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Free-Rider Problems in the Production of Collective Goods
Jean Hampton
Economics and Philosophy / Volume 3 / Issue 02 / October 1987, pp 245 - 273
DOI: 10.1017/S0266267100002911, Published online: 05 December 2008
Link to this article: http://journals.cambridge.org/abstract_S0266267100002911
How to cite this article:Jean Hampton (1987). Free-Rider Problems in the Production of CollectiveGoods. Economics and Philosophy, 3, pp 245-273 doi:10.1017/S0266267100002911
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Economics
and
P hilosophy, 3,1987, 245-273. Printed in the United States of America.
FREE RIDER PROBLEMS IN THE
PRODUCTION OF COLLECTIVE
G O O D S
JEAN HAMPTON
University of Pittsburgh
There has been a pers isten t tendency to identify w hat is called the free-
rider problem in the production of collective (or public) goods with the
prisoner's dilemma. However, in this article I want to challenge that
identification by presenting an analysis of what are in fact a variety of
collective action problems in the production of collective goods. My
strategy is not to consult any intuitions about what the free-rider prob-
lem is; rather I will be looking at the problematic game-theoretic struc-
tures of various situations associated with the production of different
types of collective goods, thereby showing what sorts of difficulties a
com munity concerned with their voluntary production would face. I call
all of these dilemmas free-rider problems because in all of them certain
individuals find it rational to take advantage of others' willingness to
contribute to the good in a way that threatens its production. Some
readers may feel that the term 'free-rider problem' is so identified with
the prisone r's dilemma th at my extension of the term in this way jars ;
if so, I invite them to coin another word for the larger phenomenon. My
aim is not to engag e in linguistic analysis but to attempt at least a partial
analysis of the com plicated structu re of collective good produ ction.
In fact, free-rider prob lem s of this sort are neither pu rely m athem ati-
cal nor purely practical difficulties; they are a function of both the mathe -
matical structu re of the situation and of hum an psychology. If we believe
that human beings act in ways that are primarily, or even exclusively,
The author would like to thank David Gauthier, Isaac Levi, Alan Nelson, Christopher
Morris, Yoram Gutgeld, Jon Elster, a referee for Economics and Philosophy, and Russell
Hardin (whose work sparked these speculations) for their very helpful comments on
earlier drafts of this pape r.
© 1987 Cambridge University Press 0266-2671/87 $5.00 + .00 2 4 5
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46
JEA N H A M P T O N
self-interested, then producing these goods becomes problematic when
the game-theoretic structures underlying their production present to
people exploitative opportunities that are individually rational but collec-
tively irrational for them to take. So, once we understand these various
mathematical structures, we will see when and how human self-interest
can derail the production of these goods.
But it turns out that self-interest is not as much the enemy of their
production as traditionally thought. I will argue that many collective
action problems are (or can be transformed to become) coordination rather
than conflict dilemmas, so that the production of collective goods in
many situations need not require help in the form of sanctions from the
long arm of the state. Hence my analysis should be good news to those
who wish to encourage politically uncoerced cooperation.
I. THE CLASSIC
BUT
INCORRECT
PD
ANALYSIS
OF
FREE
R I D I N G
Stating the nature of the free-rider problem in English appears easy: any
public good which is indivisible but nonexcludable would seem to be
one whose benefits an individual can enjoy without paying for them, but
if too many people try to take this "free ride," either no amount of the
good, or else only a less than socially optimal amount, will be produced.
Nonetheless, this statement of the nature of the problem is blurry.
Rawls (1971, p.267) makes an attempt to get a better statement of it as
follows:
where the public is large and includes many individuals, there is a tempta-
tion for each person to try to avoid doing his share. This is because what-
ever one man does, his action will not significantly affect the amount
produced. He regards the collective action of others as already given one
way or the other. If the public good is produced his enjoyment of it is not
decreased by his not making a contribution. If it is not produced his action
would not have changed the situation anyway.
