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countries. In particular, the Programme for International Student Assessment (PISA) conducted by the OECD over the past ten … across regions within the same country are crucial determinants in understanding gender differences in PISA 2009 test scores …
Persistent link: https://www.econbiz.de/10009646293
This paper uses two large multi-country datasets on educational scores – PISA and TIMSS – to examine the performance of …
Persistent link: https://www.econbiz.de/10009325445
outcomes. With this aim, we use PISA microdata for 10 middle income and 2 high income countries and we apply decomposition …
Persistent link: https://www.econbiz.de/10010884354
International Student Assessment (PISA) survey on students’ literacy levels. A competitive learning approach has a positive …
Persistent link: https://www.econbiz.de/10005233797
Study (TIMSS), the Programme of International Student Assessment (PISA), the Programme of International Reading Literacy …
Persistent link: https://www.econbiz.de/10005700954
), the Programme of International Student Assessment (PISA) and the Programme of International Reading Literacy Study (PIRLS …
Persistent link: https://www.econbiz.de/10005703031
Using longitudinal data for Canada, we analyze the incidence and wage returns to employer supported course enrollment for men and women. Availability of confidential data, along with a relatively rich set of observable covariates, lead us to the estimation of difference-in-differences matching...
Persistent link: https://www.econbiz.de/10011268878
first time in the related literature, a semiparametric propensity score matching approach combined with difference …
Persistent link: https://www.econbiz.de/10005762351
The literature estimating returns to education has often utilized spousal education and parental education as instrument variables (IV). However, due to usual survey designs, both IVs are available only for the individuals whose spouse or parents are present in the same household. The IV...
Persistent link: https://www.econbiz.de/10010705562
We derive bounds for the average of math and language scores of elementary school students in Italy correcting for pervasive score manipulation. Information on the fraction of manipulated data is retrieved from a natural experiment that randomly assigns external monitors to schools. We show how...
Persistent link: https://www.econbiz.de/10010959706