
August 1996 Volume 23 Number 4
A View from the Ivory Tower
Inefficient, unfair afirmative action policies must be reformed, but
the costs pale in comaprison to the waste of human potential among the disadvantaged
By Harold Pollack
Is there anything left to say about affirmative action? Merit, diversity,
quotas -- the codewords drop into the word processor without conscious thought.
Every argument, on every side, was presented in someone's brief in the Bakke
case 20 years ago. Reading "The Bell Curve" and the deeply flawed
White House affirmative action report, one might think that public debate
has declined over the past 15 years.
Rather than weigh in with my own opinions, I will take the analytic high
road by presenting four propositions informed by the affirmative action
debate. Some readers may regard this rhetorical stance as mere subterfuge,
a sly way to present partisan argument in the guise of dispassionate analysis.
How cynical our profession has become.
Proposition 1:
Elections and public sentiment matter. This makes scholarship more,
rather than less, important.
Until a few years ago, the conventional wisdom among supposed experts was
that affirmative action was good fodder for political campaigns, but that
the actual policies would proceed, basically unaffected by the larger public
debate. Ending affirmative action as we know it -- like candidate Bill Clinton's
pledge to end welfare as we know it -- was viewed as a pipedream by those
in the know.
It is easy to see why smart people thought that affirmative action would
never really change. Affirmative action was never popular among the electorate.
Yet a solid elite consensus held that racial and gender preferences were
needed. Such policies seemed the cheapest way to keep civic peace without
enacting more drastic policies to serve disadvantaged groups.
Like welfare, affirmative action was entrenched within specialized bureaucracies.
Bob Dole and other moderate Republicans supported gradual expansion of many
affirmative action programs. Legislation such as the Americans with Disabilities
Act brought such policies into new domains with bipartisan support. Companies
such as MacDonald's viewed affirmative action as an expression of corporate
citizenship -- one that nicely matched their desire to maintain good relations
with important consumer groups.
What a difference elections and new judges make. Political opposition to
affirmative action has taken on new potency. In California, a popular ballot
initiative proposes to essentially outlaw affirmative action in education,
employment and contracting.
Affirmative action is also under fire in the courts. Several recent decisions
question the basic foundations of race and gender-conscious policies. Most
recently, a federal appeals court sent a shock wave through higher education
with Hopwood v. Texas.
In remarkably blunt language, the court ruled that race-conscious admissions
policies at the University of Texas Law School were unconstitutional. Especially
ominous to timid administrators, the court added: "(If) the law school
continues to operate a disguised or overt racial classification system in
the future, its actors could be subject to actual and punitive damages."
So the political and legal foundations of affirmative action are open to
debate. Most readers of this magazine claim no special expertise about the
moral and political questions affirmative action engages. However, we do
know about important issues of measurement and implementation that concern
voters and policymakers alike: What is the impact of affirmative action
on black wages and employment? What happens to people who might be harmed
by affirmative action? Where does affirmative action create excessive disparities
in entry qualification, and how would we know?
Careful, empirically grounded analysis often enriches public debate by critically
testing widespread assumptions that often turn out to be wrong. Ask yourself:
Is the typical black or Latino college student an affirmative action recipient?
The clear answer is no. Research by Thomas Kane indicates that affirmative
action is aggressively pursued at the top tier of undergraduate colleges,
but that preferences are basically irrelevant at most colleges. The fact
is, most colleges are non-selective. They admit most students who choose
to apply.
Proposition 2.
Beware over-generalization from extreme cases.
Often in life we draw inferences from extreme cases, and we do so for two
good reasons. Outliers don't cost much to observe. They also carry real
information. As Michael Walzer once wrote, the Nazis were an extreme case,
but not an imaginary one.
The utility of this approach is clear from a contrived example. Suppose
I am lecturing to 200 students, half of whom are Pakistani and half are
Korean. During my talk, my mind unaccountably wanders to the question of
which is the taller group. I can't stop to calculate the relevant group
means, but I can find the tallest person in the room and assume that he
came from the tallest group. In fact, this crude method works pretty well.
If heights are normally distributed and the true population difference in
mean height is one inch, I will be right about 75 percent of the time without
expending any real effort (assuming that both groups have a standard deviation
of four inches). One does much better by picking the group with two of the
top three.
Similar algorithms are often useful in evaluating public policies. Yet outlier-based
reasoning is dangerous when it neglects two important points.
First, programs that work for some populations might fail for
others. You shouldn't abolish prison furloughs for pickpockets after Willy
Horton goes on a rampage.
This is especially important in evaluating affirmative action. Race and
gender preferences often look foolish at the extremes of the income distribution,
but they provide significant, if less visible, benefits for many people
near the middle. Affirmative action is often irrelevant to desperately poor
ghetto residents who are not qualified for the opportunities preferences
open up. Affirmative action also looks bad at the high end of the distribution,
because it benefits many people who don't need the help.