1
Russell Hardin (1971; 1982, chapter 2, esp. pp. 25ff) has constructed the
game-theoretic matrix suggested by Rawls's remarks, and it is repro-
duced in Figure 1. It depicts a situation in which the collective good will
not exist unless at least two people work to produce it; and the more of
them who produce it, the less the cost of production to each. In this
matrix, the individual's preferences are compared with the preferences
of the rest of the group. For our purposes, only the individual's prefer-
ences are important, hence they are underlined (1 is most preferred, 4 is
least preferred). Note that they match the preferences of any participant
of a prisoner's dilemma. In this situation, it is rational for the individual
1.
This passage
is
also cited
by
Richard Tuck
(1979, p.
147).
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L i
L 2
4 3
3_ 3
FREE RIDERS
ND
COLLECTIVE
GOODS 47
THE COLLECTIVE
Pay Not Pay
THE
INDIVIDUAL
Pay
Not
Pay
FIGURE 1
not to pay, no matter what the others do (assuming standard probability
assessments). And since every other individual would have the same
preferences relative to the rest of the collective, then it seems that it isn't
rational for any of them to pay the cost of production. Hardin concludes
that the voluntary production of collective goods can only succeed when
this PD interaction is part of a series of such interactions, or when it is
embedded in a wider set of interactions such that the cooperative action
dominates (1982, chapters 9-12). (Note that it might also be solved if
each player has the rather unusual probability judgment that the others
are likely to do what she or he does.
2
)
However, a number of theorists, including Hardin
himself,
have
questioned the strict equation of free-rider problems with prisoners'
dilemmas.
3
1 will now argue that they are right to do so.
II. DEFINING COLLECTIVE GOODS
Collective goods can be defined as goods that benefit a collective and
that are indivisible or in joint supply, that is, making them available
to one person in the community makes them available to all. Free-rider
problems arise in the production of these goods when benefits from
them are either difficult or impossible to exclude from people who do not
2.
For more on this possible (but controversial) solution to PD games, see Jeffrey (1965).
3.
See Hardin (1982, chapter 4, pp. 58-61). Taylor and Ward (1982) want to argue that
many free-rider problems are not PD's but chicken games. Frohlich, Oppenheimer, and
Young (1971) suggest that the PD is not the correct game-theoretic structure, and
Frohlich and Oppenheimer (1970 and 1978) show that there are situations in which
voluntary production of these goods is individually rational. This argument is extended
and deepened in Frohlich, Hunt, Oppenheimer, and Wagner (1975), which is discussed
in footnote 4.
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248 JEAN HAMPTON
Amount
of
Good
9(x)
T o t a l C o n t r i b u t i o n s
F I G U R E
2
contribute to their production. I will contend in this paper that under-
standing particular free-rider problem s depen ds upon un ders tand ing the
relationship between
th e prod uction structu re of the collective good in ques-
tion and the individual grou p m em ber's expected costs and benefits asso-
ciated with its production. My strategy for revealing these problem s m ust
therefore beg in with a technological definition of different kinds of
collective goods: tha t is, I will define them not by aggregating individual
contributions an d benefits, but by aggregating produc tion contributions
(regardless of who pays) and amounts of the good thereby generated.
4
As Hardin (1982, chapter 4) has discussed, some collective goods
only exist after a substantial amount has been contributed to their pro-
duction, and then do not increase in quantity or quality if any further
contributions are m ade . Figure 2 depicts such a good. These goods have
been called pu re step go od s (or lum py goods ) because their creation
4. I am ind ebted to Jack Hirschleifer for this characterization of my approach . I developed
this approach, as well as the arguments in this paper, in ignorance of the trailblazing
paper of Frohlich et al. (1975), who also insisted that free-rider problems have to do
with the shap e of [individu als'] utility functions and of the production function go vern-
ing the supply of the collective good (p. 328). However, to make this point, they
followed Schelling (1973) in employing a graphical representation of n-person, binary
choice games with externalities in which the number of contributions to the good is
represented on the horizontal axis and an individual's benefit from the good is repre-
sented on the vertical axis. Although this technique enabled them to show that some
free-rider problems are not prisoner's dilemmas, it did not allow them to show that,
dep end ing upo n the extent to which a collective good is (or can be) produced in larger
or smaller increments, a variety of (primarily coordination) problems can arise in con-
necting possible producers to the good's (naturally or artificially defined) increment(s).
