Counting economics PhDs: how many new graduates do U.S. universities produce?
Finegan, T. Aldrich
Despite the many studies of the production of new economists, it is
surprising that so little is known about the persistent differences in
how many are graduated, as reported by different sources. For the decade
from 1996-97 to 2005-06 (our "study decade"), the Survey of
Earned Doctorates (SED) reported 11,524 new economics graduates
(including those with specialty degrees), compared to 10,812 reported by
the Integrated Postsecondary Education Data System (IPEDS) and 8,862
doctoral dissertations listed in the Journal of Economic Literature
(JEL). After specialty degrees are dropped, the comparable numbers in
general economics are 9,504, 8,534, and an estimate (ours) of 7,856
degrees. So far as we are aware, this is the first paper to explore the
reasons for these differences and attempt to reconcile them. (2)
There are several reasons why such differences matter. Given the
resources devoted to training new PhDs, the size of entering cohorts,
and the quality of graduate education, a larger output implies more
efficient production. Second, a better estimate of annual output will
permit a better assessment of the balance (or imbalance) between supply
and demand in the market for new graduates. Third, for economists who
track the output of new PhDs, there is some value in knowing which of
the two main data sources (SED and IPEDS) turns out numbers that are too
large, which are too small, and where in between an accurate count
likely falls. Fourth, this study finds that about 14 percent of the
dissertations written each year in general economics are never listed in
the JEL, reducing the value of these listings to scholars. Finally, we
also find that large programs tend to underreport degrees to IPEDS.
Since output is often used as a predictor of program rank, if such
programs also underreport output to the organizations and researchers
that create program rankings, then the latter may be biased downward for
some departments.
In the course of seeking a more accurate count of the doctoral
graduates of economics departments, this paper identifies some general
economics PhD programs that have been misclassified by IPEDS as
business/managerial economics programs, explains why some graduates of
interdisciplinary programs and business schools mark
"economics" on the SED survey as their primary field of
graduate study, and identifies the economics departments with the
largest deficits in dissertation listings submitted to the JEL.
In Part I we offer essential information on the data collection
procedures of our three data sources. Part II presents a preliminary
analysis of the degreecount gaps from these sources, appraises the
elusive contribution of interdisciplinary and business doctoral degrees
to the SED-IPEDS gap, investigates the undercount of general economics
(GE) degrees by IPEDS, and looks for the sources of the huge IPEDS-JEL
gap in total economics PhD degrees as well as the smaller but more
worrisome JEL deficit in GE degrees. It concludes with an adjusted
estimate of the output of GE degrees during our study decade.
Part III summarizes the findings. It also offers recommendations to
the NSF that would make the data from the three sources more comparable
and improve the accuracy of NSF data on first-year enrollments of PhD
students.
The paper concludes with an Epilog that offers preliminary evidence
on the extent of underreporting and inaccessibility of dissertations
awarded in five other social sciences.
I. Data Sources and Collection Procedures
A. The Survey of Earned Doctorates (SED)
The SED sends its annual survey to institutional coordinators at
some 420 research-doctorate-granting institutions. These coordinators
are responsible for distributing a form to every student who received a
first doctoral degree in any of 279 fields of study during the academic
year. The coordinators send the completed surveys to the NSF's
survey contractor, the National Opinion Research Center (NORC), for
editing and processing. Since 2001, an alternative procedure for
completing the survey on line has been available.
The SED reports a 92 percent student response rate, with just 21
unidentified institutions accounting for over half of all
nonrespondents. Missing surveys from participating universities are not
a problem here because basic information on these students' degrees
and fields of study can be secured from university records. (3)
The SED asks graduates to identify both their primary field of
dissertation research and their primary field of study for the doctoral
degree, but only the latter responses are used in NSF reports. (4)
Graduates respond with both written answers and by entering the
applicable three-digit code from a two-page list of 279 fields. The only
four that pertain to economics are "economics,"
"econometrics," "agricultural economics," and
"business/ managerial economics." This list is problematic in
several respects.
While 217 graduates marked "econometrics" as their
primary field of study during our study decade, IPEDS reports no degrees
conferred in it! At the same time, IPEDS also reports that 314 degrees
were conferred in other minor specialties, such as applied economics,
international, development, and natural resources-none of which is
listed on the SED survey. (5) Presumably most of these graduates mark
"economics" when they can't find their own specialty.
We recognize that space constraints on the SED survey prevent
listing all specialties there, whereas IPEDS faces no such constraint.
Nonetheless, in Part III we offer an alternative quartet of fields that
would reduce these problems.
B. The Integrated Postsecondary Education Data System (IPEDS)
Each fall, IPEDS gathers information from institutional
coordinators at more than 6,700 schools on numbers of degrees conferred,
by level and highly detailed field. Completion of the surveys is
mandatory for institutions receiving any federal aid. Unlike the SED,
which counts degree recipients, IPEDS draws on administrative data from
school registrars. Within the broad discipline of economics, degrees are
tabulated under "economics, general" (the degrees conferred by
economics departments), two major specialties (agricultural and
business/ managerial economics), and six minor ones. (6)
IPEDS allows universities the most time to collect and report
degrees conferred in each academic year. Nonetheless, any survey that
attempts to count every undergraduate and graduate degree in each of
over 1,100 narrow specialties will occasionally run into trouble.
Notably, data processing problems for the 1998-99 academic year led
IPEDS to withhold publication of degrees conferred by field that year.
But these data were made available to researchers, and we chose to
include them in our study so as to permit cross-source comparisons for a
full decade. Such comparisons suggest that data problems in 1998-99
reduced IPEDS count of degrees in general economics that year by about
70 degrees, or eight percent (see the Appendix).
We also found some cases of program misclassification. Most
involved programs housed in business schools that IPEDS reported under
managerial economics, when curriculum information from the
program's website and administrators convinced us that it was
actually a small program in general economics. For more about these
programs, see Part II, Section B-2.
The SED and IPEDS are both administered by the National Center for
Science and Engineering Statistics (NCSES) of the National Science
Foundation. For more information about the design and quality measures
of each survey, see the three NSF references at the end of the paper.
C. Listings of Doctoral Dissertations by the JEL
The JEL does not offer (nor actively seek) a census of new
economics PhD dissertations. It welcomes all U.S. and Canadian programs,
both general and specialty, that wish to participate. But in soliciting
submissions by U.S. programs in general economics, it tries harder and
has more success.
Early each fall, the AEA's Pittsburgh Office sends e-mail
invitations to all participating programs on its invitation list. The
Fall 2011 list contained 161 programs at 138 North American universities; 145 of these programs were at the 124 U.S. universities on
the list. Twenty-two of these invitations went to major specialty
programs-12 in agricultural economics (AE), 10 in business, management,
and finance (BMF). The other 123 went to programs in general economics
(GE) and a small number of minor specialty programs (such as applied and
international economics).
If the initial request to a program in general economics (or a
minor specialty) elicits no response, more solicitations follow.
Eventually the great majority of these programs reply. Even the few that
do not will receive additional rounds of e-mails in future years. In
contrast, the AE programs on the list that do not respond to the first
e-mail receive fewer follow-ups, and the business schools receive none.
If either specialty continues to ignore JEL requests for several years,
it will be dropped from the list.
It is not clear why or how these 22 major specialty programs first
expressed an interest in submitting at least some of their dissertations
to the JEL. In the case of business schools, perhaps having an economics
department on the same campus-and the opportunity to share in the
teaching of some graduate courses-played a role. The absence from the
list of any business school at a university without an economics Ph.D.
program supports this conjecture.
A further constraint on the number of degrees that participating
business schools submit (and perhaps on which ones choose to
participate) is the implicit understanding that only those theses with
an economics foundation are appropriate for publication by the JEL.