Arnold Barnett suggests (his Proposition 2) that affirmative action is a
"public relations disaster." Nowhere is this more true than in
the area of set-asides, preferential broadcast licenses and other subsidies
to wealthy recipients. These visible and occasionally corrupt programs help
to convince the public that affirmative action is more inefficient and arbitrary
than it actually is.
These programs are also costly. Making heroic assumptions from the recent
White House review, I estimate that the federal government spent about $2
billion to assist women and minority entrepreneurs over the past year. Many
of these costs are essentially invisible because they come in the form of
slightly inflated prices in government contracts, or as slightly reduced
prices for properties the government sells. The federal government spends
almost as much on set-asides as it does for Head Start or WIC nutritional
supplements for poor pregnant women and children.
Some people believe that providing subsidies to prosperous entrepreneurs
is a good strategy to alleviate problems of low wages and lack of upper
mobility that afflict many minority groups. Maybe so, but this argument
enjoys the empirical backing one associates with other forms of trickle-down
economics.
More generally, I am struck that many affirmative action "horror stories"
involve a rather small group of relatively educated and affluent recipients.
It seems that every time I see a newspaper story about affirmative action,
it concerns admission to Harvard, partnerships at a New York law firm, or
conflict between reporters at the Washington Post. Ironically, affirmative
action is more fervently, and sometimes more foolishly pursued in these
settings than it is within the society at large.
We hear about such cases because they occur in the lives of journalists,
professors and other elites that play a disproportionate role in shaping
public opinion. Yet such cases are often misleading. The typical affirmative
action recipient is a mail carrier or a cashier. Affirmative action on the
assembly line at Southern New England Telephone makes less dramatic newspaper
copy than whether Allen Bakke could go to medical school, but the ultimate
consequences of such policies are probably more profound.
A second problem with drawing inferences from extreme cases is that the
best policy will still produce occasional disasters. Bureaucratic justice
is dispensed by fallible, busy people who face significant uncertainty.
Under any reasonable policy, there will be some welfare mother in Brooklyn
who kills her child. Afterwards, there will always be some expose about
how the authorities should have intervened.
Right now, conservative foundations are combing the land in search of appealing,
disadvantaged whites who were denied important opportunities because of
affirmative action. Many resulting cases reflect the consequences of bureaucratic
snafu or unusual circumstance rather than inherent problems of affirmative
action itself.
Cheryl Hopwood is the current poster child of the anti-affirmative action
cause. She was denied admission to the University of Texas Law School even
though she had worked 30 hours per week while attending school and caring
for her disabled child. Virtually every admitted black or Latino student
had lower grades and LSAT scores than she did.
Regardless of what you think about affirmative action, this seems outrageous;
so outrageous that there is more to the story. Although the story was widely
reported in the national press, few pundits seem to have noticed that Hopwood
submitted a very sloppy application. As the original court judgment notes,
"Hopwood's application file contains no letters of recommendation.
Additionally, her responses to the questions are brief and do not elaborate
on her background and skill. She provided no personal statement with the
application."
Hopwood applied with outstanding grades, but these were from a junior college
while most other applicants had attended four-year institutions. Many affirmative
action "horror stories" are like this; not so horrible once the
full facts are known.
Ironically, gross favoritism and inefficiency associated with affirmative
action were more common 20 years ago than they are today. In the early 1970s,
universities and firms faced strong external pressure to improve racial
diversity. The available pool of female and minority applicants was much
weaker than it is today, while administrators were less savvy about the
true costs and benefits associated with affirmative action.
Proposition 3:
(suggested by Richard Zeckhauser) If you care about both diversity
and merit, there are strong arguments for quotas. That's one reason implicit
quotas are so common.
Even staunch defenders of affirmative action swear on a stack of Bibles
that they oppose quotas. Few organizations are dumb enough to enact illegal
explicit quotas. Yet in practice, many organizations establish policies
that are almost the same thing. They do this because they want to achieve
diversity, and at the least cost to their other organizational goals. Ironically,
if judges and policymakers drive preferences underground by requiring ostensibly
neutral criteria, they may encourage a less meritocratic outcome than we
see today.
This apparent paradoxical follows straight from the logic of optimization
theory. Suppose that a state college cares about diversity; call this D
to provide the appearance of mathematical rigor. The college also cares
about strictly academic criteria such as SAT scores, denoted by s. Suppose
further that the college's past decisions can be represented as some well-behaved
objective function U(D, s).
Free from legal and political constraint, the optimal policy is to divide
the applicant pool into separate race and gender groups. Within each group,
one then ranks the candidates based upon meritocratic criteria, rejecting
every applicant who falls below some group-specific threshold. The actual
thresholds are set based upon the relative quality of the different applicant
pools, and the school's self-perceived tradeoff between diversity and other
goals. Notice that given any level of ethnic and gender diversity, this
algorithm yields the most academically qualified admitted group.
