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Early Childhood Education in the Context of Lifetime Human Capital Investment
Jeffrey M. Lacker
President, Federal Reserve Bank of Richmond
Early Childhood Education Executive Briefing
Richmond, Va.
October 19, 2015
This speech was delivered by John Weinberg, special advisor to President Lacker.
Good afternoon, and thank you for the opportunity to speak to you today on what is arguably one of the
most critical economic policy topics of all: the skills of our workforce. To set the stage, let me begin by
explaining why a Reserve Bank president might be interested in this topic. Part of our job at a regional
Federal Reserve Bank is to understand how economic growth is unfolding in our region and in our
national economy more broadly. We hear regularly from our constituents and partners throughout our
District, which runs from Maryland down through South Carolina and includes almost all of West
Virginia, that the long-run vitality of a community depends crucially on the skills of its people.
Economists, and increasingly others, refer to such skills as human capital. It has become apparent that
human capital investment is a critical determinant of an economy’s longer-run potential. As
policymakers, we need to know whether investments in skills through education and work experience are
making the most of the raw abilities that each new cohort of Americans brings with them. We at the
Richmond Fed have found it useful to look at questions regarding early childhood education through the
broader lens of human capital investment. Before I discuss these ideas in more detail, I must note that the
views I express are my own and should not be attributed to anyone else in the Federal Reserve System. 1
Human Capital Investments
The human capital approach treats skills as one of many kinds of investments available to individuals: It
views skill acquisition as influenced by the associated payoffs or “returns.” It allows for these payoffs to
be monetary or nonmonetary (such as the pleasure we experience from learning or having an
intellectually challenging job, for example). Furthermore, it suggests that human capital investments
ought to be “front loaded,” that is, occur primarily earlier rather than later in life. Investing early in
human capital makes sense for three reasons. First, it provides a longer time horizon over which to reap
the rewards and recoup the cost of the investment. Second, investing late is costlier in terms of the
forgone opportunities from spending time learning rather than earning, because earnings inevitably rise
with age and experience. Third, there is compelling evidence that “skills beget skills”: Early investments
in human capital make later investments more productive. 2
This complementarity between early and later investments in human capital suggests that we ought to
think about early childhood education within the broader context of human capital investments that take
place later in life. Formal education is key among these, and substantial public funding is aimed at
providing the means and environs for people to acquire it. These include the universal availability of a
free public K-12 education and a highly subsidized public college system thereafter.
Let me give you a sense of substantial scale of public support for education in the United States. Taken
together, the expenditures of public elementary schools, secondary schools and degree-granting
postsecondary institutions amount to 5.8 percent of GDP. 3 The level of spending is similar in most
developed nations, though the precise mix varies. Public elementary and secondary schools account for
two-thirds of these expenditures. 4 This makes public school essentially free for all. Moreover, the
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attendees of public K-12 schools, far from being disproportionately underprivileged, constitute a very
broad cross-section of American households. I will return to this point.
Human Capital Outcomes
To what extent has the widespread public provision of education given rise to cohorts ready for higher
education and the workplace? A brief glance at some summary measures suggests that we could do better.
Nationwide, about 20 percent of high school students fail to graduate within four years, with the number
being as high as 40 percent in some large urban school districts. At public, four-year, degree-granting
institutions, over 40 percent of enrollees fail to graduate within six years. 5
At the same time, our country appears to be experiencing what economists refer to as “skill-biased
technical change” — the growing use of advanced technologies that increase the demand for skilled
workers. Yet our investments in human capital have not kept pace with this demand. After rising rapidly
for much of the 20th century, the average number of years Americans spend in school has leveled off and,
since the 1970s, has remained stubbornly stable at roughly 14 years. 6 The share of high school graduates
who immediately enroll in four-year college has remained constant around 42 percent since 2000. 7 But
over the same period, college appears to have become an increasingly attractive proposition. The wages
of college graduates (though not the wages of those with some years of college but no degree) have
increased steadily relative to the wages of those with just a high school education.
The fact that so many do not enroll despite a widening college wage premium has profound implications.
For one, it raises the possibility that those who do not currently enroll assess their odds of collegiate
success as low enough to outweigh the high returns associated with completing a degree. In other words,
our K-12 education system is failing to respond to the increasing demand for college-ready graduates.
Indeed, K-12 systems seem to have acknowledged this, and college readiness is becoming an area of
focus at high schools nationwide. 8 Interestingly, the emphasis placed by high schools on college readiness
may have the unintended consequence of discouraging students who view themselves as unlikely to
attend college. If students believe the only reason to succeed in high school is to attend college, they, or
their families, might not see much value in doing what is required to graduate from high school. This can
contribute to poor performance and high dropout rates in high school 9 and to the increasingly frequent
reports we hear from employers that have trouble finding adequately prepared workers for jobs that do not
require a college degree.
What does all this mean for early childhood efforts? If students and their parents are aware of the limited
ability of their K-12 system to prepare them for college, or to provide them with useful skills when
college is not their best option, they may be less likely to make the effort needed to leverage the benefits
of early childhood education. One possible result is that the value of early childhood education may be
diluted or lost.
The last point drives home a theme I want to highlight: The ability of our K-12 educational system to help
people realize their potential will affect what results we can expect from earlier investments. This view
represents the flip side of the familiar idea that early human capital investment improves the efficacy of
later educational investments. It also suggests that early childhood investments made in conjunction with
well-functioning systems in K-12 and beyond may be capable of yielding even greater payoffs than what
research has uncovered so far. 10

