Expanding college opportunities: intervention yields strong returns for low-income high-achievers.
Hoxby, Caroline ; Turner, Sarah
Ask any high school student in a well-heeled suburban community
around the United States the best strategy for applying to college, and
chances are you'll hear something like this: apply to several
schools, most with students whose grades and test scores are similar to
your own. But be sure to include one or two "safeties" at
which admission is all but guaranteed and a couple of
"reaches." And data on the colleges to which high-achieving,
high-income students apply and that they attend suggest that they are
paying attention.
The situation for low-income students appears to be quite
different. The vast majority of even very high achieving students from
low-income families do not apply to a single selective college or
university. In other words, having worked hard in high school to prepare
themselves well for college, they do not even apply to the colleges
whose curriculum is most geared toward students with their level of
preparation.
This is particularly puzzling because there are good reasons why
many of these students should attend more-selective colleges. First,
they are likely to succeed if they do. The high-achieving, low-income
students who do apply are admitted, enroll, progress, and graduate at
the same rates as high-income students with equivalent test scores and
grades. Second, taking into account financial aid, low-income students
generally face lower net costs at selective institutions than at the far
less-selective institutions with fewer resources that most of them
attend (see Figure 1).
[FIGURE 1 OMITTED]
One potential explanation for this pattern of behavior is that
high-achieving, low-income students do not have access to good
information about college quality and costs. These students are quite
dispersed throughout the country and are often the only high-achieving
student or one of just a few such students in their school. Thus, their
high school counselor is unlikely to have much expertise regarding
selective colleges and likely to be focused on other issues. Nor are
recruiting visits to their high school or community likely to be
cost-effective for college admissions staff. Moreover, it is often the
case that neither parents nor other trusted adults are able to fill the
deficit in information about college quality and costs for
high-achieving low-income students. In short, traditional information
channels may bypasss, low-income students, even if counselors and
admissions staff conscientiously do everything that they can for these
students.
Many low-income students may therefore be poorly informed about
their college opportunities or deterred by apparently small barriers
such as the paperwork required to request a waiver for application fees.
Although a great deal of relevant information is available on the
Internet, it is not easy for an inexperienced student to distinguish
reliable sources of information on college admission standards,
curricula, and net costs from the numerous unreliable (sometimes
egregiously misleading) sources that are also online. Furthermore, many
available information sources assume that low-income students are
low-achieving and offer guidance that reflects this assumption. Because
high-achieving, low-income students are atypical, these materials, aimed
at students who are at the margin of attending any college, will provide
little assistance.
For this study, we designed an experiment to test whether some
high-achieving, low-income students would change their behavior if they
knew more about colleges and, more importantly, whether we can construct
a cost-effective way to help such students realize their full array of
college opportunities. We do so by randomly assigning interventions that
provide different types of information to roughly 18,000 students,
including 3,000 students who serve as controls. The most comprehensive
form of the intervention, which we call the Expanding College
Opportunities-Comprehensive (ECO-C) Intervention, combined application
guidance, semicustomized information about the net cost of attending
different colleges, and no-paperwork application fee waivers.
The ECO-C Intervention costs just $6 per student, yet we find that
it causes high-achieving, low-income students to apply and be admitted
to more colleges, especially to more of those with high graduation rates
and generous instructional resources. The students who receive the ECO-C
Intervention respond to their expanded opportunities by enrolling in
colleges that have students with stronger academic records, more
instructional resources, and higher graduation rates. Their first-year
grades in college are as good as those of the control students, despite
the fact that the control students attend less-selective colleges, where
the other students' preparation for college is substantially
inferior to their own.
The Expanding College Opportunities Project
We designed the Expanding College Opportunities Project to test
several hypotheses about why most high-achieving, low-income students do
not apply to and attend selective colleges. The application guidance
component of ECO-C provides the kind of advice that an expert college
counselor would give a high-achieving student. An expert counselor would
advise such a student to apply to eight or more colleges, including a
combination of "safety," "match," and
"reach" colleges. We call this group of colleges that are
within an appropriate range for a given student's achievement
"peer" colleges.
An expert counselor would also advise a student to obtain letters
of reference; take college assessments on schedule; send verified
assessment scores to colleges; write application essays; complete the
Free Application for Federal Student Aid and the CSS Profile (an
additional form required by many colleges that offer the most generous
financial aid); and meet all other deadlines and requirements of
selective colleges' applications. Finally, an expert college
counselor would advise a student to compare colleges on the basis of
their curricula, instructional resources, other resources (housing,
extracurricular opportunities), and outcomes (such as graduation rates).