In this paper I am ex perimenting with the use of a different technique in order to make
this general p oint.
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FREE RIDERS ND COLLECTIVE GOODS
49
Aaount
of
Good
Total Contributions
FIGURE
3
involves taking
one big
production step
and no
more. Examples
of
these
goods include
the
election
of a
political candidate
and
objects such
as
bridges (half
a
bridge
is no
bridge
at
all). We
can
define this type
of
good
using
the
following step function: 8 x)
=
0
for x < c; = k for
x
2 c.
Other goods come into existence in degrees of quantity or quality,
and successive contributions to their production result in further incre-
ments of the good (in quantity or quality). I call such goods increm ental
collective go od s. They can vary from being quite ste pp y, as the graph
in Figure 3 represents, so that a certain fairly large contribution level
must be reached in order for an increment of the good to be produced
(for example, the co nstruction of railway lines connecting small towns),
to being completely continuous such that any contribution, no matter
how small, will result
in
some increase
in the
good (e.g., clean
air or
clean w ater), until some n atural bo und ary is reached.
Let
us
define
the
function
in
Figure 3
as
follows: G
v
=
o
2 A#° where v is
the total number
of
increments produced
(at a
given contribution level)
and Ag
a
is the ath
increment
of the
good. Note that
we can
define
a
continuous incremental good
as a
function
of
contribution level (c)
in the
following
way:
G c) = dg(c')
c'=0
where g is a function which takes contribution levels as arguments and
which measures the rate of increase in the amount of the good being
produced.
Finally, collective goods
can
have
a
mixed structure .
For
example,
bringing
a
collective good into existence
can
initially require
a
large
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250 JEAN HA MP TO N
production step bu t increasing this good in quality or quan tity thereafter
can require only small contributions over a certain range. Hence, al-
though creating a minimally effective bridge over a river is a step good,
this bridge's strength and effectiveness might be increased by reinforc-
ing its structure up to a certain point, so that after a certain large step
such as the one represented in Figure 2, the good subsequently has the
sort of incremental or continuous structure which is represented in Fig-
ure 3, and which we could describe using the following step function:
dx
=0 for
x <
c;
= f(x)
for
x
5= c where f x) is a function with /(c) =
k
a nd
which monotonically increases (where it may or may not be continuous).
Or we might have a partial step good in reverse , that is, a good which
exists naturally at some level and which does not decrease with con-
sumption until some critical consumption point is reached. This good
can be defined with the following function: O(x) = k for x =£ c and 0(x) =
C(x)
for
x > c
where / ' is a monotonically decreasing function whose
maximum value is k. (A gain /' may or may not be continuous.)
A pure step good is really just a collective good with only a single
increment, and a mixed good is just an incremental good whose incre-
ments are vastly unequal in size. So we might say that all collective
goods are incremental in different ways: some have only one increment
(these are step goods); some have more than one increment, where the
size of the increme nts can vary and w here there may or may not be some
natural bound on how many increments can be produced; and some
goods have increm ents that are infinitesimally small (continuous goods).
But for purposes of understanding the problems involved in producing
collective goo ds, there is a significant distinction betw een w hat I will call
step goods, which have only one increment, and what I will call incre-
mental goods, which have more than one increment (and which include
mixed goods and continuous goods). This two-part classification is what
I will be primarily re lying upo n in the res t of this article.
I I I .
