Socioeconomic gradients in children's cognitive skills: Are cross-country comparisons robust to who reports family background?
AbstractThe international surveys of pupil achievement â€“ PISA, TIMSS, and PIRLS â€“ have been widely used to compare socioeconomic gradients in childrenâ€™s cognitive abilities across countries. Socioeconomic status is typically measured drawing on childrenâ€™s reports of family or home characteristics rather than information provided by their parents. There is a well established literature based on other survey sources on the measurement error that may result from child reports. But there has been very little work on the implications for the estimation of socioeconomic gradients in test scores in the international surveys, and especially their variation across countries. We investigate this issue drawing on data from PISA and PIRLS, focusing on three socioeconomic indicators for which both child and parental reports are present for some countries: fatherâ€™s occupation, parental education, and the number of books in the family home. Our results suggest that childrenâ€™s reports of their fatherâ€™s occupation provide a reliable basis on which to base comparisons across countries in socioeconomic gradients in reading test scores. The same is not true, however, for childrenâ€™s reports of the number of books in the home â€“ a measure commonly used â€“ while results for parental education are rather mixed.
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Bibliographic InfoPaper provided by Department of Quantitative Social Science - Institute of Education, University of London in its series DoQSS Working Papers with number 12-06.
Date of creation: 09 Oct 2012
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Educational inequality; social mobility; measurement error; PISA; PIRLS;
Find related papers by JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- I24 - Health, Education, and Welfare - - Education - - - Education and Inequality
This paper has been announced in the following NEP Reports:
- NEP-ALL-2012-10-27 (All new papers)
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