ECO-C includes application guidance along these lines and gives
students timely and customized reminders about deadlines and
requirements. It also provides students with comparative information on
colleges' graduation rates and other resources tailored to where
students live. The student is always presented with the graduation rates
of his nearest colleges, his state's flagship public university,
other in-state selective colleges, and a small number of out-of state
selective colleges.
Even with this information, some students may focus unduly on
colleges' "list prices" (the tuition and fees that an
affluent student who received no aid would pay) and fail to understand
that net costs for students like themselves are much lower. Many
low-income students may not realize that they would generally pay less
to attend colleges that are more selective and have richer instructional
and other resources.
ECO-C therefore provides students with information about net costs
for low- to middle-income students at an array of colleges. This
information is again semicustomized in that a student always receives
the list prices, instructional spending per student, and net costs of
his state's public flagship university, at least one other
in-state's public college, nearby colleges, a selective private
college in his state, one out-of-state private liberal arts college, and
one out-of-state private selective university. The net-cost information
is shown for hypothetical families with incomes of $20,000, $40,000, and
$60,000.
The net-cost materials are not intended to give a student precise
information but, rather, to demonstrate the fact that list prices are
often substantially greater than net costs, especially at selective
institutions. The materials emphasize the importance of application as a
student will not learn exactly how much a given college will cost him
unless he applies. The net-cost materials also explain how financial aid
works, emphasize how crucial it is to complete the FAFSA and CSS Profile
on time, clarify how a student's Expected Family Contribution is
computed, decipher a typical financial aid offer, and illustrate the
trade-offs between loans, grants, and working while in college.
Finally, some low-income students may be deterred from applying to
college by application fees. Such students may fail to realize that
application fee waivers are available to them, or they may balk at
filling out financial aid forms that will reveal their family income to
a counselor. Or counselors may be too busy to do their part of the fee
waiver process. ECO-C therefore provides students with no-paperwork fee
waivers that allow them to apply to 171 selective colleges.
Data and Methods
In our main experiment, we randomly assigned each of 3,000
high-achieving, low-income 2011-12 high school seniors to the ECO-C
Intervention and the same number of students to the control group. To be
defined as high-achieving, we required that students score in the top 10
percent of test-takers on the College Board's SAT I or the ACT
(1,300 math plus verbal on the SAT, 28 on the ACT).
We identified low-income students by combining student data from
the College Board and ACT with data from an array of sources that allow
us to estimate whether a student comes from a low-income family. We
started with data that contain a student's SAT I or ACT scores,
neighborhood, and high school. We then matched each student to 454
additional variables that describe the sociodemographics of his
neighborhood, the sociodemographics and other characteristics of his
high school, the history of college application and attendance among
former students of his high school, the scores of former students of his
high school on college assessments and statewide high school exams, and
incomes in his zip code. We used all of this information to produce an
estimate of each student's family income. We then focused our
analysis on students with estimated family incomes in the bottom
one-third of the income distribution for families with a 12th grader.
Finally, we exclude from our main analysis students who attended a
"feeder" high school, which we define as one in which more
than 30 students in each grade typically score in the top 10 percent on
college assessment exams. We focused on high-achieving, low-income
students from nonfeeder schools because we hypothesized (and the early
data confirmed) that they would be more affected by the ECO-C
Intervention than students who attend a high school with a critical mass
of high-achieving students.
To study students' responses to the ECO-C Intervention, we
obtained two sources of data on their application behavior, admissions
outcomes, and college enrollment. First, we surveyed students each
summer after they were selected for an ECO treatment or control group.
Second, we collected information on their enrollment, persistence, and
progress toward a degree from the National Student Clearinghouse. These
data are reported by postsecondary institutions and cover 96 percent of
students enrolled in colleges and universities in the United States.
In a large randomized experiment such as this, we can estimate the
effect of receiving the intervention by simply comparing the average
outcomes of the treatment and control groups. We present the results of
these comparisons in two different ways. First, we present some
"intent to treat" results that compare outcomes for the
treatment and control groups, regardless of whether they actually
experienced the intervention. Second, we discuss in full the
intervention's effects on the 40 percent of students surveyed who
could recall ever seeing ECO materials. We believe the latter results
are more relevant for policy because a scaled-up version of the ECO-C
Intervention would likely attract more attention from students and their
families if it came from a widely known organization such as the College
Board or ACT.
