Macroeconomic performance and education
Literature on economic growth models explores
directly the quantitative relationship between
investments in education and training and the
level and growth of per capita GDP. There are a
large number of studies, beginning with the classical growth models first developed in the 1950s,
through to the so-called endogenous growth
models that are still widely applied in many
current empirical studies. Both data sets and
econometric modelling techniques have developed extensively over recent years and many
different model specifications have been
proposed and empirically tested. Typically, these
models use data drawn from a cross-section of
countries, sometimes only for developed countries but often for a wider set. Data difficulties
commonly mean that consistent series of educational variables are hard to obtain over sufficiently
long periods to facilitate econometric time series
analyses. For developed countries over more
recent years, cross-sectional and time series data
are combined into panel sets to enable a more
comprehensive testing of the relationship
between human resources and economic growth.
This body of research can be divided up into a
number of subsections. The so-called ‘growth
accounting’ literature emphasizes the importance
of measuring changes in the quality of labor, as
indicated by improved qualifications and higher
skills, when trying to account for economic
growth over the long term. The impact of the
accumulation of knowledge though the undertaking of research and development (R&D) has
also been a key feature of this body of research.
Other subsections focus on technical research
into production and related functions, which are
concerned with the relationships between factor
inputs (both tangible and intangible, such as
knowledge) and economic outputs. The so-called
‘new growth theories’ are also very relevant here.
These highlight the determinants of economic
growth in the broadest sense, concentrating on
human capital inputs. There are a number of
distinguishing features of the new growth models,
but, essentially, they extend the existing models
by endorsing technological change (hence,
they are also sometimes referred to as endogenous growth theories). This contrasts with traditional neoclassical models, where economic
growth is driven by the increase in factor inputs
(i.e. population growth) and by the exogenous
rate of (labor augmenting) technological change.
The newer models often allow for increasing
returns to scale, where growth is unbounded and
in which growth rates can continue to increase
indefinitely over time.
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