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RESEARCH: Education and Economic Growth
By Eric Hanushek, Dean T. Jamison, Eliot A. Jamison and Ludger Woessmann
It's not just going to school but learning that matters
Even before and certainly ever since the
1983 release of A Nation at Risk by the National Commission on Excellence in Education,
national economic competitiveness has been offered as a primary reason for
pushing school reform. The commission warned, “If only to keep and
improve on the slim competitive edge we still retain in world markets, we
must dedicate ourselves to the reform of our educational system for the
benefit of all—old and young alike, affluent and poor, majority and
minority.” Responding to these urgent words, the National Governors
Association, in 1989, pledged that U.S. students would lead the world in
math and science achievement by 2000.
According to the latest international math and science
assessment conducted by the Organisation of Economic Co-operation and
Development’s (OECD) Programme for International Student Assessment
(PISA) (see Figure 1), the United States remains a long distance from that
target. Rather than worrying about the consequences, some have begun to
question what all the fuss was about. Education researcher Gerald Bracey,
for example, has argued that no one has “provided any data on the
relationship between the economy’s health and the performance of
schools. Our long economic boom suggests there isn’t one—or
that our schools are better than the critics claim.”
Truth be told, the Bracey critique is not entirely
misplaced. Most commentators rely more on the commonsense understanding
that countries must have good schools to succeed economically rather than
presenting conclusive empirical evidence that connects what students learn
in school to what subsequently happens in a nation’s economy. Even
economists, the people who think the most systematically about the way in
which “human capital” affects a nation’s economic future,
have skirted the heart of the question by looking only at “school
attainment,” namely the average number of years students remain in
school.
Using average years of schooling as an indicator of a
country’s human capital has at least two major drawbacks. First and
foremost, the approach assumes that students in diverse school systems
around the world receive the same educational benefits from a year of
schooling. A year of schooling in Papua New Guinea and a year of schooling
in Japan are treated as equally productive. Second, this measure does not
account for learning that takes place outside the classroom—within
families, among peers, or via the Internet, for example.
A more direct measure of a country’s human
capital is the performance of students on tests in math and science,
something that might be called the average level of “cognitive
skills” among those entering a country’s work force. At one
time, internationally comparable information on student performance was not
available for a sufficient number of countries over a long enough period of
time to allow for systematic study, which is why economists relied upon the
less informative measures of school attainment. Now that test-score data
for many countries over an extended period of time are readily available,
it is possible to supplement measures of educational attainment with these
more direct measures of cognitive skills.
In a series of studies conducted over several years,
the four of us have explored the role of both school attainment and
cognitive skills in economic growth. Beginning in the mid-1960s,
international agencies started conducting tests of students’
performance in mathematics and science at various grade levels. We used
performance on 12 of these standardized tests as rough measures of the
average level of cognitive skill in a given country. With this information,
we could assess how human capital relates to differences in economic growth
for 50 countries from 1960 to 2000, more countries over a longer period of
time than any previous study. We were also able to pay close attention to
institutional factors that influence economic growth, such as openness of
the economy and protection of property rights.
What we discovered gives credence to the concerns
expressed in A Nation at Risk. The level of cognitive skills of a nation’s students
has a large effect on its subsequent economic growth rate. Increasing the
average number of years of schooling attained by the labor force boosts the
economy only when increased levels of school attainment also boost
cognitive skills. In other words, it is not enough simply to spend more
time in school; something has to be learned there.
We also discovered that the size of the impact of
cognitive skills depends on whether a nation’s economy is open to
outside trade and other external influences. The more open the economy, the
more important it is that a country’s students are acquiring high
levels of cognitive skills. As the world becomes increasingly
interdependent or “flat,” to use New York Times columnist
Thomas Friedman’s familiar terminology, enhancing human capital will
become increasingly critical. As the world continues to change, the United
States can ill afford to rest easily on its past accomplishments.
Measuring Cognitive Skills
Reaching these conclusions required a multistep
analysis. The first step was to use the 12 PISA and other international
math and science assessments, dating back to 1964, to construct an index of
cognitive skill levels for a large sample of countries at various points in
time. Because the number of countries participating in the 12 test
administrations changed from one administration to the next, and because
testing agencies have made no attempt to link their results to one another,
we needed to develop comparable scores for each test. This required a norm
against which each test could be calibrated. Fortunately, we could
construct that norm by using information from tests in the United States,
the country that has had the earliest, most sophisticated, and most
comprehensive system of testing. The United States has participated in all
of the international tests since 1964, and it has also maintained a
separate longitudinal testing system of its own, the National Assessment of
Educational Progress (NAEP). With that information in hand, it was possible
to calibrate scores on each of the separate international tests to one
another via the connection of those tests to the NAEP. To obtain further
precision, we used the variation in scores across a subset of the
more-advanced developed countries to obtain an estimate of the spread in
scores across countries. By following these two steps, we were able to
aggregate all available scores for each country into measures of average
cognitive skill levels for each country.