The net result of these differences is that dissertations from both
major specialties are grossly underrepresented in JEL listings. Later,
in Part II-E, we show that degrees in general economics (GE) are also
underreported, but not as much. In practice, the completeness of each
program's submissions depends in large measure on the timely
efforts of overworked departmental administrative assistants and
assistants to the directors of graduate studies, many of whom suffer
from "survey fatigue."
Despite these shortcomings, JEL listings of dissertations have two
important advantages over the more complete degree counts of SED and
IPEDS. First, JEL listings and the JEL codes under which they appear
provide the only published overview, by broad field, of the content of
doctoral research being done in this country. Second, the JEL's
strict requirements that every dissertation entry report its author,
full title, a JEL code, the conferring university, and the month and
year when the graduate's degree was conferred all combine to
virtually guarantee its authenticity. Yet, Siegfried and Stock ran
across a few listed graduates in two graduation cohorts who had not
completed their degree. One adviser reported, "he has not earned
his PhD and never will!" (7)
II. Empirical Findings
A. Introduction
Table 1 assembles annual data from SED, IPEDS, and the JEL on
economics doctorates conferred by U.S. universities for AYs 1997 through
2006-our study decade, for short. (8) The differences in grand totals
(including all specialty degrees) for the decade from the three sources
are substantial.
The SED-IPEDS gap, the smallest of the three, is 712 degrees. When
we compare the two distributions by program kind in Table 1, we see that
the two sources report nearly identical numbers of degrees in
business/managerial economics, while IPEDS's tally of agricultural
economics degrees is 150 degrees larger. If the 217 degrees that SED
reports in econometrics were the only minor specialty graduates in its
overall count, then the SEDIPEDS gap in general economics (GE) would
appear to be nearly one thousand degrees (970, to be exact). That is the
difference between SED's tally in "economics" and
IPEDS' tally in "general economics."
But that inference assumes no classification errors in either
count. It also overlooks the possibility that some graduates of
interdisciplinary programs and business schools might also contribute to
this gap. We address these issues in the first two sections that follow.
B. A First Attempt at Reconciling the SED-IPEDS Gap in General
Economics Degrees
Here we try to reconcile the GE totals reported by SED and IPEDS.
Adjustments are limited to adding, deleting, and reclassifying the
degrees in each data source. Much of this reassembly draws on data by
university. IPEDS totals and group subset tallies by school are
conceptually consistent with the totals and subtotals in Table 1. For
SED, however, the only university counts available include degrees in
agricultural economics. We attempt to adjust these counts for this
inconsistency, but the corrections are only approximate.
1. Adjustments to the SED count of 9,504 degrees in
"economics". The SED "economics" group in Table 1 is
dominated by graduates of economics departments, but it also contains
most graduates of the minor specialty programs that IPEDS combines into
a separate category. In the same table, IPEDS shows a decade tally of
314 such degrees, but only 293 came from universities reporting at least
one doctorate to at least one data source in this study. To avoid an
over-correction, we further reduced SED's specialty program degree
count to 246, so that the sum of specialty degrees at each university
did not exceed the total number of economics graduates reported for that
school by SED.
Given that the graduates of minor specialty programs have no
appropriate "box" to check on the SED survey, they presumably
check "economics" instead. So the SED and IPEDS tallies of
general economics degrees in Table 1 would be more comparable if we
reduced SED's "economics" total by these 246 specialty
degrees.
Next, as explained earlier, the 217 graduates that the SED lists in
"econometrics" must have earned their degrees elsewhere. Since
the other listed specialties are unlikely homes, these graduates
probably graduated from plain vanilla economics departments. So we move
them from econometrics to economics.
Finally, we found 31 universities with at least one economics
degree reported by SED during the decade, but none by IPEDS in
"general economics". These schools fall into three subsets.
(a) The first contains 22 small to mid-size universities for which
SED reported only one, two, or three economics graduates. So far as we
can tell, none of these schools had a doctoral program in any kind of
economics during that decade. (9) Since SED logged 30 economics degrees
for all 22 combined, we deduct an additional 30 degrees from the SED
"economics" total in Table 1.
(b) There are another six schools with programs that, based on
their website information, we consider "applied economics."
Together they awarded 83 degrees, according to SED. (10) Because none of
these programs was classified as general economics by IPEDS, we also
subtract their degrees from SED's count in "economics."
(c) The last subset consists of three schools for which SED
reported 41 degrees, very likely in "economics," but which
were actually earned in specialty programs. (11) The members of this
trio were Cal Tech, with a multidisciplinary PhD in Social Sciences that
includes a highly ranked track in economics; the University of Missouri
at Kansas City, with a long-standing program in institutional and
post-Keynesian economics; and the University of New Orleans, with a
specialty program in financial economics. We also deduct these degrees
from SED's total in "Economics."
2. Adjustments to IPEDS' tally of 8,534 degrees in general
economics. There are just three. The problems leading to the first two
were discussed earlier in Part I, Section B.
First, owing to tabulation problems in AY 1999, we would increase
IPEDS' unpublished estimate of GE degrees that year by 70. (See the
Appendix for the derivation of this estimate.)
Second, seven universities had programs that IPEDS classified as
business/managerial economics, but we consider general economics. With
estimated study decade output in parentheses, these were Auburn (30
degrees in 1997-2001, program then closed), Georgia (35), Miami of
Florida (13), Oklahoma State (44), Tennessee (38), West Virginia (56),
and Wyoming (21). The combined total is 237 degrees, which we add to
IPEDS' GE count. (12)
The last adjustment involves 19 dissertations reported to JEL
during AYs 2005 and 2006 from a start-up GE program at Clemson
University. These also belong in IPEDS' GE column.
3. To sum up. The results of these adjustments are to reduce the
SED count for "economics" from 9,504 degrees to 9,321, while
increasing IPEDS' count for "general economics" from
8,534 to 8,860. The net effect is to narrow the published SED-IPEDS GE
gap from 970 degrees to 461. (13)
C. Do New Doctorates from Interdisciplinary Programs and Business
Schools Add to the SED-IPEDS Gap?
We already know that a newly minted PhD does not need a degree in
economics to mark "economics" as his or her major field of
study on the SED survey. Might enough graduates of interdisciplinary
programs and business schools do so to contribute significantly to the
SED-IPEDS gap?
There are at least six interdisciplinary (ID) specialty programs
that typically include some empirical economics in their curriculum:
area studies (e.g. Latin American), public policy analysis, urban
studies, labor and industrial relations, human resources management, and
international business. Fifty of the 102 universities that reported GE
degrees to all three of our data sources also had a doctoral program in
one of these ID fields. During our study decade, these universities
conferred 2,440 doctorates in all six fields combined, along with close
to 7,000 economics PhDs.
Likewise, nearly all doctoral programs in business require work in
business finance that includes some economic theory and applications,
and students who write dissertations in business finance learn much
more. It seems likely that some of these graduates might choose
economics as their major field. (Financial economics is not listed on
the survey, although finance is.)
Seventy of the 102 universities with PhD-granting programs in GE
also housed a doctorate-granting business school, and together they
conferred a whopping 6,460 degrees in business, management and finance
(BMF)-minus those in managerial economics, which is an economics
specialty, and in accounting.
