2012
DOI: 10.1111/ecca.12010
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Inequality in Pupils' Test Scores: How Much do Family, Sibling Type and Neighbourhood Matter?

Abstract: We explore the relative influence of family and neighbourhood on pupils' test scores and how this varies by sibling type. Using English register data we find that the neighbourhood explains at most 10–15% of the variance in pupils' test scores, whereas the variance explained by family is between 44% and 54% at the end of primary school and between 47% and 61% at the end of compulsory schooling. The family influence is significantly higher for identical twins. It is also higher for dizygotic twins than for non‐… Show more

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Cited by 58 publications
(63 citation statements)
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“…Lindahl (2011) concludes that family background is substantially more important than the neighborhood. This result is confirmed by Nicoletti and Rabe (2013) who also apply multilevel models to estimate the influence of family and neighborhood factors on pupil's test scores in the UK. At age 16, they report magnitudes of sibling and neighbor correlations of 0.61 and 0.14, respectively.…”
supporting
confidence: 53%
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“…Lindahl (2011) concludes that family background is substantially more important than the neighborhood. This result is confirmed by Nicoletti and Rabe (2013) who also apply multilevel models to estimate the influence of family and neighborhood factors on pupil's test scores in the UK. At age 16, they report magnitudes of sibling and neighbor correlations of 0.61 and 0.14, respectively.…”
supporting
confidence: 53%
“…They provide a descriptive summary measure of how much of the outcome of neighbors can be attributed to the shared neighborhood. Solon et al (2000), Page and Solon (2003), Raaum et al (2006), Lindahl (2011) and Nicoletti and Rabe (2013) provide evidence for the US, Norway, Sweden and the UK, finding only weak neighbor correlations compared to sibling correlations for monetary and education outcomes.…”
mentioning
confidence: 95%
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“…Only a few studies provide an estimate of the additive neighborhood contribution to a specified outcome. A study by Datcher (1982) put the value at 25 percent attributable to the neighborhood, but a study by Nicoletti and Rabe (2012) attributed about 10-15 percent of the difference in educational outcomes to neighborhood effects. Studying the likelihood of mobility, Clark and Ledwith (2007) suggest that less than 5 percent of the explanation for the likelihood of moving can be attributed to neighborhood characteristics.…”
Section: Neighborhoods and Their Rolementioning
confidence: 99%
“…Among social interactions, siblings'ones are particularly interesting because, di¤erently from other peer interactions, they happen within the household and they are more intense and lasting. In fact, siblings have often been found to be the most in ‡uential peers (Lindahl, 2011, Nicoletti and Rabe, 2013and Dahl et al, 2014. This paper analyzes sibling e¤ects in the decision to form a new household, i.e., the impact of having a sibling who forms a new household in the same time period.…”
Section: Introductionmentioning
confidence: 99%