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Challenges Facing Early Childhood Education
Another important theme that emerges from the human capital literature is that human capital is
multidimensional: Any attribute or skill that rewards the individual contributes. Cognitive skills – that is,
the mental abilities that relate to learning, problem-solving and so on -- are an important part of an
individual’s human capital. Cognitive skills have been shown to be associated with positive outcomes in
adulthood. But noncognitive skills, such as initiative and motivation, are also critical. Indeed, Nobel
Laureate James Heckman and other scholars have argued that it is through the channel of noncognitive
skills that early childhood interventions lead to better outcomes in adulthood. 11 Such skills make it
possible for us to acquire more complex cognitive skills, and they also are critical for success in the labor
market. Noncognitive skills, by their very nature, are harder to measure but, make no mistake, they are
clearly relevant. For example, we routinely hear from employers and workforce development
professionals around our District that a lack of “soft skills” is a major obstacle to hiring and employment.
It is also true, however, that the positive effects of early childhood interventions, especially on cognitive
outcomes, may fade out over time. This appears to be true for both “model” programs, which are typically
small, intensive, high-quality interventions, as well as for large-scale public programs such as Head
Start. 12 An early study compared outcomes for children who participated in Head Start with those of their
siblings who did not. 13 The use of siblings allowed the researchers to study differences in outcomes that
were not attributable to family circumstances. The study found that while both white and AfricanAmerican students experienced gains in test scores initially, the gains for the latter group, but not the
former, diminished after they left the program. Subsequent research has confirmed these “fade-out”
effects. 14 This suggests that human capital, like its physical counterpart, may “depreciate” in the absence
of ongoing high-quality investment.
The challenge of fade-out may be related to the link between parental circumstances and K-12 school
quality in the United States. The K-12 system here is heavily dependent on local economic conditions for
funding: Property taxes, on average, raise about 36 percent of all revenue needed to run public K-12
schooling. 15 Not surprisingly, school districts with higher median incomes raise more revenue locally and,
despite attempts by state and federal funding to offset this, tend to spend more on instruction per student.
By contrast, in most other developed nations, this link is less strong and local property taxes less
important. The Norwegian model of financing, for example, almost completely decouples parental
circumstances from the revenue collected within a school district. 16 This is an important point to bear in
mind: Early childhood efforts in the United States must fight the headwind created by the prevailing
model of school funding, something that they may not face elsewhere. Indeed, the correlation between
school funding and parental income might help explain why the gains from early childhood education
appear less persistent for some student populations.
Another challenge is being able to provide quality early childhood education on a large scale. The most
successful programs tend to be those that are intensive and use highly trained personnel to target
relatively small groups of students. On the other hand, research on the effectiveness of large-scale
programs suggests that the gains from these programs tend to be smaller and less persistent. A recent
study of Tennessee’s Voluntary Prekindergarten program has been widely cited for its negative findings:
By second grade, students who participated in the program actually performed worse than those who did
not. 17 The lessons of this study are still being investigated but we do know that, within other large scale
programs such as Head Start, more intensive interventions such as full-day service and frequent home
visits are associated with better outcomes. 18 This level of intensity would be costly to sustain in largescale programs, and so it follows that there must be a trade-off between the quality of the intervention and
the number of children that it reaches.