Unfortunately, we cannot identify (and count) the specific
graduates in these programs who adopted economics as their primary field
of graduate study. But we can see whether universities with more
graduates from these programs had larger SED-IPEDS surpluses (or smaller
deficits). (14)
To appraise the evidence, we employ an OLS multiple regression
using the 102 universities as observations. The dependent variable is
the university's adjusted SED-IPEDS gap in GE doctorates. The main
predictors are two sets of dummy variables. The first contains four size
groups of ID degrees; the other, four size groups of BMF degrees. A
school is coded "1" if the number of degrees it conferred of a
particular kind fell in the specified size interval, zero otherwise. For
each set, schools with no such program are the reference group. (15)
We have added three independent variables. The first is QJEL, the
number of dissertations from each university that were listed in the JEL
during our study decade. This variable serves as a control from a source
unrelated to SED and IPEDS on the output of new degrees at each
economics department. (We discuss shortly why departmental output might
matter.)
The second is AG, a dummy variable equal to 1 if the university
also had a program in agricultural economics (AE), zero otherwise. As
noted earlier, we adjusted SED-reported degree counts downward by the
output of AE degrees, as reported by IPEDS. Unfortunately, this downward
adjustment was, on average, about ten percent too large. Since AG is
intended to capture how this over-adjustment influenced GAP, its
expected sign is negative.
The last addition is another dummy variable, USP, coded one if the
school had a minor specialty program, and zero otherwise. Since none of
these programs is listed on the SED survey, we expect most graduates to
choose "economics" instead. The result is to overstate the
SED-IPEDS GE gap in the six universities of our sample with such
programs, so USP should have a positive sign.
The results of the multiple regression appear in Table 2. The
intercept predicts that a university with no specialty program and a
very small GE program would have a SED deficit of four degrees. Most ID
size groups have positive coefficients, but these are unrelated to group
size and have by-chance probabilities that average 70 percent! The BMF
coefficients rise with group size from "Small" to
"Mid-Size" to "Large", which is barely significant
at five percent-only to plummet to nearly zero for the 18 schools with
an "Extra Large" number of these degrees. That plunge suggests
that numbers of degrees are not the whole story here.
The extent to which economic theory is integrated into the business
school curriculum and members of the economics department share in
teaching its courses may be a more important influence on how many BMF
graduates mark "economics" on their SED surveys. Scanning the
entire list of business schools in this regression, we see that most of
the elite programs have relatively large SED-IPEDS surpluses, and
several are known for the important role of economic theory in the
curriculum. So a careful study might find that the graduates of such
programs do account for a small but significant fraction of the overall
SED-IPEDS gap. (16)
AG and USP have the predicted signs but are not statistically
significant. QJEL is the only highly significant predictor. Its 0.072
regression coefficient (with a t-value of 4.00) tells us that an
economics department reporting one hundred additional dissertations (ten
more per year) would be predicted to have a SED surplus larger by seven
degrees.
Why should the spread between SED and IPEDS counts of GE degrees
widen systematically with program size? One possibility is that larger
economics PhD programs, which are also more likely to be higher ranked,
tend to attract more ID and BMF graduates to mark "economics"
on their SED surveys. Alternatively, as the output of new economics
degrees rises across universities, a few more of these economics
graduates may be recorded by SED than by IPEDS. While both conjectures may have merit, we think that the second is more important empirically.
The first story would be weightier if the empirical link between
numbers of ID and BMF degrees and the SED-IPEDS gap were not so weak. If
QJEL is picking up mostly specialty-program graduates, how could the
additional number marking "economics" at a school be so
significant, yet so small relative to additional department output, when
the total number of specialty degrees varies so widely across
universities and has so little association with GAP? (17) In other
words, how could the output of economics degrees matter so much when the
number of specialty degrees matters so little?
On the other hand, there is a more plausible reason why larger
economics departments might be associated with larger SED surpluses of
their own graduates. As reported earlier, degree information about the
few graduates who do not return SED surveys to institutional
coordinators can be obtained from internal university records. In
contrast, so far as we know, IPEDS has no fallback source of information
on the few new completers that graduate school registrars may have
missed. So even a slightly higher reporting rate by SED would result in
a larger SED-IPEDS gap in larger economics departments.
The regression coefficient for QJEL is robust to whether or not the
ID and BMF predictors are included in the all-university regression, but
not to large changes in the number and composition of schools within it.
When we dropped all 70 universities with business schools, the QJEL
regression coefficient fell to 0.027 and lost statistical significance
(t = 1.14). That might be seen as evidence that business school
graduates were making most of the economics "adoptions" on the
SED. But it turns out that the remaining 32 schools have mostly smaller
economics departments and much smaller variances in both output and GAP.
(18) So comparing the results of the sub-sample run with those of the
overall regression cannot inform us about the separate effect of either
business schools or program size on the SED-IPEDS gap.
Conclusion. For every ten economics PhDs conferred by U.S.
universities during 1997-2006, the same universities also awarded about
six doctorates in business and 2.3 in interdisciplinary programs with
some economic content. Our multiple regression finds only marginally
significant evidence of a positive association between the number of BMF
degrees that a university conferred and the size of its SED-IPEDS gap in
general economics, and hardly any association between its output of
interdisciplinary degrees and that gap.
We do find a highly significant positive association between the
number of economics doctorates from a university (as measured by its JEL
listings of dissertations) and its SED-IPEDS gap. Most of the additional
surplus of SED-counted degrees probably consists of graduates of
economics departments. While lack of supporting evidence precludes
assigning shares by source to this flow, later we offer a conservative
estimate of how many of these degrees can be imputed to those
departments (see Part II-G).
D. The Huge IPEDS-JEL Gap in All Program Degrees
Much larger but less puzzling than the SEDIPEDS surplus in general
economics degrees is the nearly 2,000 degree chasm between the all
program total degree count from IPEDS and the JEL dissertations count.
The respective ten-year sums, before any adjustments, are 10,812 and
8,862. About two-thirds of this difference can be attributed to the
under-representation of specialty program dissertations in the JEL.
Whereas IPEDS recorded 2,278 PhDs from specialty departments (both major
and minor) during the study decade, we estimate that only about 1,000 of
their theses appeared in the JEL. (19) The reasons for this
under-representation were explained in Part I-C.
The remaining third of the difference resides in the gap between
IPEDS ' count of general economics degrees and our estimate of GE
theses published by the JEL. To that we now turn.
E. The Smaller IPEDS-JEL Gap in Degrees from Economics Departments
Over our study decade, IPEDS reports that 8,534 doctorates were
conferred in GE, whereas we estimate that 7,856 of the dissertations
listed in the JEL were earned in economics departments-a difference of
678 degrees. As a shortfall in total GE degrees earned, this difference
is surely too small.
Earlier we found that IPEDS missed about 326 GE degrees. Adding
them to its tally would raise it to 8,860 and the JEL deficit to 1,004.
On the other hand, the adjusted gap is only approximate because we were
able to obtain an actual count of JEL submissions by kind of program
only for academic years 2006 through 2009. (20) During these four years,
88.6 percent of all JEL submissions from U.S. universities came from
economics departments. Assuming that the same fraction applied to
earlier years, we applied it to the total number of JEL listings for
1997-2005, and then tacked on the actual tally for 2006. That yielded
the spuriously precise estimate of 7,856 GE dissertations.
While a substantial margin of error attaches to any estimate of the
deficit of submissions from economics departments to the JEL, any in the
vicinity of one thousand theses over a decade calls for an investigation
of its causes.
F. Why Is There So Large a Deficit in JEL Submissions, Yet Two
Subsets with Surpluses?
1. The net deficit. In light of the collection efforts described in
Part I-C, the source of the deficit would seem to lie with some
participating departments that fail to report all of the degrees that
they conferred in the previous academic year. Table 3 lists the eleven
universities with JEL submission deficits of 20 degrees or more,
compared to IPEDS' count of GE degrees, during AYs 1997-2006. (21)
All together, these schools evidently approved at least 350
dissertations that were never listed in the JEL.
Nearly all these doctoral programs are well known. Five were ranked
in the top two tiers of the NRC's 1993 quality of faculty rankings,
and three in the third tier (National Research Council, 1995).
