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A new macroeconomic measure of human capital exploiting PISA and PIAAC: Linking education policies to productivity
Égert, Balázs - 2022
This paper provides a new measure of human capital using PISA and PIAAC surveys, and mean years of schooling. The new measure is a cohort-weighted average of past PISA scores (representing the quality of education) of the working age population and the corresponding mean years of schooling...
Persistent link: https://www.econbiz.de/10013202470
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A New Macroeconomic Measure of Human Capital Exploiting PISA and PIAAC : Linking Education Policies to Productivity
Égert, Balázs; de la Maisonneuve, Christine; Turner, David - 2022
This paper provides a new measure of human capital using PISA and PIAAC surveys, and mean years of schooling. The new measure is a cohort-weighted average of past PISA scores (representing the quality of education) of the working age population and the corresponding mean years of schooling...
Persistent link: https://www.econbiz.de/10013290779
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Mobility and Regional Competitiveness in the Digital Age
Zuti, Bence - 2018
Digitalization is one of the key drivers of accelerated change in our everyday lives, both on an economic and social level. With solutions enabled through ICT technologies, we are more connected than ever on the global scale. In this next chapter of globalization, we currently experience...
Persistent link: https://www.econbiz.de/10014033706
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Does education matter for economic growth?
Delgado, Michael S.; Henderson, Daniel J.; Parmeter, … - 2012
Empirical growth regressions typically include mean years of schooling as a proxy for human capital. However, empirical research often finds that the sign and significance of schooling depends on the sample of observations or the specification of the model. We use a nonparametric local-linear...
Persistent link: https://www.econbiz.de/10009681433
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Measuring Human Capital
Angrist, Noam - 2019
Students around the world are going to school but are not learning – an emerging gap in human capital formation. To understand this gap, this paper introduces a new data set measuring learning in 164 countries and territories. The data cover 98 percent of the world's population from 2000 to...
Persistent link: https://www.econbiz.de/10012891976
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Cross-country data on skills and the quality of schooling : a selective survey
Fuente, Ángel de la; Doménech, Rafael - 2021
Scores in standardized international student achievement tests and some recent adult literacy studies provide interesting data on the quality of educational outputs and on the skill level of the population that can be a useful complement to the data on the quantity of schooling which have been...
Persistent link: https://www.econbiz.de/10012692244
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Regional Benchmarking in a Global Context : Knowledge, Competitiveness, and Economic Development
Huggins, Robert; Izushi, Hiro - 2015
Knowledge Competitiveness Index (WKCI), which is one of the very few benchmarking exercises established to compare regions …
Persistent link: https://www.econbiz.de/10014190644
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The Global Innovation Index as a Measure of Triple Helix Engagement
Todeva, Emanuela - 2020
comparability across developed and developing countries. Each Index is introduced with its background, methodology, and how it … effects from the innovation process. The Global Innovation Index adds little to this portfolio, but offers a simplified … measurement remains focused on individual helices …
Persistent link: https://www.econbiz.de/10014098304
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Linguistic traits and human capital formation
Galor, Oded; Özak, Ömer; Sarid, Assaf - 2020
This research establishes empirically that existing cross-language variations in the structure of the future tense and the presence of grammatical gender affected human capital accumulation. Exploiting variations in the dominant languages among migrants from the same countries of origin, the...
Persistent link: https://www.econbiz.de/10012225678
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Education, human capital and economic growth : empirical research on 55 countries and regions : (1960-2009)
Wang, Ying; Liu, Shasha - In: Theoretical economics letters 6 (2016) 2, pp. 347-355
Persistent link: https://www.econbiz.de/10011545766