What happens if some judge tells the university that it can't do this anymore?
Maybe the university will genuinely ignore race and gender. This strikes
me as unlikely. In selective institutions, such a policy would dramatically
reduce minority representation, even if such factors as prior economic disadvantage
were taken into account. It is not clear that most Americans, even affirmative
action opponents, could really accept such an outcome.
A more likely scenario is that colleges would tinker with the official criteria
to give greater weight to those factors in which minorities do relatively
well. Some of these changes would provide welcome inducement for universities
to adopt broader and more socially accepted criteria than race or gender
alone. Yet one should expect unexpected consequences, since the essential
purpose would be to find a legitimate approximation for the same race and
gender patterns admitted today.
Most notably, such changes would apply less meritocratic criteria within
every racial and ethnic group, including the group of white males who were
not the presumed subjects of affirmative action in the first place. Schools
would also be tempted to employ more subjective or poorly measured criteria
such as "leadership skills" that would provide cover to take race
into account.
Proposition 4:
We don't know the economic impact of affirmative action. There is
no evidence that affirmative action creates serious adverse incentives in
school or in the workplace.
We don't know much about the real impact of affirmative action on the U.S.
economy or on the specific individuals affected by such policies. The recent
White House report, for example, is remarkably devoid of serious empirical
analysis.
I believe that there is a boring reason and an interesting reason for our
ignorance about these visible and controversial programs. The boring reason
is captured in the phrase, "Don't ask, don't tell."
The more interesting explanation is that we know surprisingly little about
the core processes that affirmative action seeks to influence: hiring, firing
and promotion, why jobs are organized as they are. The internal labor markets
of large organizations falls in the cracks between labor economics and operations
research. Traditional tools of operations research are poorly suited to
understanding equilibria and incentives. Economists have trouble unpacking
how problems of lumpiness and group production create the need for large
organizations in the first place.
Our ignorance is most obvious in the debate over how affirmative action
alters incentives to work hard or to acquire useful skills. An especially
damaging criticism is that affirmative action dulls incentives for excellence
because beneficiaries are effectively evaluated by less demanding standards.
This argument does not follow from its factual premise. An interesting analytic
feature of large organizations is that they reward people based upon relative,
not absolute, performance. Candidates for promotion at AT&T are rewarded
based upon how they stack up against other candidates. Relative compensation
is especially common in settings where absolute productivity is difficult
to measure, but where one can rank the performance of workers doing comparable
jobs.
Thus, the young lawyer works 70-hour weeks in the hope of making partner.
Why doesn't she work 60 hours or 80 hours? Economic theory says that she
works until her marginal disutility of effort balances the expected gains
associated with her eventual promotion. A similar process operates in the
allocation of prizes such as admission into elite colleges. The marginal
expected value of studying for the SAT is pretty low if I am a high school
star, or if I am unlikely to get into college even if I improve my score.
Relative compensation runs into problems within a heterogeneous workforce.
Our lawyer won't work hard if her current efforts will not appreciably improve
the likelihood that she will be promoted. If she is a star, she will advance
even if she slacks off a bit. If she is unskilled, if her boss doesn't like
her, she may give up. In both cases, pure "meritocracy" is inefficient
because the marginal expected payoff to the individual for her effort is
too low.
In the presence of such heterogeneity, firms want to sort workers so that
each person competes against others of similar competitive standing. If
that is impossible, the optimal policy is to impose a "handicap"
whereby workers who start at a disadvantage get an added bonus if they perform
well.
I think this is the most compelling commonsense argument for affirmative
action. If women or minorities face real competitive disadvantages -- due
to poor prior training, draining family obligations or explicit discrimination
-- they may not work hard out of a fairly rational calculation that their
effort will go unrewarded. Most poor black and Latino teenagers know perfectly
well that their academic skills lag behind their middle-class peers. Whatever
might be wrong with affirmative action, such policies send a positive message
to these young men and women: If you don't give up, you have a shot to get
a decent job, to get into a selective college.
Conclusion
This brings me to the concluding note of my essay. Conservatives note, correctly,
that affirmative action brings real costs when less qualified workers are
sometimes placed into important jobs. It is all too easy to find glaring
examples of inefficiency, unfairness and hypocrisy in prevailing programs.
Sometimes these costs are too large, and so programs must be reformed.
It is, however, important to remember that the costs of affirmative action
pale in comparison to the most glaring inefficiency in the U.S. economy:
the incalculable waste of human potential among disadvantaged segments of
our society. It seems to me that affirmative action has drifted from its
most important goal: to provide opportunities for poor and working-class
people. Affirmative action in hiring or college admission that advances
this goal should be openly defended. Race and gender-conscious programs
for relatively advantaged people should be eliminated. The resulting policies
would remain imperfect. I suspect, at least I hope, they would command a
stronger public mandate than they do today.
Harold Pollack is a Robert Wood Johnson Health Policy Scholar at Yale
University.
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