Does Education Matter for Economic Growth?
By M. Delgado, Daniel J. Henderson, Christopher F. Parmeter. Social Science Research Network, 2014
147 citations recorded by the source corpus.
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 regression estimator and a nonparametric variable relevance test to conduct a rigorous and systematic search for significance of mean years of schooling by examining five of the most comprehensive schooling databases. Contrary to a few recent papers that have identified significant nonlinearities between education and growth, our results suggest that mean years of schooling is not a statistically relevant variable in growth regressions. However, we do find evidence (within a cross-sectional framework), that educational achievement, measured by mean test scores, may provide a more reliable measure of human capital than mean years of schooling.
Subfields: Economics and Econometrics, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/f9333902a32947da70eab90a767a594e2e5cf7ed
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
In Sociology and Political Science
Citations in the corpus
- The Price Elasticity of Electricity Demand in the United States: A Three-Dimensional Analysis (2017, methodology): “The approach has been increasingly used to estimate long-run effects in applied economics research (e.g. Burke and Nishitateno, 2013, 2015; Delgado et al. 2014; Edwards, 2016; Ma and Stern, 2016), although has yet to be used to estimate the long-run price elasticity of electricity demand in the U.S.”