Northwestern's eye-catching deficit of 81 degrees is so large
that we attempted to look into it. By sheer luck, we found an
unpublished report on the economics department's website that
tabulated the economic progress of the 230 students who had entered its
economics PhD program from fall 1994 through fall 2003. Two-thirds of
them (154) had received their degree by 2010, and 80 percent of the
completers had finished in five or six years. (22) Had
Northwestern's program been in steady-state equilibrium, it would
have been enrolling about 23 students a year and graduating about 15.
Given the considerable overlap in the entering classes of this
decade-long cohort and those who graduated in 1997-2006, it is very
unlikely that Northwestern would have had only 67 dissertations to
report for the latter decade. The IPEDS count of 148 appears to be much
nearer the mark. (23)
Part of the 350-degree JEL deficit in Table 3 might result from an
IPEDS over-count of these degrees--due, perhaps, to errors in tabulation
or classification. Were that true, we would expect to find smaller
deficits if we used adjusted SED counts of economics degrees instead of
IPEDS GE counts as a benchmark. (The two sources use such different
counting procedures that sizeable errors in the same direction by both
sources at the same school are highly unlikely.)
It turns out that at six of these universities, the re-estimated
JEL deficit was either the same or differed by only one or two degrees.
In all of the other five, the SED-based deficits were larger than the
originals-by four degrees at Hawaii-Manoa, six at Duke, 14 at Yale, and
27 at both Northwestern and Penn. (24) Therefore, the IPEDS over-count
hypothesis is not supported.
Besides the eleven schools with a combined JEL deficit of 350
degrees (relative to IPEDS), another 17 reported deficits of 10 to 19
degrees each and a total of 223. For the two lists combined, the total
deficit is 573 degrees.
2. Unexpected JEL surpluses. That there are subsets with JEL
surpluses may come as a surprise. In fact, there are thirteen
universities with surpluses of 20 or more dissertations (relative to
IPEDS GE counts) and a combined surplus of 674 degrees! (25) The
explanation is that twelve of these universities had specialty programs
in agricultural economics, three had business schools, and two had both.
All were solicited by the JEL, and all delivered dissertation lists.
Since IPEDS GE counts excluded these specialty degrees but SED counts
did not, the JEL surplus is easily explained.
The presence of large surpluses at some universities does not
offset or mitigate shortfalls at others, since the two imbalances arise
for different reasons. Nor does a surplus imply full reporting of theses
by the economics department at that school. It tells us only that any
underreporting of GE theses is more than offset by the addition of
specialty degrees.
As expected, most universities with no JEL-solicited specialty
degree programs have JEL deficits in GE degrees, although many are quite
small. Yet we found eight such schools with JEL surpluses totaling 48
degrees. It is highly doubtful that these surpluses reflect
over-reporting of degrees by economics departments to the JEL. A
shortfall in the IPEDS count of GE degrees is far more likely.
Were that so, the adjusted IPEDS-JEL degree gap would widen by 48
degrees, while the adjusted SED-IPEDS degree gap would narrow by the
same margin.
G. How Many General Economics Degrees Were Conferred During Our
Study Decade?
Our estimate is 9,128 degrees. Table 4 shows the baseline
IPEDS' GE total from Table 1 and lists the specific adjustments
leading to this estimate. All but the last were explained earlier in the
paper. The final adjustment is an extension of our findings in Part II,
Section C, on the elusive contribution of new graduates from
interdisciplinary programs and business schools to the SED-IPEDS gap in
GE degrees.
The reader will recall the puzzle discussed in that section about
the origin of the additional graduates in that gap associated with
larger economics departments, as measured by QJEL. We concluded that
most of these graduates had degrees from economics departments, rather
than from ID programs and business schools; but we could not assign
shares by source. We can, nonetheless, derive a conservative estimate of
the number of additional graduates from GE programs picked up by SED but
missed by IPEDS.
The starting point is the regression coefficient for QJEL of 0.072
(t=4.00) shown in Table 2, which predicts that an additional hundred
theses reported to the JEL would be associated with a SED-IPEDS gap
larger by 7.2 degrees. The range of QJEL values across the 102
universities in our sample stretches from 2 to 326, but we would not
expect this coefficient to apply to the entire range. Below some level,
the number of degrees is so small that IPEDS is unlikely to miss any of
them. And above some level, output is so large and variable that the
association between degrees and gap is unpredictable. There, BMF degrees
may fill part of the gap.
So we have constrained the interval of QJEL values in this test to
run from 30 degrees to 149, where the mean of the full distribution is
81.6 and the standard deviation is 68.2. Two-thirds of the 102 schools
fell within this interval, and together they conferred 4,586 PhDs during
the study decade.
Finally, we assume that only two-thirds of the additional 7.2 SED
degrees associated with 100 additional JEL dissertations came from
economics departments. Hence, the additional number of IPEDS degrees
imputed to these departments works out to 220 (0.667*0.072*4,586=220),
an increase of about five percent.
This final adjustment in Table 4 is the second largest and the most
tentative, and its inclusion makes the final adjusted total degree count
equally tentative. Further, this total applies to a decade that ended
seven academic years ago. As a guidepost for approximating similar
adjustments in later years, our estimate of GE degrees lies about
three-fifths of the way between IPEDS' smaller reported total for
"general economics" and SED's larger reported total for
"economics".
III. Findings and Recommendations to the NSF
A. Findings
1. During the decade from AY 1997 to AY 2006, our three data
sources reported substantial and persistent differences in the numbers
of economics PhDs conferred. These variations arise from differences
across surveys in their scope and objectives, their sources of
information and response rates, and their classification frameworks and
procedures. Each survey faces challenges but also has unique advantages.
2. Before adjustments, SED reported 970 more degrees in (core)
"economics" than IPEDS reported in "general
economics." After adding, deleting, and reclassifying degrees in
each source, the SED surplus shrinks by about one-half, to 461 degrees.
3. There is no systematic, statistically significant evidence that
universities conferring more doctorates in interdisciplinary specialty
programs with economic content or in business schools have larger
SED-IPEDS surpluses. But there is fragmentary evidence of larger
surpluses at universities with elite business schools where economic
theory is integrated into the curriculum. Some graduates of such schools
may therefore be marking "economics" on their SED surveys as
their primary field of graduate study.
4. As one moves up the output ladder of economics departments as
measured by JEL dissertations, an additional 100 listed theses during
our study decade is associated with a SED-IPEDS gap that is seven
degrees wider. The most likely explanation for this highly significant
association is that SED has backup information on those few graduates
who do not return surveys, whereas IPEDS lacks such information on the
few graduates who are overlooked by graduate registrars.
5. We estimate that only about 11 percent of all JEL listings are
from specialty economics programs, compared to 18 percent of SED degrees
and 21 percent of IPEDS degrees. The main reason is that while the JEL
actively seeks a complete listing of new dissertations from all economic
departments, it solicits submissions only from those specialty programs
on the same campus that have shown an interest in participating.
6. At least one fourth of economics departments underreport new
dissertations to the JEL. The eleven departments with the largest
deficits relative to IPEDS-GE accounted for 35 percent of the total
shortfall of about one thousand degrees during 1997-2006. (IPEDS'
count also fell short, as the next finding reveals.) The loss is large
enough to reduce the value of JEL lists to users. The value of EconLit
is also reduced, because only the dissertations listed in the JEL are
included in EconLit's database. Since full reporting depends on the
voluntary efforts of overworked departmental staff, a solution to this
problem is not obvious.
7. After adjusting IPEDS data for various omissions (see Table 4),
we estimate that U.S. universities conferred 9,128 degrees in general
economics during our study decade. This total lies about three-fifths of
the way between the smaller reported total from IPEDS (8,534) and the
larger reported total from the SED (9,504).