The 50 countries for which we were able to develop a
comparable measure of cognitive skill levels include the 30 democracies
that have market economies and have been accepted as members of the OECD,
most of which are at a relatively high level of economic development. The
other 20 countries are at lower levels of economic development. In Figure
2, you can identify top performers like Finland and Japan, average
performers such as the United States and Germany, and low performers that
include Albania, the Philippines, and South Africa.
Impact on Economic Growth
We wanted to use this new information to compare the
economic benefits of higher levels of just school attainment with the
benefits of higher levels of cognitive skills. We therefore took measures
of average educational attainment and average cognitive skill levels for as
many countries as possible and examined their relationship to the average
annual growth rate in the country’s gross domestic product (GDP) per
capita from 1960 through 2000.
First, we looked just at the impact of average school
attainment on the economic growth rate. (An adjustment was made for the
initial level of GDP because it is “easier” to grow if you are
starting out at a lower level; that is, it is easier to copy more
productive technologies than to initiate progress on your own.) When we
performed this analysis, we found, as other economists before us, that when
the average number of years of schooling in a country was higher, the
economy grew at a higher annual rate over subsequent decades. Specifically,
we found that, across the 50 countries, each additional year of average
schooling in a country increased the average 40-year growth rate in GDP by
about 0.37 percentage points.
That may not seem like much, but consider the fact
that since World War II, the world economic growth rate has been around 2
to 3 percent of GDP annually. Lifting it by 0.37 percentage points is a
boost to annual growth rates of more than 10 percent of what would
otherwise have occurred, a significant amount.
But the impact of improved cognitive skills, as
measured by the performance of students on math and science tests, is
considerably larger. When we performed the analysis again, this time also
including the average test-score performance of a country in our model, we
found that countries with higher test scores experienced far higher growth
rates. If one country’s test-score performance was 0.5 standard
deviations higher than another country during the 1960s—a little less
than the current difference in the scores between such top-performing
countries as Finland and Hong Kong and the United States—the first
country’s growth rate was, on average, one full percentage point
higher annually over the following 40-year period than the second
country’s growth rate. Further, once the impact of higher levels of
cognitive skills are taken into account, the significance for economic
growth of school attainment, i.e., additional years of schooling, dwindles
to nothing (see Figure 3). A country benefits from asking its students to
remain in school for a longer period of time only if the students are
learning something as a consequence.
Another indication of the importance of education
quality to economic growth lies in our ability to explain global variation
in GDP growth. When we tried to account for economic growth with
information only about school attainment levels and the level of a
country’s GDP in 1960, we were able to explain only one-quarter of
the differences we saw among countries. But when we also included cognitive
skills in our statistical models of economic growth, we were able to
attribute nearly three-quarters of the differences among countries to these
three factors. In other words, higher levels of cognitive skill appear to
play a major role in explaining international differences in economic
growth.
Of course, the initial level of economic development,
schooling attainment, and cognitive skills are not the only factors that
affect economic growth. Could it be that some other factor we have
overlooked is responsible for the close connection between test scores and
economic growth?
Other economic research has identified two additional
factors that affect a country’s economic growth rate: the security of
its property rights and its openness to international trade. When those two
factors are taken into account, the positive effect of cognitive skills on
annual economic growth becomes somewhat smaller, but is still 0.63
percentage points per half of a standard deviation of test scores. This is
the best available estimate of the size of the impact of cognitive skills
on economic growth.
Other commonly discussed determinants of economic
growth are fertility and geography. However, when we took into account the
total fertility rate and common geographical proxies,
such as latitude or the fraction of the land area of a country that is
located in the tropics, neither of these additional variables was
significantly associated with economic growth. Once again, the strong
effect of cognitive skills remained clear.
We performed a variety of additional tests to assess
the validity of these basic results. For example, we estimated the
relationships over shorter periods of time, used different subsets of
international tests, and compared smaller groups of the 50 countries.