Effects of the ECO-C Intervention
The ECO-C Intervention has substantial effects on students'
behavior at each stage of the process of applying to and enrolling in
college. For example, we find that the ECO-C Intervention causes an
increase of 19 percent in the number of applications students submit
(see Figure 2). It increases by 22 percent the likelihood that they
apply to at least one peer college, which we define here as a college
with students whose median SAT scores are within 5 percentile points of
the applicants' own scores.
Seeking the Right Match (Figure 2)
The ECO-C Intervention led high-achieving, low-income students to
apply and gain admission to more colleges and, more importantly,
to more colleges with similarly qualified students.
Percent increase
Number of Probability of applications submitted 48%
Probability of applying to a peer college 56%
Number of colleges to which admitted 31%
Probability of admission to a peer college 78%
NOTE: The figure shows estimated treatment effects for students who
recalled seeing the ECO-C Intervention materials. Each estimate is
statistically significant at the 99 percent confidence level. Peer
colleges enroll students whose median SAT scores are within 5
percentile points of the applicant's own score.
SOURCE: Authors' calculations
Note: Table made from bar graph.
Still, these results likely represent a lower bound on the
effectiveness of the program. Many of the students may have disregarded
the mailings as they did not recognize the ECO organization. We expect
that the effectiveness of the program would have been greater had the
materials been distributed by a well-known organization such as the
College Board or ACT. Indeed, based on our surveys, roughly 60 percent
of students assigned to receive ECO intervention materials could not
recall receiving them. To the extent that students disregarded the
materials, the effects of the program were diminished. To correct for
this, we perform what economists call a "treatment on the
treated" analysis to produce estimates of the effects that a
trusted organization such as the College Board or ACT would achieve were
it to conduct the intervention. Thus, if a student could at least recall
having seen ECO materials, the ECO-C Intervention caused her to increase
the number of applications submitted by nearly 48 percent and be 55
percent more likely to apply to a peer college. In the text and figures
that follow, we focus on the estimates that adjust for the likelihood of
exposure to the materials.
Because the students targeted by the ECO program have high college
assessment scores and grades, we expected that they would be admitted to
more-selective colleges if the intervention did, in fact, cause them to
apply to such colleges. This expectation was correct. Students receiving
the ECO-C intervention were admitted to 31 percent more colleges and
were 78 percent more likely to be admitted to a peer college.
It is not obvious that the ECO-C Intervention should have affected
college enrollment outcomes simply because it affected the colleges to
which students applied and were admitted. After all, a student might be
willing to invest the time and effort to apply to a college in order to
learn about it and the financial aid package it would offer. The same
student might, upon receiving this information, decide that the college
was, after all, not for him.
But the ECO-C Intervention did, in fact, alter students'
enrollment decisions (see Figure 3). Students receiving the ECO-C
materials enrolled in a college that was 46 percent more likely to be a
peer institution, with a graduation rate 15 percent higher,
instructional spending that was 22 percent higher, and student-related
spending that was 26 percent higher.
... and Finding It (Figure 3)
Students who recalled seeing the ECO-C Intervention materials were
substantially more likely to enroll in peer institutions and in
institutions with higher graduation rates and more spending on
instruction.
Percent increase
Probability of enrolling in a peer college 46%
Graduation rate of college attended 15%
Instructional spending at college attended 22%
Student-related spending at college attended 26%
NOTE: The figure shows estimated treatment effects for students
who recalled seeing the ECO-C Intervention materials. Each estimate
is statistically significant at the 99 percent confidence level.
Peer colleges enroll students whose median SAT scores are within
5 percentile points of the applicant's own score.
SOURCE: Authors' calculations
Note: Table made from bar graph.
Finally, we test whether students who attended more-selective
colleges as a result of the ECO-C Intervention struggle in the more
demanding environment. Although it is too soon to address this issue
definitively, our preliminary results provide little cause for concern:
despite being in a more competitive environment, these students earn
similar grades and persist to the sophomore year at similar rates to
those of their peers who did not receive the ECO-C intervention and
attended less-selective colleges.
