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Differences in teacher quality are commonly cited as a key determinant of the huge international student performance gaps. However, convincing evidence on this relationship is still lacking, in part because it is unclear how to measure teacher quality consistently across countries. We use unique international assessment data to investigate the role of teacher cognitive skills as one main dimension of teacher quality in explaining student outcomes. Our main identification strategy exploits exogenous variation in teacher cognitive skills attributable to international differences in relative wages of nonteacher public sector employees. Using student-level test score data, we find that teacher cognitive skills are an important determinant of international differences in student performance. Results are supported by fixed-effects estimation that uses within-country between-subject variation in teacher skills.

In this study, we investigated how empirical indicators of test-taking engagement can be defined, empirically validated, and used to describe group differences in the context of the Programme of International Assessment of Adult Competences (PIAAC). The approach was to distinguish between disengaged and engaged response behavior by means of response time thresholds. Constant thresholds of 3000 ms and 5000 ms were considered, as well as item-specific thresholds based on the visual inspection of (bimodal) response time distributions (VI method) and the proportion correct conditional on response time (P+>0% method). Overall, the validity checks comparing the proportion correct of engaged and disengaged response behavior by domain and by item showed that the P+>0% method performed slightly better than the VI method and the methods assuming constant thresholds. The results for Literacy and Numeracy by module revealed that there was an increase from Module 1 to Module 2 in the proportion of disengaged responses, suggesting a drop in test-taking engagement. The investigation of country differences in test-taking engagement by domain using the P+>0% method showed that the proportion of responses classified as disengaged was quite low. For Literacy, the proportion was well below 5% for the majority of countries; in Numeracy, the proportion was even smaller than 1% for almost all countries; while for Problem solving, the proportion of disengaged responses was more than 5% but usually well below 10%. There were significant differences in test-taking engagement between countries; the obtained effect sizes were small to medium. Population differences in test-taking engagement were highly correlated between the three domains, suggesting that test-taking engagement can be conceived as a consistent characteristic. Furthermore, there was a clear negative association between test-taking disengagement and proficiency in Literacy, Numeracy and Problem solving, respectively. Finally, subgroup differences for gender, age, educational attainment, and language proved to be insignificant or very small. Results suggest that males tend to be more disengaged, that disengagement increases with age in Problem solving, with lower educational attainment and when the test language is not the same as a testee's native language. Appended are: (1) Country differences in test-taking engagement; and (2) Subgroup differences in test-taking engagement.

This literature review on school choice analyses the impact of choice schemes on students and on school systems focusing on equity. Reviewing the evidence can be difficult, as the literature is often fragmented and inconclusive, and the political importance of this research often results in high-profile attention given to individual studies rather than systemically understanding collected from a larger empirical base (Berends, Cannata and Goldring, 2011). Different political groups use evidence that supports their positions in favour or against school choice, and their positions relative to school choice are largely based on their ideologies, rather than on empirical work and evidence of effectiveness (Levin and Belfield, 2004). This report steps away from the ideological debate and provides research-based evidence on the impact of choice on disadvantaged students and schools. As "only with data on the consequences of different plans for school choice will we be able to reach sensible judgements rooted in experience (Fuller and Elmore, 1996, p. 8)". It uses analysis and statements that are supported empirically and attempts to cover the widest possible scope of research, and provide responses to the key question of how to balance choice with equity considerations. (Contains 7 tables, 4 figures, 5 boxes and 13 footnotes.)

Countless policy makers and researchers have flocked to observe the education systems of Hong Kong, Shanghai and Singapore, which are among the top five performers in the PISA (Programme for International Student Assessment) 2009 reading assessment. Many visitors have been particularly impressed by the fact that these education systems succeed in embracing the social heterogeneity in their student populations that is intrinsic to large urban environments--something that many other education systems struggle to achieve. But large cities do not just pose social challenges to educators; they also offer important advantages for schools, such as a richer cultural environment, a more attractive workplace for teachers, more school choice, and better job prospects that can help to motivate students. New analyses from PISA highlight these advantages, showing that, in several countries, students from urban areas (defined here as cities with over a million inhabitants) do as well as students in PISA's top performing city-states, even if the different push and pull factors of urban environments play out very differently across countries. This paper reports that: (1) Large cities are generally educational assets: in most countries, performance improves dramatically when only the scores of students in urban areas are considered, although this is not the case in some countries, such as Belgium, Slovenia, the United Kingdom and the United States; and (2) When comparing the performance of students in large cities, students in Portugal and Israel perform as well as those in Singapore, and students in Poland perform as well as those in Hong Kong.

This paper reports that between 2008 and 2009, unemployment rates across OECD countries increased among people at all educational levels, but rose to especially troubling heights among people without an upper secondary education. In 2009, the average employment rate across OECD countries was much higher for individuals with a tertiary (i.e. higher) education--indicating a better match between the skills these people have and the skills the labour market required. Between 2008 and 2009, the earnings advantage for people with a tertiary education remained strong in OECD countries. In some countries, earnings inequality between people with a tertiary education and those without an upper secondary education widened even further.