One of our tests was particularly interesting. We
thought it possible that the effect of cognitive skills could be the result
of the presence in our sample of East Asian countries, most of which have
both high levels of cognitive skill and rapidly growing economies. To see
whether the inclusion of those countries in our study influenced our
results, we excluded them from one of our models. The impact of cognitive
skill remained very powerful, albeit diminished.
We also looked at cognitive skills as measured in the
1960s through the mid-1980s to see what their impact was on growth between
1980 and 2000, ensuring that the cognitive skills themselves were not
caused by the economic growth. Again, our basic findings remained intact.
Finally, we looked at whether a country’s estimated cognitive skills
affected the earnings of immigrants working in the United States. Higher
home country cognitive skills translated into higher earnings if the
immigrants were educated in their homeland but not if educated in the
United States.
Our commonsense understanding of the importance of
good schools can thus be documented quite precisely. A highly skilled work
force can raise economic growth by about two-thirds of a percentage point
every year.
More Rocket Scientists or Basic Skills for All?
To gain additional insight into the relationship
between cognitive skills and economic growth, we examined the separate
impact of improvements at different levels of a nation’s distribution
of skills. Loosely speaking, is it a few “rocket scientists” at
the very top of the distribution who spur economic growth, or is it
“education for all” that is needed?
To address this question, we measured the share of
students in each country who reach a threshold of basic competency in
mathematics and science, as well as the share of students who perform at
very high levels. To estimate the importance of basic competency, we
identified the share of students performing at least at a very basic level,
that is, no more than one standard deviation below the international
average of all OECD countries. In the average OECD country in our study, 89
percent of the students achieved at least at this very basic level. The
share of students with at least basic skills ranged widely among countries,
from as low as 18 percent in Peru to 97 percent in the Netherlands and
Japan. To show a country’s ability to develop a large cadre of
high-performing students, we identified the share of students performing at
very high levels—at or above one standard deviation over the OECD
average. On average across all countries, 6 percent of students performed
at that high level. Once again, countries varied enormously in this
respect, the percentage ranging from as low as 0.1 percent in Colombia and
Morocco to 18 percent in Singapore and Korea and 22 percent in Taiwan.
Which is more important for growth—having a
substantial cadre of high performers or bringing everyone up to a basic
level of performance? The answer, it seems, is not one or the other but
both! When we estimated the importance of each within the same model, we
found each of them to be separately important to economic growth. That is,
both the performance of countries in ensuring that almost all students
achieve at basic levels and their performance in producing high-achieving
students seem to matter.
The reasons that a substantial cadre of highly skilled
citizens and near-universal basic skills matter are not difficult to
imagine. Even if a country is simply making use of new technologies
developed elsewhere, as is often the case in developing parts of the world,
the more workers that have at least basic skills, the easier it will be for
them to make use of those new technologies. Some workers need a high level
of skill so they can help adapt the new technologies to their
countries’ particular situation. In countries on the technological
frontier, substantial numbers of scientists, engineers, and other
innovators are obviously needed. But so is a labor force that has the basic
skills needed to survive in a technologically driven economy.
But even if the results seem intuitively correct, they
should be taken as suggestive rather than definitive, because the two
measures of cognitive skills are closely related to one another and our
models have difficulty in separating out the precise impact of each
individually. Most countries that have a high percentage of students with
very high cognitive skills also are ones in which basic skills are near
universal. Conversely, countries with a substantial percentage of students
lacking even basic skills tend to be those that have only a small
percentage of highly skilled students. Still, that pattern is not a perfect
one, so we are able, at least tentatively, to identify the impact of each
type of human capital, and we are quite confident that we can recommend
that countries both concentrate resources on their “best and
brightest” and make sure that “no child is left behind.”
The Impact of Becoming a World Leader
What would it mean for economic growth, then, if a
country like the United States, currently performing somewhat below the
average of OECD countries, managed to increase its performance by 50 points
(or 0.5 standard deviations) so that it would score alongside the world
leaders? (On average on the PISA 2006 math and science exams, countries
such as Canada and Korea scored about 50 points higher than the U.S., Hong
Kong and Taiwan about 60 points higher, and Finland as many as 74 points
higher.) That increase of 50 test points is exactly what George H. W. Bush
and the nation’s governors together promised in 1989 the United
States would achieve by the year 2000.
Unfortunately, no such gains were realized. But had
the promise been fulfilled by 2000, our results suggest that GDP would by
2015 be 4.5 percent greater than in the absence of any such gains (see
Figure 4). That 4.5 percent increment in GDP is equal to the total the U.S.
currently spends on K–12 education. In other words, had that money
effectively raised cognitive skills by the 50 test points that would have
brought the United States close to world leadership, the economic returns
to the country would probably have been enough to cover the entire cost of
education in 2015 and after.
