Measures of Human Capital and Nonlinearities in Economic Growth
By P. Kalaitzidakis, T. Mamuneas, A. Savvides, Thanasis Stengos. 2001
254 citations recorded by the source corpus.
In this paper we study the relationship between human capital accumulation and economic growth using various measures of human capital frequently employed by researchers. We use semiparametric estimation techniques to uncover any nonlinearities that may exist. Using mean years of schooling measures of human capital we find a nonlinear effect on economic growth. There seem to be important differences in the growth effect of educational attainment by gender and level of education. Enrollment rates do not yield a nonlinear effect.
Subfields: Economics and Econometrics, Information Systems
View Paper: https://www.semanticscholar.org/paper/7db8048a6c848e10247a33b1de69ce06829da960
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Nikos Benos
- Stefania Zotou
- Thanasis Stengos
- Henri L. F. de Groot
- Salvador Barrios
- M. Abreu
- C. Papageorgiou
- Winford H. Masanjala
In Information Systems
- Nikos Benos
- Stefania Zotou
- M. Abreu
- V. Bove
- Henri L. F. de Groot
- Thanasis Stengos
- C. Papageorgiou
- Winford H. Masanjala
Citations in the corpus
- Thresholds in the Finance-Growth Nexus : A Cross-Country Analysis (2011, unknown): “Karras (1996) reports that there is an optimal government size, and, on an average, it is about 23 percent of the GDP.”
- Does Education Matter for Economic Growth? (2014, unknown): “Temple (2001) and Kalaitzidakis et al. (2001), for example, argue that there is a significant nonlinear relationship between economic growth rates and schooling.”
- Economic Development and the Return to Human Capital: A Smooth Coefficient Semiparametric Approach (2006, methodology): “Kalaitzidakis et al. (2001) use semiparametric techniques and find that there are substantial nonlinearities in the growth–human capital relationship that linear models are unable to detect.”
- Education and Economic Growth: A Meta-Regression Analysis (2014, methodology): “Using semiparametric estimation, Kalaitzidakis et al (2001) find nonlinear effects of schooling years, but not enrollment rates, on growth, while Pritchett (2001), employing OLS and IV, reports a negative growth influence of schooling years.”
- A Meta-Analysis of Beta- Convergence (2005, background): “Although in many meta-analyses the specification of the conditioning variables is dealt with rather casually, the simulation experiments in Koetse et al. (2004) and Keef and Roberts (2004) show that for a meaningful and statistically unbiased comparison, it is crucial that the meta-specification con”
- The Solow model with CES technology: nonlinearities and parameter heterogeneity (2004, background): “(13)One of Kaldor’s (1961) “stylized facts” of economic growth, is that the shares of income accruing to capital and labor are relatively constant over time. This view has been first challenged by the pioneer paper of Solow (1958) and remains today an open research question (i.”
- Migration, diversity, and economic growth (2017, background): “Yet, the debate is still open and no consensus on this issue has so far been reached: Kalaitzidakis et al. (2001), for example, reveal that at low levels of human capital the effect of education is actually negative whereas it is positive at middle levels; they suggest that the negative effect at…”
- The dynamics of regional inequalities (2009, result): “…foster divergence, rather than convergence across spatial 1 Exceptions to this assertion can be found, for instance, in studies investigating the non-linearity of the convergence process such as Liu and Stengos (1999), Kalaitzidakis et al. (2001), Fiaschi and Lavezzi (2003) and in studies 3 units.”