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Cited by 716

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Growth, distance to frontier and composition of human capital

Open access
Vandenbussche, Jérôme, Aghion, Philippe, Meghir, Costas·2006·Journal of Economic Growth
DOI 10.1007/s10887-006-9002-y
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Abstract

We examine the contribution of human capital to economy-wide technological improvements through the two channels of innovation and imitation. We develop a theoretical model showing that skilled labor has a higher growth-enhancing effect closer to the technological frontier under the reasonable assumption that innovation is a relatively more skill-intensive activity than imitation. Also, we provide evidence in favor of this prediction using a panel dataset covering 19 OECD countries between 1960 and 2000 and explain why previous empirical research had found no positive relationship between initial schooling level and subsequent growth in rich countries.

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Crossref · 10.1007/s10887-006-9002-y

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Metadata

Authors
Vandenbussche, J., Aghion, P., & Meghir, C.
Venue
Journal of Economic Growth
Publisher
Springer Science and Business Media LLC
Published
2006-06
Volume
11
Issue
2
Pages
97-127
ISSN
  • 1381-4338 (ISSN-L)
  • 1573-7020
DOI
10.1007/s10887-006-9002-y
OpenAlex
W2153666116
Cited by
716
References
6
FWCI
16.59
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Growth, distance to frontier and composition of human capital. https://app.cochat.ai/papers/10.1007/s10887-006-9002-y
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Vandenbussche, J., Aghion, P., & Meghir, C. (2006). Growth, distance to frontier and composition of human capital. Journal of Economic Growth. https://doi.org/10.1007/s10887-006-9002-y

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.