TH E BATTLE-OF-THE-SEXES PROBLEM IN THE SELECTION
OF PRODUCERS OF STEP GOODS
We begin by examining free-rider problems involved in step good pro-
duction. There are two places in which these problems can occur: In this
section w e will explore prob lems involved in the selection of producers to
produce the good; and in the next section we will look at problems
involved in the actual
production
of the good by those selected to do so.
To show that w ha t are called Battle-of-the-Sexes problem s are in-
volved in the selection of producers of a step good, I will use as an
example of the production of such a good, Hume's meadow-draining
project:
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FREE RIDERS
AND
COLLECTIVE
GOODS
251
Two neighbours may agree to drain a meadow, which they possess in
common; because 'tis easy for them to know each other's mind; and each
must perceive, that the immediate consequence of
his
failing
in
his part, is,
the abandoning of the whole project. But 'tis very difficult, and indeed
impossible, that a thousand persons shou'd agree in any such action; it
being difficult for them to concert so complicated a design, and still more
difficult for them to execute it; while each seeks a pretext to free himself of
the trouble and expense, and wou'd lay the whole burden on others. (Ill,
ii,
vii
[1978,
538])
I will interpret Hume's remarks so that the situation has the following
structure.
1. Draining the meadow is a collective good: i.e., it is indivisible, non-
excludable, and a benefit to the grou p.
2. It is a step good. It does not make sense to say that the drained
meadow can be increm entally increased in either quan tity or quality
after it comes into existence.
3. Individual production costs and benefits from the good are well de-
fined and commonly known, so that individual preferences for pro-
ducing the good are commonly know n.
4.
The group involved in producing the good is what Olson (1965, pp.
22-36 and 48-50) calls laten t as opp osed to privileged because
there is no individual in the group for whom V, — C
T
>
0. Here and in
the rest of the paper V, is the amount of benefits to the ith individual
and C
T
is the total cost.
5. Production costs can be split in a variety of ways among the 1,000
group members (that is, the group can define production units in a
variety of ways, and assign any number of group members to these
units), but the minimum number of people capable of producing the
good is two .
6. Finally, individual costs to prod uce the good are not retrievable. An
individual cannot recoup whatever he pays to drain the meadow
(e.g., monetary costs) before the good's production is completed.
We shall vary each of the last four features of the example in this and the
next section in order to reveal different types of free-rider problems in
the production of step goods. But supposing all six hold, what is the
game-theoretic structure of this situation?
Consider that., in order to get the meadow drained, Hume's people
must not only decide how many of their number shall participate in the
good's production (as we noted, it must be at least two), but they must
also decide who these producers will be if they choose a number below
1,000.
So they have potentially a two-pronged selection problem here:
they m ust determ ine the nu m ber of produce rs, and they mu st define th e
identity of these producers. Assuming people are largely self-interested,
what are their likely preferences in this sort of situation? We wou ld need
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252
JEAN HAM PTO N
a 1,000-person matrix to represent them properly, but because I have as
little inclination to provide such a matrix as the reader has to see one, I
will simplify the situation by supposing there are only three people
involved, and then describe their preferences so as to reveal the game-
theoretic structure of this type of situation, whether there are three
people or 1,000 peop le involved .
5
Clearly each player would most prefer the outcome in which the
other two players drain the meadow and she languishes at hom e, eventu-
ally enjoying the good produced at no cost to her. Next best is the
situation where all of them share the work to be done, which is better
than the situation where she and only one other player split the work
between them (doing half of the work is worse than doing a third of it).
But this option is substantially better than the situation in which the
meadow isn't drained because none of them or only one of them is
willing to do it, and of course the worst situation for each of them is
where she puts in work almost equal to the benefit to be received from
the good to be pro duced , bu t is never assisted by anyo ne else, so that the
good never gets produc ed and she loses wh atever resources she put into
the attempt to produce it.
