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A new macroeconomic measure of human capital with strong empirical links to productivity
Botev, Jarmila; Égert, Balázs; Smidova, Zuzana; … - 2019
This paper calculates new measures of human capital. Contrary to the existing literature, they are based on realistic rates of return to education, which are allowed to vary substantially across countries and to some extent over time. The new measures perform well in regression analysis...
Persistent link: https://www.econbiz.de/10012202839
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Thailand's education system and skills imbalances : assessment and policy recommendations
Vandeweyer, Marieke; Espinoza, Ricardo; Reznikova, Laura; … - 2020
for navigating the rapidly changing world. …
Persistent link: https://www.econbiz.de/10012421216
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Measuring the quality of schools
1995
Persistent link: https://www.econbiz.de/10014272517
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Public expectations of the final stage of compulsory education
1995
Persistent link: https://www.econbiz.de/10014272518
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What schools for the future?
2001
Persistent link: https://www.econbiz.de/10001618628
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Where all students can succeed
OECD - 2019
Persistent link: https://www.econbiz.de/10012251094
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What students know and can do
OECD - 2019
Persistent link: https://www.econbiz.de/10012166407
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From education to work : a difficult transition for young adults with low levels of education
De Broucker, Patrice (contributor) - 2005
This book presents the results of the project on young adults with low levels of education, conducted jointly by the OECD and the Canadian Policy Research Networks. It examines the extent to which young men and women with low levels of education are marginalized, the role family background plays...
Persistent link: https://www.econbiz.de/10002931891
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Measuring innovation in education 2019 : what has changed in the classroom?
Vincent-Lancrin, Stéphan; Urgel, Joaquin; Kar, Soumyajit; … - 2019
Persistent link: https://www.econbiz.de/10011999822
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Public spending in education and student's performance in Colombia
Heras Recuero, Laura; Olaberría, Eduardo - 2018
Educación. The estimation exploits differences in both policy variables across regions and employs interactions to study if more …, social and cultural status, sex and age of students, and school characteristics. The results show that students …’ characteristics and their environment, school features and departmental differences in the policy variables explain roughly 20% of the …
Persistent link: https://www.econbiz.de/10011823723