Abstract:This paper investigates the effects of primary school choices on cognitive and non-cognitive development in children using data from the Longitudinal Study of Australian Children (LSAC). We militate against the problems associated with individual unobserved heterogeneity by exploiting both the richness of LSAC data and contemporary econometric methods. We find that sending children to Catholic or independent primary schools has no significant effect on their cognitive and non-cognitive outcomes. We now have ev… Show more
“…Raw gender test score gaps at means (estimated from model 1, see the first row of each subject panel in Table 2) show the well-known gender gaps in both maths and reading skills as observed in the literature: male students outperform female students in maths but lag behind with respect to reading (Husain and Millimet 2009;Fryer and Levitt 2010;Nghiem et al 2015;Justman and Méndez 2016). Furthermore, while the gender test score gap in reading is already observed in all grades, the (reverse) gender gap in numeracy only presents in grades 5 and 7.…”
Section: Estimates Of Gender Test Score Gap At Means Of Test Score DImentioning
confidence: 63%
“…This finding is consistent with our previously observed pattern of girls having higher pre-school cognitive skills. Estimates of the above gender test score gaps also highlight the importance of controlling for students' pre-school cognitive skills, which is the summary of genetic and early childhood investment in the formation of human capital, in the student development as shown in the literature (Todd and Wolpin 2007;Bernal 2008;Cunha et al 2010;Lai 2010;Elder and Jepsen 2014;Fortin et al 2015;Nghiem et al 2015). As previous studies in this literature were unable to control for pre-school cognitive skills-due to the unavailability of such measures in the researchers' data sets-this is a novel empirical result.…”
Section: Or Third Grade Testsmentioning
confidence: 98%
“…Australian studies have documented gender differences in academic outcomes at all educational levels. For example, Nghiem et al (2015) used the first four waves of the LSAC data to report that male students outperform their female counterparts in grade 3 and 5 numeracy. In contrast, female students outperform in grade 3 writing and grade 5 reading and grammar.…”
This paper documents the patterns and examines the factors contributing to a gender gap in educational achievements in early seventh grade of schooling using a recent and nationally representative panel of Australian children. Regression results indicate that females excel at non-numeracy subjects at later grades whereas males outperform females in numeracy in all grades, whether at the mean or along the distribution of the test score. Our results also reveal a widening gender test score gap in numeracy as students advance their schooling. Regression and decomposition results also highlight the importance of controlling for pre-school cognitive skills in examining the gender test score gap.JEL Classification: I20, J16
“…Raw gender test score gaps at means (estimated from model 1, see the first row of each subject panel in Table 2) show the well-known gender gaps in both maths and reading skills as observed in the literature: male students outperform female students in maths but lag behind with respect to reading (Husain and Millimet 2009;Fryer and Levitt 2010;Nghiem et al 2015;Justman and Méndez 2016). Furthermore, while the gender test score gap in reading is already observed in all grades, the (reverse) gender gap in numeracy only presents in grades 5 and 7.…”
Section: Estimates Of Gender Test Score Gap At Means Of Test Score DImentioning
confidence: 63%
“…This finding is consistent with our previously observed pattern of girls having higher pre-school cognitive skills. Estimates of the above gender test score gaps also highlight the importance of controlling for students' pre-school cognitive skills, which is the summary of genetic and early childhood investment in the formation of human capital, in the student development as shown in the literature (Todd and Wolpin 2007;Bernal 2008;Cunha et al 2010;Lai 2010;Elder and Jepsen 2014;Fortin et al 2015;Nghiem et al 2015). As previous studies in this literature were unable to control for pre-school cognitive skills-due to the unavailability of such measures in the researchers' data sets-this is a novel empirical result.…”
Section: Or Third Grade Testsmentioning
confidence: 98%
“…Australian studies have documented gender differences in academic outcomes at all educational levels. For example, Nghiem et al (2015) used the first four waves of the LSAC data to report that male students outperform their female counterparts in grade 3 and 5 numeracy. In contrast, female students outperform in grade 3 writing and grade 5 reading and grammar.…”
This paper documents the patterns and examines the factors contributing to a gender gap in educational achievements in early seventh grade of schooling using a recent and nationally representative panel of Australian children. Regression results indicate that females excel at non-numeracy subjects at later grades whereas males outperform females in numeracy in all grades, whether at the mean or along the distribution of the test score. Our results also reveal a widening gender test score gap in numeracy as students advance their schooling. Regression and decomposition results also highlight the importance of controlling for pre-school cognitive skills in examining the gender test score gap.JEL Classification: I20, J16
“…Year 5, Nghiem, Nguyen, Khanam, and Connelly (2015) found that the higher scaled scores of students from independent and Catholic schools in Year 5 NAPLAN performance disappear with a comprehensive set of controls that includes prior achievement (Year 3 NAPLAN performance). Unexpectedly, the effects for attending a Catholic school (relative to a government school) were negative and statistically significant for spelling and grammar (Nghiem et al, 2015, p. 60).…”
This article examines school sector differences in student performance Years 3, 5, and 7 in numeracy, reading, writing, spelling and grammar using data from the Longitudinal Study of Australian Children and the national testing program (NAPLAN). At each of the 3 Year levels, there are sizable school sector differences with students from independent schools exhibiting the substantially higher mean scores than Catholic and government school students. However, school sector differences in Years 3 and 5 largely disappear when taking into account students' socioeconomic position and especially prior ability. In Year 7, there is evidence of value added effects for attending an independent school in numeracy, reading and writing but the effect sizes are quite small (around 0.10). Fixed effects analyses confirm small significant value-added effects for attending independent schools for numeracy and reading. 1
“…Evidence from different datasets, countries, measures of achievement and levels of school (e.g., primary, secondary) have shown that in most instances, any private school academic advantage disappears once the socioeconomic background of students is controlled for. In other words, private schools often have superior outcomes than public schools, but these outcomes are explained by the characteristics of the students that they enrol, not the schools themselves (Lubienski & Lubienski, 2014;Nghiem, Nguyen, Khanam, & Connelly, 2015;OECD, 2011).…”
We examine how students’ perspectives of their learning environments vary between private and public schools in Australia. Previous research has shown that educational outcomes do not vary by school sector in most countries after controlling for student social background. Little is known, however, about the ways in which different students’ educational experiences vary across sectors. Australia is a good case study for examining this question, because it has one of the largest private school sectors in the world. We used a large and nationally representative dataset to compare sector differences across five measures of learning environments while accounting for the average socioeconomic composition of the school. Very few differences large enough to be considered educationally substantive were found between sectors. On two measures, however, student perspectives varied substantially within sectors and across school socioeconomic contexts. Overall, classroom disciplinary climate varied the most across school sectors and socioeconomic contexts, and teacher scaffolding and structuring strategies varied the least.
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