B. Recommendations to the National Science Foundation
1. Listing economics specialties on the SED Survey. As noted
earlier, the SED lists only four fields of economics degrees on its
survey: "Economics" and "Econometrics" under Social
Sciences; "Agricultural Economics" under Agricultural
Sciences/Natural Resources; and "Business/Managerial
Economics" under Business Management/ Administration. We recommend
(a) that "Economics" be renamed "General Economics";
(b) that "Econometrics" be replaced by "Other Economics
Specialties," and (c) that all four fields be listed under Social
Sciences, and in the following order: "General Economics",
"Agricultural Economics", "Business/Managerial
Economics", and "Other Economics Specialties".
Econometrics should be dropped because no degrees have been
conferred in that specialty for over two decades, while other minor
specialty programs turn out 20 to 45 graduates per year who are left
homeless on the survey. The suggested changes would make the major
specialty degrees easier for their graduates to find on the survey,
would create an "other" category for the real minor
specialties, and would increase the comparability of IPEDS and SED data
on how many economics PhDs are earned in economics departments.
2. Improving data on first-time full-time (FTFT) enrollments of
graduate students, by discipline. (26) These statistics report numbers
of first-year students entering graduate programs in a large number of
disciplines, including economics and agricultural economics, after
deducting part-time students and those who entered a graduate program at
the same university earlier. (The deductions are very small for doctoral
students in economics.) Unfortunately, these data do not distinguish
between first enrollments in Master's degree programs and in PhD
programs. As a result, lagged FTFT enrollments are a flawed predictor of
changes over time in the supply of new PhDs.
According to an NSF project officer, the rationale for aggregation
is that many students beginning graduate studies in a field do not know
how far they want to pursue them, which is true. Nonetheless, the degree
offered by a given graduate program, unlike the different (and shifting)
goals and plans of the enrollees, is an objective and important fact.
Economic research on the production of new PhDs would benefit greatly if
the NSF were to disaggregate its FTFT enrollment data by the degree that
completers will receive. (27) Otherwise, it is not possible for users to
assess accurately the influence of changing macro labor market conditions on first year doctoral enrollments, or the influence of
lagged first-year enrollments on the output of new PhDs.
Epilog: Do Other Social Science Disciplines Have Problems Counting
PhDs?
Are the problems in counting new PhDs unique to economics, or can
they be found in other social sciences? (28) A full analysis would
require far more research than could be reported here. Instead, we offer
preliminary information on two likely indicators of trouble for five
other disciplines. The indicators are (1) the relative size of the
SED-IPEDS gap in doctoral degrees, and (2) evidence of underreporting or
inaccessibility of dissertation lists. The other disciplines are
anthropology, geography, history, political science, and sociology. (29)
A. SED-IPEDS Gaps
In Table 5, we show published tallies of new doctorates in each
discipline, as reported by the SED and IPEDS for the study decade of
1997-- 2006, along with the SED-IPEDS gaps from these counts. The
results for general economics are included as a benchmark.
Our discipline's SED surplus of 10.2 percent is only slightly
larger than history's 9.2 percent, but this similarity masks huge
differences (not shown in the table) in the size of subfields in each
source. As we showed earlier, there are no major specialties in general
economics, and the minor ones are very small. In history, however, SED
lists nine specialties and IPEDS seven, and the counts by source for
those that overlap seem to come from different worlds. For example, in
AY 2006 (a sample year), SED reported 391 new PhDs in "American
History," but IPEDS only eight! For "European History,"
the score was SED 216, IPEDS 1. Yet IPEDS swamped SED in "History,
General," 790 to 59.
The explanation seems to be that most PhD graduates in history
chose one of the subfield specialties on the SED survey, whereas most
history departments don't offer subfield specific degrees. Further,
the IPEDS contact person for history at a university is unlikely to know
the area specialties of history graduates, and so she assigns the
"History, General" code to most of them. (30) Fortunately,
these SED-IPEDS inequalities are largely offsetting, so they do not
signal counting troubles for the discipline. But we have no explanation
for the nine percent residual surplus that remains. (Perhaps there are a
few interdisciplinary degree programs where a subfield of history is
part of the curriculum and where some graduates with theses in that
subfield chose it as their primary field of study on the SED
questionnaire.)
In contrast to economics and history, Table 5 shows nearly equal
counts of new PhDs by SED and IPEDS for sociology and anthropology (with
gaps of 1.6 and -0.9 percent, respectively). An important reason is that
SED does not list a single subfield in either discipline on its survey,
while the two listed by IPEDS in anthropology (physical and other) are
virtually ignored, with counts near one percent.
The last two fields listed in Table 5--political science and
geography--have unexpected SED deficits near five percent. Why?
Consider political science (PS) first. Here, most doctoral programs
require work drawn from several areas, the most common of which are
American politics, comparative politics, international relations, models
and methods, and political theory. (31) What distinguishes international
relations is that it is also listed as a separate social science by SED
and IPEDS, at the same time that five PS departments have international
relations (or studies) in their names. (32) If enough new PhDs in PS
mark the separate discipline of international relations as their primary
field of study on the SED survey, while the graduate registrars at these
universities report them as PS doctorates to IPEDS, they could produce
the observed 279-degree SED shortfall. Nonetheless, there could also be
a "flow" of graduates in the opposite direction-from
international relations to political science. It is unclear on a priori grounds which flow should be larger.
Finally, geography is a small discipline that graduated only about
1,800 PhDs over 1997-2006. The National Research Council (2011) reports
four subfields for it: physical and environmental geography, human
geography, nature and society relations, and geographic information
sciences. Despite their large differences in content, none appears on
either SED's or IPEDS' list of subfields. Nor could we find a
listed SED subfield that looked potentially more attractive to some
geography graduates than geography itself. So the small SED deficit here
is a mystery.
B. Evidence of Underreporting and Inaccessibility of Degrees
Perhaps the most important finding of this study is the substantial
underreporting of doctoral dissertations (DDs) by a minority of
departments of economics. Do other social sciences face a similar
problem? Table 6 compares dissertation counts for each of our
disciplines (again including economics as a benchmark) with the number
of doctorates reported by SED and IPEDS for a sample of academic years
in the mid-2000s. We wanted to use 2005, 2006, and 2007 for all
disciplines, but data problems led to the loss of 2005 for political
science and a decision to add 2004 for history. (33) Disciplines are
listed in rank order of the average percent of dissertations received
(i.e., their "yield," for short) for all sample years
combined.
Scanning these average yields reveals that sociology and geography
had nearly complete returns (about 98 percent), while anthropology
garnered only 77 percent. In the middle were history, economics, and
political science, with yields of 91, 88, and 84 percent, respectively.
These are substantial differences. But a further look at the data tells
us that a discipline's average yield is a flawed measure of how
well its dissertation lists are likely to encourage additional research.
First, these averages conceal large differences across years within
some major fields, casting doubt on the reliability of their data. In
geography, for example, the yield drops from 111 percent (a surplus!) in
2005 to 93 percent in 2006 and 87 percent in 2007. Likewise, the yield
in political science plummets from 97 to 72 percent between 2006 and
2007. Why is this statistic so unstable in some fields?
We have no answer for geography, but here is at least a partial one
for political science. This is the only social science discipline that
collects new dissertations only by calendar year, and currently reports
them biennially for both adjacent years combined. The entries, which
include the year of completion, are published by PS in a single list
early in the following year. The problem is that the respondent is asked
to submit the results of two years' surveys in one calendar year.
