Determinants of Academic Attainment in the US: a Quantile regression analysis of test scores

Getinet Haile and Anh Ngoc Nguyen ()
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Anh Ngoc Nguyen: Development and Policies Research Center, Vietnam
Authors registered in the RePEc Author Service: Anh Quynh Nguyen and Anh Ngoc Nguyen ()

No 7, Working Papers from Development and Policies Research Center (DEPOCEN), Vietnam

Abstract: We investigate the determinants of high school students academic attainment in maths, reading and science; focusing particularly on possible effects that ethnicity and family background may have on attainment. Using data from the NELS2000 and employing quantile regression techniques, we find two important results. First, the gaps in maths, reading and science test scores among ethnic groups vary across the conditional quantiles of the measured test scores. Specifically, Blacks and Hispanics tend to fare worse in their attainment at higher quantiles, particularly in science. Secondly, the effects of family background factors such as parental education and fathers occupation also vary across quantiles of the test score distribution. The implication of these findings is that the commonly made broad distinction on whether one is from a privileged/disadvantaged ethnic and/or family background may not tell the whole story that the academic attainment discourse has to note. Interventions aimed at closing the gap in attainment between Whites and minorities may need to target higher levels of the test score distribution.

Keywords: Educational attainment; Quantile regression; US (search for similar items in EconPapers)
JEL-codes: I20 I21 (search for similar items in EconPapers)
Pages: 24 pages
Date: 2007
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Citations: View citations in EconPapers (4)

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Working Paper: Determinants of Academic Attainment in the US: a Quantile regression analysis of test scores (2007)
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