Figure 4 shows that the benefits of successful reform
grow even more vivid when we look farther out. Over 75 years, even a reform
that takes effect in 20 years (instead of the governors’ 10 years)
yields a real GDP that is 36 percent higher than it would be if there was
no change in the level of cognitive skills.
None of this is meant to suggest that schooling is the
only factor contributing to a society’s cognitive skill development.
Family, individual ability, and health combine with school quality to
determine a student’s level of achievement. Yet there is every reason
to believe that the single best route to higher levels of cognitive skill
is strengthening a country’s education system. After all, most people
think that is the system’s primary purpose.
An American Exception?
The United States has never done well on international
assessments of student achievement. Instead, its level of cognitive skills
is only about average among the developed countries. Yet the
country’s GDP growth rate has been higher than average over the past
century. If cognitive skills are so important to economic growth, how can
we explain the puzzling case of the U.S.?
Part of the answer is that the United States may be
resting on its historic record as the world’s leader in educational
attainment. In addition, the United States has other advantages, some of
which are entirely separate and apart from the quality of its schooling.
The U.S. maintains generally freer labor and product markets than most
countries in the world. There is less government regulation of firms, and
trade unions are less powerful than in many other countries. Put more
broadly, the U.S. has generally less intrusion of government in the
operation of the economy, including lower tax rates and minimal government
production through nationalized industries. Taken together, these
characteristics of the U.S. economy encourage investment, permit the rapid
development of new products and activities by firms, and allow U.S. workers
to adjust to new opportunities.
Those economic institutions seem to matter on their
own and in conjunction with cognitive skills. Our analyses suggest that the
value of a high-quality education system is substantially diminished in
closed economies. We estimate that the effect of a one-standard-deviation
improvement in cognitive skills on annual economic growth is 0.9 percentage
points per year in closed economies, identified by heavy restrictions on
international trade, but 2.5 percentage points in open economies. It may be
that rich human capital combines with a laissez-faire economy to foster
robust economic growth.
It is also the case that, over the 20th century, the
expansion of the U.S. education system outpaced the rest of the world. The
U.S. pushed to open secondary schools to all citizens. Higher education
expanded with the development of land grant universities, the GI Bill, and
direct grants and loans to students. The extraordinary U.S.
higher-education system is a powerful engine of technological progress and
economic growth in the U.S. not accounted for in our analysis. By most
evaluations, U.S. colleges and universities rank at the very top in the
world.
Although the strengths of the U.S. economy and its
higher-education system offer some hope for the future, the situation at
the K–12 level should spark concerns about the long-term outlook for
the U.S. economy, which could eventually have an impact on the
higher-education system as well. The U.S. higher-education system may also
be challenged by improvements in higher education across the world. Other
countries are doing more to secure property rights and open their
economies, which will enable them to make better use of their human
capital. Most obviously, the historic advantage of the U.S. in school
attainment has come to an end, as half of the OECD countries now exceed the
U.S. in the average number of years of education their citizens receive.
Those trends could easily accelerate in the coming decades.
Not Just a Matter of Money
Our evidence of a clear, strong relationship between
cognitive skills and economic growth should encourage continued reform
efforts. Improvements in mathematics performance called for by No Child
Left Behind would matter, contrary to what critics sometimes suggest. Yet
reformers should bear in mind that money alone will not yield the necessary
improvements. Many expensive attempts around the world to improve schooling
have failed to yield actual improvements in student achievement.
Economic growth flows only from reforms that bring
actual improvements in cognitive skills. Identifying what works and how to
implement it on a society-wide scale remains a challenge, not only for the
U.S. but also for many nations across the globe. But, if we are to remain
economically competitive, we need to solve the puzzle of our schools and
meet the governors’ challenge. We should not, simply because we have
failed to meet them in the past, decide that the goals were not legitimate
or important.
Eric A. Hanushek is a senior fellow at the Hoover
Institution of Stanford University. Dean T. Jamison is professor of health
economics in the School of Medicine at the University of California, San
Francisco. Eliot A. Jamison is an investment professional at Babcock &
Brown. Ludger Woessmann is professor of economics at the University of
Munich and heads the Department of Human Capital and Innovation of the Ifo
Institute for Economic Research. The opinions expressed in this article are
those of the authors and do not necessarily reflect those of their
employers.
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