For example, early in 2013, directors of graduate studies were
asked to submit information on DDs completed in 2012 (a tight fit, but
doable). However, the call for dissertations completed in 2013 went out
early in the fall of that year, before the titles of many dissertations
completed in the last quarter of the year were known. The expected
result will be the omission of many of the latter theses from the
forthcoming list in 2014 and a decline in the yield of DDs between 2012
and 2013. (34)
The most recent report on new dissertations in PS, which appeared
in April 2012, reveals a 14 percent drop in the count of new
dissertations between 2010 and 2011, compared with only a four percent
decline in PhDs. If the same timeline of data collection was in place
back in 2007, that would help to explain at least some of the 30 percent
drop in dissertations reported between 2006 and 2007 in Table 6,
compared with a five percent decline in degrees. (35)
There may be some benefits to ASP A from this data collection
policy, but it clearly imposes costs on users, who are able to gain
access to information on new dissertations only every two years. There
is also a question of how many late year dissertations not reported in
odd years are belatedly submitted the following year, or perhaps between
surveys, as APSA's instructions invite. But some permanent
attrition seems inevitable, since directors of graduates studies have
more important things to do.
Another limitation of the reported yields in Table 6 is that they
do not take into account either the benefits to the profession of DD
lists that go back many decades (like those of history and economics),
or the losses from gaps in reporting (like those in political science
during the 2000s). While recent research is more relevant than what came
earlier, the use of a source is encouraged by predictable availability.
For historians, not surprisingly, annual information on DDs can be found
back to 1882!
The content and organization of citations also matter. While the
content of the typical entry varies little across disciplines, the
inclusion of the principal adviser's name, as most entries for
geography and some from history do, helps researchers contact graduates
who have left the campus. More importantly, for a DD list to be to be
useful, it needs to be organized by subfield, preferably at several
levels, as the JEL codes of economics provide. Anthropology, geography,
and sociology fall short on this count. Anthropology identifies the
subfield in which each dissertation falls, but only within each listing
(American Anthropological Association, 2008). Would not a list assembled
by subfields be much more useful?
The accessibility of a discipline's list is probably its most
important characteristic. Among social sciences, history is the exemplar (American Historical Association, 2013). With over 29,300 dissertations
in its data bank as of October 2013, history's on-line search
engine allows creation of subset lists for any year--and for all years
that precede or follow it--organized by 19 major categories, 126
specializations, and 352 narrow fields. Users can also search by
university, by keywords in a title, and by author and principal advisor
(although some advisors are missing).
The most basic accessibility that a dissertation researcher
requires is that a discipline combine the dissertations from all
responding departments in a single list, organized at least by broad
subfields. Surprisingly, neither geography nor sociology does so.
Instead, these disciplines report new dissertations in their annual
guide to departments and programs -but only by department, listed
alphabetically by state and university/6 It helps that all of
geography's dissertations appear in a separate section of its
handbook, whereas those in sociology are part of the baseline
information presented for each department offering graduate degrees. As
a result, someone wishing to search one year's complete harvest of
dissertations in geography need go through only about 35 pages of
entries. In contrast, a researcher with the same task in sociology (with
its larger harvest and less user-friendly format) must scan about 300
pages of departmental information. (37) Unfortunately, useful
information by subfield cannot be presented efficiently for individual
departments.
Departmental lists may nonetheless serve interests that departments
value more than assisting searches! For example, they may help to
recruit graduate students by showing how many complete the program, and
with research on what topics, in a sample year. Further, if they have
tangible benefits, departments may work harder at reporting all new
degrees. Still, nothing prevents a discipline's association from
producing a composite list from those it reports by department, and that
list would attract far more attention.
We close with an important qualification that leads to a
multidisciplinary challenge. The extent to which unreported or
inaccessible dissertations inhibit new research within a discipline
depends on the availability and quality of alternative sources of new
findings. In this context, abstracts of dissertations surely trump
titles! In economics we found that theses never submitted to the JEL
were also lost to our main source of dissertation abstracts, EconLit.
Compounding that loss is another one: nearly half of the dissertations
that are delivered to the JEL do not include the requested abstract,
which would also have been sent to EconLit. But other social science
associations may receive abstracts from other sources, including
graduate schools and new graduates themselves. We must leave it to
scholars in these fields to see what additional sources are available to
them.
APPENDIX
This technical note explains the basis of our conclusion that
IPEDS' unpublished estimate of 773 PhDs conferred in general
economics in AY 1999 was about 70 degrees too small.
As reported in the text, owing to processing problems IPEDS
withheld publication of degrees awarded by discipline in that academic
year. These data were, however, made available to researchers; and we
have included the (uncorrected) values in Table 1. Visual inspection of
the data for SEDE-con, IPEDS-Econ, and total JEL for AYs 1998, 1999, and
2000 leaves little doubt that the IPEDSE-con estimate for the middle
year is too low. The 15.4 percent drop from 1998 to 1999 is much larger
than the declines reported by SED-Econ (6.7 percent) and JEL (4.7
percent). Likewise, the 7.5 percent rebound from 1999 to 2000 by
IPEDS-Econ compares with a 2.4 percent bounce by SED-Econ and a
continued decline of 2.2 percent by JEL.
One way of estimating a corrected estimate of IPEDS-Econ in 1999
would be to take an average of the reported declines in GE degrees by
SED and JEL between 1998 and 1999 (namely, 5.7 percent), and assume that
IPEDS-Econ's actual output in 1999 was 0.943 times the reported
output of 914 in the previous year, or 862 degrees.
Alternatively, one could take the average of the percent changes in
the reported outputs of the two benchmark sources between 1999 and 2000,
which was a gain of 0.1 percent, and use that to solve for the value
that IPEDS would have reported for 1999, if that number had risen by 0.1
percent from 1999 to 2000. That estimate is 830 degrees.
Since neither estimate of the corrected figure for IPED-Econ in AY
1999 rests on stronger a priori premises, we take the average of them,
or 846, which is 73 more than IPEDS reported. To avoid spurious accuracy, the adjustment is rounded down to 70 degrees.
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American Economic Association (AEA). "Doctoral Dissertations
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American Historical Association. Website of the "Directory of
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American Political Science Association (APSA). 2008, 2012.
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Notes
(1.) I thank John Siegfried for helpful comments, Chris Bennett for
econometric advice, Elizabeth Braunstein for JEL dissertations data,
Mark Fiegener and Paulette Sears for information on SED and IPEDS
degrees, Mary Ann Gilbert for ProQuest data and information, Doug Quint
for information on EconLit, and Zhongzhong Hu for excellent research
assistance. The author bears sole responsibility for all errors,
conclusions, and recommendations.
(2.) Extensive on-line searches with EconLit, Google, and Google
Scholar failed to reveal any citations of works that discussed such
differences.
(3.) National Science Foundation, Sur\'ey of Earned
Doctorates, 2006, Section 3, "Survey Quality Measures,"
Subsection (c), "Nonresponse."
(4.) We thank Mary Ann Latter, a project officer at NORC, for this
information.
(5.) Programs currently entitled "natural resources"
often house programs in agricultural economics, but IPEDS continues to
classify the two specialties separately.
(6.) The latter (with number of degrees during our study decade in
parentheses) are applied (117), development and international
development (51), international (68), natural resources (16),
pharmaceutical (5), and other (57). A seventh, econometrics and
quantitative economics, is also listed but conferred no degrees.
(7.) Information from John Siegfried based on research by Siegfried
and Stock (1999, 2004).
(8.) We have added comparable data for the next five years so that
the reader can see how little impact the Great Recession of 2008 and
2009 and the weak recovery that followed in 2000 and 2001 appear to have
had on the output of new doctorates.