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Encouraging a Lifetime of Human Capital Investment
If funding for early childhood education is going to be constrained, as seems likely to be the case over the
medium term, then I believe a case can be made for targeting resources to those for whom outcomes
would change the most. There is widespread agreement in the academic literature that disadvantaged
students (for example, those coming from families with low incomes or parental education) experience
the greatest improvement in outcomes from early childhood interventions. Research has also found that
such targeted spending is likely to have a larger effect on reducing the persistence of inequality across
generations than broad-based spending. 19 It’s a good thing that some easily observable characteristics can
tell us whose outcomes are likely to be benefited most by early childhood efforts, because it opens a path
to setting eligibility requirements and judiciously targeting resources. Such targeting has in fact been a
feature of some early childhood investments. For example, the Minnesota Early Learning Scholarships
Program gives pre-school-aged children from low-income families access to early childhood education by
paying scholarships directly to the program of their choice. From 2016 onward, the programs will be
required to maintain a minimum rating to be eligible for funds. 20
I also want to stress a more general principle that we need to keep in mind when thinking about the
allocation of public funding, which is the importance of equalizing marginal societal benefits: The next
dollar spent ought to yield society the same bang for its buck no matter how it is ultimately allocated. In
essence, this principle provides a guide to balancing competing resource demands. I and many others
have long argued that a more balanced portfolio of educational spending would devote more resources to
early childhood education. The reason is that under current arrangements, the marginal return to
investments in early childhood appear to be large relative to other educational expenditures.
Finally, at the beginning of my remarks I discussed the idea that human capital investments at various
stages of life are complementary. This idea also has important implications for what an appropriately
balanced portfolio of education spending looks like. The evidence suggests that investments in early
childhood can increase the effectiveness of human capital investments made later in life. Conversely,
investments in K-12 education will also increase the long-term payoff to early childhood investments.
In conclusion, I should note that while what we have learned so far clearly underscores the power of early
childhood education, even more remains to be learned about the interplay of forces that determine its
ultimate efficacy. I’ll leave you with the idea that we can only unlock the full transformative potential of
early childhood education in the context of effective human capital investment in K-12 and beyond.
Thank you for your attention.

1

I am grateful to Kartik Athreya, Nika Lazaryan, Urvi Neelakantan and Jessie Romero for assistance in preparing
these remarks.
2
See, for example, Flavio Cunha and James Heckman, "The Technology of Skill Formation," American Economic
Review, May 2007, vol. 97, no. 2, pp. 31-47.
3
National Center for Education Statistics, Digest of Education Statistics, 2014, Tables 106.10 and 106.20.
https://nces.ed.gov/programs/digest/2014menu_tables.asp.
4
National Center for Education Statistics, Digest of Education Statistics, 2014, Tables 106.10 and 106.20.
https://nces.ed.gov/programs/digest/2014menu_tables.asp.
5
Ibid, Graduation Rates, https://nces.ed.gov/fastfacts/display.asp?id=40.
6
Claudia Goldin and Lawrence F. Katz, The Race Between Education and Technology, Cambridge, Mass.: Harvard
University Press, 2008.
7
Ibid, Immediate Transition to College, https://nces.ed.gov/fastfacts/display.asp?id=51.

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See Julie Berry Cullen, Steven D. Levitt, Erin Robertson, and Sally Sadoff, "What Can Be Done to Improve
Struggling High Schools?" Journal of Economic Perspectives, Spring 2013, vol. 27, no. 2, pp. 133-152.
9
For further discussion, see
https://www.richmondfed.org/~/media/richmondfedorg/publications/research/econ_focus/2014/q3/pdf/feature1.pdf.
10
Claudia Goldin and Lawrence F. Katz, The Race Between Education and Technology, Cambridge, Mass.:
Harvard University Press, 2009.
11
James Heckman, Rodrigo Pinto, and Peter Savelyev, Understanding the Mechanisms Through Which an
Influential Early Childhood Program Boosted Adult Outcomes, American Economic Review, October 2013, vol.
103, no. 6, pp. 2052-2086, 2013.
12
Janet Currie, "Early Childhood Education Programs." Journal of Economic Perspectives, Spring 2001, vol. 15, no.
2, pp. 213-238.
13
Janet Currie and Duncan Thomas, "Does Head Start Make a Difference?" American Economic Review, June
1995, vol. 85, no. 3, pp. 341-64.
14
See, for example, David Deming, "Early Childhood Intervention and Life-cycle Skill Development: Evidence
from Head Start." American Economic Journal: Applied Economics, July 2009, vol. 1, no. 3, pp. 111-134.
15
National Center for Education Statistics, Digest of Education Statistics, 2014, Table 235.10.
https://nces.ed.gov/programs/digest/2014menu_tables.asp.
16
Christopher M. Herrington, “Public Education Financing, Earnings Inequality, and Intergenerational Mobility,”
Review of Economic Dynamics, October 2015, vol. 18, no. 4, pp. 822-42,
http://dx.doi.org/10.1016/j.red.2015.07.006.
17
Mark W. Lipsey, Dale C. Farran, and Kerry G. Hofer, "A Randomized Control Trial of a Statewide Voluntary
Prekindergarten Program on Children's Skills and Behaviors through Third Grade," Peabody Research Institute,
September 2015.
18
See Christopher Walters, “Inputs in the Production of Early Childhood Human Capital: Evidence from Head
Start,” American Economic Journal: Applied Economics, October 2015, vol. 7, no. 4, pp. 76-102, and references
thereof.
19
William Blankenau and Xiaoyan Youderian. "Early Childhood Education Expenditures and the Intergenerational
Persistence of Income," Review of Economic Dynamics, 2015, vol. 18 no. 2, pp. 334-349.
20
http://www.education.state.mn.us/MDE/StuSuc/EarlyLearn/EarlyLearnScholarProg/index.html.

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