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Are average years of education losing predictive power for economic growth? An alternative measure through structural equations modeling

  • Henry Laverde-Rojas(corresponding author)
    ,
  • ,
  • Klaus Jaffe
    ,
  • Mario I. Caicedo
*Corresponding author for this work
  • Fundación Universitaria Konrad Lorenz
    ,
  • Universidad Simón Bolívar
Research Output:
Contribution to journal
Article
Peer-review

Open access

Sustainable Development Goals

  • SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

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0.36
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4
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Paper percentile
45
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Citations
14
Scopus
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Abstract

The accumulation of knowledge required to produce economic value is a process that often relates to nations economic growth. Some decades ago many authors, in the absence of other available indicators, used to rely on certain measures of human capital such as years of schooling, enrollment rates, or literacy. In this paper, we show that the predictive power of years of education as a proxy for human capital started to dwindle in 1990 when the schooling of nations began to be homogenized. We developed a structural equation model that estimates a metric of human capital that is less sensitive than average years of education and remains as a significant predictor of economic growth when tested with both cross-section data and panel data.

Publication Information

Output type

Research Output:
Contribution to journal
Article
Peer-review

Original language

English

Article number

e0213651

Pages from-to (Number of pages)

Pages e0213651

Journal (Volume, Issue Number)

PLoS One (Volume 14, Issue 3)

Publication milestones

  • Published - 21/03/2019

Publication status

Published - 21/03/2019

ISSN

1932-6203

Publication IDs

  • ORCID: /0000-0002-0301-5641/work/55562363
  • PubMed: 30897113
  • Scopus: 85063356610

Funding Details

The authors wish to thank the academic editor and anonymous reviewers for their insightful comments and recommendations for enhancing the quality and rigor of this paper. The authors are indebted to Universidad Santo Tomás (Bogotá, Colombia), Fundación Universitaria Konrad Lorenz (Bogotá, Colombia), and Universidad Simón Bolívar (Caracas, Venezuela) for providing us with the facilities to conduct the analyses.
FundersFunding numbers
USB
-
Fundación Universitaria Konrad Lorenz
-