(9.) The 22 are Bowling Green, Drew, Florida Atlantic, Jackson
State, Louisiana State, New Hampshire College, New Mexico State, Nova
Southeastern, Ohio University, Old Dominion, Rush, Rutgers-Newark,
Tufts, U.S. International, Walden, and the universities of Alaska,
Central Florida, Maine, Maryland-Baltimore County, North Texas, South
Florida, and Texas-Arlington. A few of these may have opened PhD
programs since 2006.
(10.) These universities are Drexel, Lehigh, Mississippi State, and
the universities of Alabama, Memphis, and Mississippi. Programs in
applied economics have some required courses outside the usual core and
fewer elective specialties than GE programs.
(11.) None of these programs belonged to earlier subsets for which
adjustments were made.
(12.) Except for Auburn, each school's estimated GE output is
based on its SED count, minus any degrees in agricultural economics (AE)
reported by IPEDS. For Auburn, which closed its GE program in the late
1990s but retained a program in AE, we used the number of dissertations
it reported to the JEL over 1997-2001, since no AE theses were submitted
during those years.
(13.) We are unable to estimate the effects of the SED-IPEDS
deficit of 150 degrees in agricultural economics (AE) on the SED-IPEDS
surplus in general economics (GE).
(14.) Bear in mind that while the aggregate SEDIPEDS gap is
positive, it was zero or negative for 44 of the 102 schools in our
sample.
(15.) A very large variance across universities in the output of
each specialty, together with the presence of a good many schools with
no program in it, preclude using the actual counts of specialty degrees
as a predictor.
(16.) We cannot judge whether the same inference applies to ED
programs, because we have no information on their rankings or use of
economics.
(17.) The regression coefficient for QJEL "holds
constant" the influence of BMF and ID degrees on GAP. But this
control is weak when there is so little covariance between the numbers
of these degrees and GAP.
(18.) The standard deviations of QJEL and GAP in the all university
sample are 68.2 and 10.8 degrees, respectively, compared to 31.5 and 3.3
degrees in the 32-school subset with no BMF degrees.
(19.) Our estimate of roughly 1,000 specialty thesis listings in
the JEL is the difference between total JEL listings (8,862) and those
imputed to economics departments (7,856), as shown earlier in Table 1.
The imputation procedure is explained in the next section. The
comparable IPEDS total of 2,278 specialty degrees is the sum of its
degrees awarded in agricultural, business/managerial, and minor
(smaller) specialty programs, also shown in Table 1.
(20.) Elizabeth Braunstein of the AEA's Pittsburgh office
kindly obtained these data for us. Similar data are not available for
earlier years.
(21.) To the extent that JEL listings included dissertations from
specialty programs, the deficits in Table 5 are understated. Only
Hawaii-Manoa and Northwestern had specialty programs that were solicited
in 2006-09, and neither reported any specialty degrees. Nonetheless,
each might have done so earlier--and so might have a few other schools.
(22.) Source: Northwestern University website, Department of
Economics, "Graduate Connection," September 2010, pp. 7-8.
(23.) The inference of a large departmental shortfall is also
supported by data from ProQuest, which reported 150 economics PhDs from
Northwestern over calendar years 1997-2006. We reported this shortfall
(and its basis) to the chair at Northwestern.
(24.) The even larger SED-based deficits at Yale, Northwestern, and
Penn might be explained by the unusual sharing of teaching with
economics faculty and integration of economics into the curriculum in
their schools of management-leading, perhaps, to an unusual number of
their graduates adopting economics as their primary field of study on
the SED survey.
(25.) With surpluses shown in parentheses, they are UC-Berkeley
(100), Purdue (77), Cornell (72), Ohio State (67), Illinois at
Urbana-Champaign (58), Stanford (52), Minnesota--Twin Cities (52),
Michigan State (41), Washington State (38), UC-Davis (36),
Wisconsin-Madison (33), Texas A&M (27), and Harvard (21).
(26.) The source of these data is the annual NSF-NIH Survey of
Graduate Students and Post-doctorates in Science and Engineering,
accessible to researchers on WebCASPAR, and published in the Digest of
Education Statistics.
(27.) Some graduate schools have a division of unclassified studies
for students preparing to enter degree programs. That division could be
a third category on the NSF-NIH survey.
(28.) I thank an anonymous referee for raising this issue.
(29.) We included history because the National Research Council
(NRC) listed it under Social and Behavioral Sciences in 1993. We omitted
two others: (a) psychology, because some specialties confer professional
rather than research doctorates, reducing SED-IPEDS comparability; and
(b) linguistics, because the SED and IPEDS list it under different
disciplinary divisions, with the same result.
(30.) We thank Mark Fiegener at the NSF for this explanation.
(31.) Source: National Research Council (2011).
(32.) Count by the author from data in PhDs.org (2013).
(33.) Some history departments report dissertations by academic
year, others by calendar year. Use of the latter creates a six-month
misalignment between the interval for completion of theses and that for
conferring degrees, since SED and IPEDS degree counts are based on AYs.
Adding another year (2004) to history's data set mitigates the
mismatch. Political science, in contrast, reported dissertations only
for calendar years 2006 and 2007, so data from additional years were not
available.
(34.) We thank Cindy Kam, Director of Graduate Studies in Political
Science at Vanderbilt, for information on these procedures.
(35.) We were unable to reach anyone at APS A headquarters who knew
what timeline of data collection was used in earlier years.
(36.) See Association of American Geographers (2006) and American
Sociological Association (2006).
(37.) Each sociology handbook contains an alphabetical list of all
PhD recipients in the U.S. and other countries during the designated
year. Each citation reports the university and program where the degree
was earned, but does not give the title of the dissertation or the
subfield in which it was earned.
by T. Aldrich Finegan, Professor of Economics, Emeritus, Vanderbilt
University. E-mail address: t.aldrich.finegan@ vanderbilt.edu.
Postal address: American Economic Association, 2014 Broadway, Suite
305, Nashville, TN 372032418. Phone numbers: Office, direct line: (615)
322-7016, Office, message: (615) 322-2595, Home: (615) 352-9344.
TABLE 1.
Economics PhDs Conferred, by Data Source, Specialty, and Academic
Year: 1997-2011
Academic Years in Study Period
Source and Specialty 1997 1998 1999 2000 2001 2002
NSF: SED: Total (a) 1,211 1,214 1,117 1,138 1,131 1,066
Agricultural 133 156 149 138 154 119
econs.
Business/ 48 57 42 52 50 39
managerial
econs.
Econometrics 31 25 15 15 13 14
Economics (b) 999 976 911 933 914 894
NSF: IPEDS: Total" 1,150 1,162 1,032 1,061 1,066 1,002
Agricultural 137 178 172 150 165 135
econs.
Business/ 45 56 50 59 46 41
managerial
econs.
Minor econ. 28 14 37 21 30 24
specialties (d)
General economics 940 914 773 831 825 802
AEA: JEL 966 916 873 854 876 826
dissertations:
Total (e)
General economics 860 810 770 760 780 730
(f)
Academic Years in Study Period
Source and Specialty 2003 2004 2005 2006 Total Share
of
Total
NSF: SED: Total (a) 1,094 1,128 1,238 1,187 11,524 1.0
Agricultural 118 110 122 113 1,312 0.11
econs.
Business/ 44 59 55 45 491 0.04
managerial
econs.
Econometrics 23 18 30 33 217 0.02
Economics (b) 909 941 1,031 996 9,504 0.82
NSF: IPEDS: Total" 1,009 1,042 1,171 1,117 10,812 1.0
Agricultural 131 129 138 127 1,462 0.14
econs.
Business/ 38 60 57 50 502 0.05
managerial
econs.
