational attainment of the offspring. Recently the emphasis in this tradition has shifted to the question of what parental background is. In particular, what contributes to social background, for example parental occupational status, parental occupational class, and/or parental education? Moreover, who contributes to parental background, the mother, the father, or both? In this article we asked the question whether these different components of parental background are stable across time and across countries, or are some components more important in some countries or periods than in other countries or periods. We were able to reject the hypothesis that the contributions of the different components were constant across 29 European countries. In most of these countries we were also able to reject that these contributions were constant over time.

2020 ◽  
Author(s):  
Mollie Bourne ◽  
Bastian Andreas Betthäuser ◽  
Erzsebet Bukodi

This data note presents and discussed descriptive statistics of the key variables on individuals’ social origin, cognitive ability and educational attainment that have been constructed based on the information contained in the Longitudinal Study of Young People in England (LSYPE). The main sets of variables presented are (1) measures of respondents’ cognitive ability in childhood, (2) parental education, class, status and income, and (3) respondents’ highest qualification and measures indicating whether respondents have crossed different educational qualification thresholds.


2008 ◽  
Vol 11 (12) ◽  
pp. 1256-1266 ◽  
Author(s):  
Albert-Jan R Roskam ◽  
Anton E Kunst

AbstractObjectivesTo assess which socio-economic indicator best predicts overweight in the European Union: educational attainment, occupational class or household income.SettingThe prevalence of overweight is strongly related to socio-economic position. The relative importance of different socio-economic dimensions is uncertain, and might vary between countries.Design and subjectsCross-sectional self-report data of the European Community Household Panel were obtained from nine countries (n 52 855; age 25–64 years). Uni- and multivariate regression analyses were employed to predict overweight (BMI ≥ 25 kg/m2) in relationship to socio-economic indicators. Occupational class was measured using the new European Socioeconomic Classification.ResultsLarge socio-economic differences in overweight were observed in all countries, especially for women. For both sexes, a low educational attainment was the strongest predictor of overweight. After controlling for education, overweight was negatively related to household income in women, but positively in men. Similar patterns were found for occupational class. For women, but not for men, educational inequalities in overweight were generally greater in Southern European countries. A similar pattern of inequalities in overweight was observed for all ages between 25 and 64 years.ConclusionsAcross Europe, overweight was more strongly and more consistently related to educational attainment than to occupational class or household income. People with lower educational attainment should be a specific target group for programmes and policies that aim to prevent overweight.


2019 ◽  
pp. 13-47 ◽  
Author(s):  
Johan P. Mackenbach

Chapter 2 (‘Patterns of health inequalities’) sets the scene for the rest of the book, by explaining the measurement of health inequalities and by providing a profusely illustrated overview of inequalities in morbidity and mortality by education and occupational class in 30 European countries. It shows that health inequalities are a generalized phenomenon affecting young and old, men and women, and all aspects of health, but with important differences by age, gender, and type of health problem. It shows that health inequalities are present in all European countries, but with striking variations between countries, suggesting that there is great scope for reducing health inequalities. It also shows that although health inequalities are persistent, they are also highly dynamic, with relative inequalities often increasing and absolute inequalities sometimes declining over time. This chapter includes a comparison with other high-income countries (United States, Canada, Australia, New Zealand, Japan, and South Korea).


2020 ◽  
Author(s):  
Bastian Andreas Betthäuser ◽  
Mollie Bourne ◽  
Erzsebet Bukodi

This data note presents and discussed descriptive statistics of the key variables on individuals’ social origin, cognitive ability and educational attainment that have been constructed based on the information contained in the 1970 British Cohort Study (BCS70). The main sets of variables presented are (1) measures of respondents’ cognitive ability in childhood, (2) parental education, class, status and income, and (3) respondents’ highest qualification and measures indicating whether respondents have crossed different educational qualification thresholds.


2021 ◽  
pp. 003804072110417
Author(s):  
Eric Grodsky ◽  
Catherine Doren ◽  
Koit Hung ◽  
Chandra Muller ◽  
John Robert Warren

We ask whether patterns of racial ethnic and socioeconomic stratification in educational attainment are amplified or attenuated when we take a longer view of educational careers. We propose a model of staged advantage to understand how educational inequalities evolve over the life course. Distinct from cumulative advantage, staged advantage asserts that inequalities in education ebb and flow over the life course as the population at risk of making each educational transition changes along with the constraints they confront in seeking more education. Results based on data from the 2014 follow up of the sophomore cohort of High School and Beyond offer partial support for our hypotheses. The educational attainment process was far from over for our respondents as they aged through their 30s and 40s: More than 6 of 10 continued their formal training during this period, and 4 of 10 earned an additional credential. Patterns of educational stratification at midlife became more pronounced in some ways as women pulled further ahead of men in their educational attainments and parental education (but not income), and high school academic achievement continued to shape educational trajectories at the bachelor’s degree level and beyond. However, African Americans gained on whites during this life phase through continued formal (largely academic) training and slightly greater conditional probabilities of graduate or professional degree attainment; social background fails to predict earning an associate’s degree. These results, showing educational changes and transitions far into adulthood, have implications for our understanding of the complex role of education in stratification processes.


2018 ◽  
Author(s):  
Seongsoo Choi ◽  
Riley Taiji ◽  
Manting Chen ◽  
Christiaan Willem Simon Monden

Children with many siblings have lower average educational attainment compared to children raised in smaller families. This disadvantage by sibship size has been observed across many different countries. We know remarkable little, however, about how sibship size disadvantage has changed over time within countries and how such trends vary between countries. Using comparative data from 114 surveys from 26 low-fertility countries, we find an increase of the sibsize disadvantage over time in the majority of countries: between the 1931-40 birth cohort and the 1971-80 birth cohort, 16 out of 26 countries showed a statistically significant increase in the sibship size disadvantage in education, while only two countries – Australia and the UK – showed a statistically measurable reduction in the sibship size disadvantage. In many countries, growing differential fertility by parental education played a substantial role in the increasing disadvantage. We discuss possible explanations and implications of the increased disadvantages and the variation in trends and levels between regions and specific countries.


2020 ◽  
Author(s):  
Bastian Andreas Betthäuser ◽  
Mollie Bourne ◽  
Erzsebet Bukodi

This data note presents and discussed descriptive statistics of the key variables on individuals’ social origin, cognitive ability and educational attainment that have been constructed based on the information contained in the National Child Development Study (NCDS). The main sets of variables presented are (1) measures of respondents’ cognitive ability in childhood, (2) parental education, class, status and income, and (3) respondents’ highest qualification and measures indicating whether respondents have crossed different educational qualification thresholds.


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