More Experiments
In addition to our main experiment testing the ECO-C
Intervention's effects on our target group of high-achieving,
low-income students, we also used the same approach to study its effects
on students who meet the same test-score criteria but who have estimated
family income above the bottom one-third or attended a feeder high
school. Although these students are outside our target group, this
enabled us to test whether the effects of the ECO-C Intervention are
different for the target students than for nontarget students. And, in
fact, the results of this separate experiment confirmed that ECO-C
generally had larger effects on our target group than on these other
high achievers.
We also randomly assigned three groups of 3,000 students who met
the criteria for our target group to receive just one of the three ECO-C
components (application guidance, information on net costs, or fee
waivers) rather than all three. This allowed us to test whether some
parts of the ECO-C Intervention were more important than others. We
found that the fee waivers tend to have larger effects on application
behaviors, whereas the application guidance information tends to have
larger effects on enrollment behaviors. The bottom line, however, is
that the ECO-C Intervention as a whole tends to have larger effects than
any of its parts. We therefore see no reason why an intervention based
on our results should not incorporate all three components.
Costs and Benefits
The costs of the ECO-C Intervention are quite modest: approximately
$6 per student to whom we sent materials. Because 60 percent of students
could not recall looking at the materials (our minimal definition of
treatment), the cost of actually treating a student was $15. We believe,
however, that a reputable organization like the College Board or ACT
could achieve a cost of treatment of approximately $6 simply because
mail from such an organization would likely be opened and at least
cursorily reviewed. Such an organization would presumably also have
lower mailing and in-house printing costs than our small experimental
organization had.
Even without those advantages, the benefits our intervention
produced far exceeded its costs. For every $10 we spent, the ECO-C
Intervention caused students to apply to four more colleges and to be 51
percentage points more likely to apply to a peer college. The same $10
caused students to enroll in colleges where graduation rates were 13
percentage points higher, instructional spending was $5,906 greater, and
median SAT scores were 65 points higher. A growing body of evidence
suggests that these differences in college quality will translate into
substantial differences in the college graduation rates and lifetime
earnings of the students who received the ECO-C Intervention.
The most prominent alternative strategy for influencing
college-going behavior of low-income students, in-person counseling,
typically costs upwards of $600 per student. Thus, in order to be as
cost-effective as the ECO-C Intervention, such interventions would need
to have effects that are at least 100 times as large. Needless to say,
no existing in-person counseling interventions have been demonstrated to
have this sort of impact.
It is worth noting that the ECO-C Intervention is likely a much
more cost-effective means of changing students' college-going
behavior than reducing the cost of college through tuition reductions,
grants, and other forms of aid. Importantly, the successful provision of
information related to college choice through initiatives like ECO-C is
likely to magnify the return to existing federal and state aid policies,
while the return to high-cost interventions such as expanding the Pell
grant program is likely to be very limited unless students possess
sufficient information about college alternatives.
Conclusions
Using random assignment of thousands of students, we successfully
demonstrated that a low-cost, fully scalable intervention can help many
high-achieving, low-income students recognize their full array of
college opportunities. The ECO-C Intervention leads students to apply to
and enroll in colleges with higher graduation rates, greater
instructional resources, and curricula that are more geared toward
students with very strong preparation like their own. Put another way,
the ECO-C Intervention closes part of the college-going behavior
"gap" between low-income and high-income students with the
same level of achievement. The high-achieving, low-income students who
are induced to attend more-selective colleges do not earn lower grades
than they would if they had enrolled at the less-selective colleges
attended by the control students. Under any reasonable assumptions about
the value to these students of attending a more-selective college, the
benefits of the ECO-C Intervention far exceed its costs.
The social benefits of the ECO-C Intervention are harder to define
in dollar terms, but they are the benefits associated with increased
income and sociodemographic mobility for high-achieving students from
low-income families. For instance, such students may "pave the
way" to selective colleges for other students from their high
schools or neighborhoods. Or, such students may inspire other low-income
students to study more because their experience makes the benefits of
high achievement more salient.
We are often asked why some large-scale intervention akin to the
ECO-C Intervention does not already exist. Our answer is twofold. First,
the database capabilities that power the intervention (but are extremely
inexpensive per student) did not always exist. Second, no one
postsecondary institution has the incentive to implement such an
intervention, since many of the benefits would accrue to its
competitors. That is, the benefits ECO-C Intervention produces are
largely of a public nature. Thus, a natural host for such an
intervention would be a consortium of colleges and universities or a
related organization with social goals.
Caroline Hoxby is professor of economics at Stanford University.
Sarah Turner is professor of economics and education at the University
of Virginia.