Minor econ. 39 42 37 42 314 0.03
specialties (d)
General economics 801 811 939 898 8,534 0.79
AEA: JEL 779 863 994 915 8,862 1.0
dissertations:
Total (e)
General economics 690 760 880 816 7,856 0.89
(f)
Later Years
Source and Specialty 2007 2008 2009 2010 2011
NSF: SED: Total (a) 1,217 1,220 1,259 1,220 1,217
Agricultural 182 111 116 118 107
econs.
Business/ 31 18 24 29 26
managerial
econs.
Econometrics 30 36 31 34 28
Economics (b) 974 1,055 1,088 1,039 1,096
NSF: IPEDS: Total" 1,164 1,225 1,223 1,193 1,218
Agricultural 166 147 157 140 139
econs.
Business/ 56 50 53 54 66
managerial
econs.
Minor econ. 40 46 36 59 49
specialties (d)
General economics 902 982 977 940 964
AEA: JEL 956 975 956 944 1,008
dissertations:
Total (e)
General economics 824 868 862 840 890
(f)
(a) Source: NSF Survey of Earned Doctorates (SED), annual reports.
Totals are author's summations of group totals.
(b) Most of these degrees are in general economics, but the total
includes several hundred from minor economics specialties and a
smaller number from interdisciplinary programs and business schools.
(c) Source: NSF Integrated Postsecondary Education Data System
(IPEDS), annual reports. Totals are author's summations of group
totals. Data for 1999 are unpublished.
(d) These are degrees in the following economic specialties:
applied, development, international, natural resources,
pharmaceutical, and "other."
(e) Source: Author's counts of dissertations from U.S.
universities listed in December issues of the JEL.
(f) Actual counts are available only for 2006-2009; other
years show rounded estimates (see text).
TABLE 2.
OLS Regression Predicting SED-IPEDS Gaps in Output of General
Economics Degrees during 1997-2006 at 102 Universities (a)
Predictor (b) (Range NOBS Coeff. Std. t-stat Prob.
of Degrees) (c) error (d)
Constant term -3.86 * (2.09) -1.85 0.07
ID-FEW (1-3) 7 2.18 (4.22) 0.52 0.61
ID-SML (10-32) 18 0.96 (2.78) 0.34 0.73
ID-MID (37-69) 15 -0.08 (2.94) -0.03 0.98
ID-LGE (82-261) 10 2.76 (3.73) 0.74 0.46
BMF-SML (11-57) 19 1.83 (2.84) 0.65 0.52
BMF-MID (64-84) 13 3.68 (3.26) 1.13 0.26
BMF-LGE (91-120) 20 5.86 ** (2.97) 1.98 0.05
BMF-XLG (125-296) 18 0.27 (3.56) 0.08 0.94
QJEL (2-326) 0.072 *** (0.018) 4.00 0.000
AG (1,0) -1.42 (2.45) -0.58 0.56
USP(1,0) 5.39 (4.28) 1.26 0.21
(a) Dependent variable is the university's SED-IPED difference in
GE degrees conferred (mean = 4.63, S.D. = 10.8, median = 1, minimum
= -7, maximum = 73). Overall results: [R.sup.2] = 0.28, adj.
[R.sup.2] = 0.19, S.E. of Reg. = 9.69, F stat. = 3.19 ***
(b) See text for descriptions of explanatory variables.
(c) NOBS is the number of universities in each size subset
of ID and BMF degrees. Universities with no such program
are the omitted reference groups.
(d) Shows the probability that the observed regression
coefficient would differ from zero by chance.
*** Significant at the 0.01 level, ** at the 0.05 level,
* at the 0.10 level (two-tail tests).
TABLE 3.
Universities with Deficits of Twenty or More
Degrees in JEL Submissions, Relative to IPEDS
Reported Degrees in General Economics: AYs
1997-2006 (a)
University IPEDS JEL JEL
General Total (b) Deficit
Economics
Northwestern 148 67 81
Princeton 162 124 38
Rochester 107 69 38
UC-San Diego 113 81 32
Penn 156 131 25
North Carolina State 100 76 24
New School 98 74 24
Duke 100 77 23
Hawaii-Manoa 53 30 23
UNC-Chapel Hill 96 74 22
Yale 201 181 20
Totals 1,334 984 350
(a) Two universities (Emory and Oklahoma) with no JEL
submissions but with over 20 PhDs reported by
IPEDS-GE are excluded from the list because these
programs were evidently not solicited by the JEL.
(b) May include some dissertations submitted by specialty
programs.
TABLE 4.
Adjustments to IPEDS' Baseline Count of General Economic
Degrees for Decade of 1997-2006
GE Degrees
Baseline: IPEDS' total for GE (from Table 1) 8,534
Plus output of seven GE programs misclassified +237
by IPEDS as managerial economics (see Part
II.B.2)
Plus estimate of degrees not reported by IPEDS +70
in AY 1999 (see Part II.B.2 and Appendix)
Plus degrees reported by JEL for a start-up + 19
program at Clemson in 2005, 2006 (see Part
II.B.2)
Plus JEL-IPEDS surpluses at eight universities +48
with no JEL solicited specialty programs
(see Part II.F.2)
Plus conservative estimate of additional +220
economics department degrees recorded by SED
but not IPEDS and associated with larger
department output (see this section)
Equals overall estimate of total GE degrees 9,128
TABLE 5.
SED-IPEDS Degree Gaps, Social Science Disciplines: 1997-2006
Discipline Ph.D. Degrees Conferred: 1997-2006
Granting
Programs,
2006 (a)
SED IPEDS SED- Percent
(b) (c) IPEDS Difference
GAP
Economics: General 118 (d) 9,504 8,534 970 10.2%
History 138 9,890 8,984 906 9.2
Sociology 120 5,685 5,592 93 1.6
Anthropology 82 4,600 4,643 -43 -0.9
Political Science 106 6,386 6,665 -279 -4.4
Geography 49 1,778 1,873 -95 -5.3
(a) Source: National Research Council (2011).
(b) Source: NSF, Survey of Earned Doctorates, annual reports.
(c) Source: NSF, Integrated Postsecondary Education Data System,
annual reports.
(d) May include some minor specialty programs.
TABLE 6.
Doctoral Dissertations Reported and PhDs Conferred by Social Science
Disciplines in Selected Years
Discipline, DDs PhDs Conferred DDs as %
by Year Reported of Mean
(a) PhDs
SED IPEDS Mean
Sociology
2005 522. 536 527 532. 98.1.
2006 546. 578 562 570. 95.8.
2007 583. 576 569 573. 101.7
2005-07 1,651. 1,690 1,658 1,674. 98.6
Geography
2005 226. 195. 210. 203 111.3.
2006 199. 205. 222. 214 93.0.
2007 180. 200. 211. 206 87.4.
2005-07 605. 600. 643. 622. 97.3.
History
2004 862. 975. 855 915 94.2
2005 766. 924. 819 872 87.8.
2006 838. 973. 852. 913. 91.8.
2007 766. 940. 807 874 87.6.
2004-07 3,232. 3,812. 3,333. 3,573. 90.5.
Economics, General
2005 880. 1,031. 939. 985. 89.3.
2006 816. 996. 898. 947. 86.2.
2007 824. 974. 902. 938. 87.8
2005-07 2,520. 3,001. 2,739 2,870 87.8
Political Science
2006 610. 615. 646. 631. 96.7.
2007 430. 588. 614. 601. 71.5.
2006-07 1,040. 1,203. 1,260. 1,232. 84.4
Anthropology
2005 327 456. 445. 451. 72.5
2006 386. 472. 475. 474. 81.4
2007 395. 511. 507. 509. 77.6.
2005-07 1,108 1,439. 1,427. 1,433. 77.3.
(a) For information on the sources, content, organization, and
publication of dissertation lists, see text and references cited
there.