There is a nice sense in which each player in this sort of game wants
to ride free on the backs of the othe r players , insofar as each wants the
others to do the work involved in getting the good produced so that he
or she can enjoy the benefits of its production for free. Nonetheless, the
game is not a prisone r's dilemm a. A prison er's dilemm a is one in which
noncooperation dom inates over cooperation. But in this situation, nonco-
operation does not dominate. Although you should refuse to cooperate
if you think that the other two people will do so, you should not refuse -
that is, you sh ould vo lunteer to pay the cost of draining the m ea do w -if
you think that only one, and not the other, is willing to volunteer. It is
better for you to do the work to get the meadow drained than to let the
meadow go undrained. And of course you know that every other per-
son's preferences are the same as yours. Like you, they want to try to
get out of the wo rk, but like you , they also would rather do the work
than see the project a ban don ed.
This is a three-perso n, mixed-m otive or non-zero sum game
much discussed in game-theoretic literature. Luce and Raiffa (1957, pp.
90-94, and chapte r 6) call it the Battle-of-the-Sexes gam e after their
unfortunately sexist example of a husband and wife who each prefer
different evening activities (he prefers prize fighting and she prefers
ballet) but who would also rather go out with the other to his or her
favorite evening activity than to go to his or her own favorite alone. In
5. In Ham pton (1986, p. 151) I pres ent a 3-D matrix representin g preferences in a battle-of-
the-sexes gam e.
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FREE RIDERS ND COLLECTIVE GOODS
53
PERSON X
ACTION
A
ACTION
B
PERSON Y
ACTION
A
ACTION
B
1 . 2
3 . 3
3 , 3
2 , 1
FIGURE
4
order
to
facilitate
the
discussion
of
this game,
a
simplified two-person
version of it is given in the m atrix in Figure 4.
This type
of
interaction problem
is
still
on the
coordination side
of
the
game-theoretic spectrum since coordination of interest predominates and
there
is
more than
one
coord ination equilibrium (represented
by the
upper left and lower right cells) where this notion is stronger than a
Nash equilibrium
in
that
it
denotes
an
outcome
in
which
no one
would
be better off if any one player, either himself or another, acted differ-
ently.
6
In
this situation
the
parties are rational
to
reach
an
agreement
on
their actions so that o ne of these equilibria will be realized. However, the
relative advantages
of the
different coordination points introduce
con-
flict that mig ht prev ent them from coming to an agreem ent.
I have already hinted that there is ano ther battle-of-the-sexes prob-
lem that
can be
involved
in the
production
of
this type
of
good.
In the
meadow -draining example there appears to be a variety of ways of split-
ting costs such that considerably more than two people-maybe even
all
1,000 of the m -co uld participate in the good's production. A nd although
everyo ne will believe
it is in his or her
interest (as well
as in
the interest
of the group as a whole) to split the cost in some way, there might be
much disagreement among them about
the
way
to
split it. So
the
group
faces
a
battle-of-the-sexes problem not m erely over who will pay the cost
to produce
the
good
but
also over
how to
split those costs
in the
first
place. (Note that if they decide to split the costs equally among all the
members
of the
group, there will
be no
further battle-of-the-sexes prob-
6. This formulation is from David Lewis (1969, p. 14)
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254 JEAN HA MP TO N
lem involved in selecting producers, although this outcome is not a
coordination equilibrium and so will not be stable.)
This analysis should illustrate
the
following point: free-rider problems
have
to do
with
the
relationship between
the
productive units
of the
good
and
individual costs
in
the comm unity.
Battle-of-the-sexes problems occur when
there is no one way to link individuals in the group to productive units
of the step good: either the units are fixed but the number of individuals
who would find it rational to join their fellows in producing these units
is greater than the number of units; or the units are not fixed, in which
case there are a variety of ways in which individual producers can be
linked to the (artificially defined) productive units.
7
The fact that
the
battle-of-the-sexes game
is a
type
of
coordination
game is critical in dete rmining w hat strategies are effective in solving it. I
have discussed the complicated issues involved in the solution of this
type
of
game elsewhere
(see
Hampton,
1986,
chapter
6.5.)
Suffice
it to
say here that the task of the players is to effect coordination on one
coordination equilibrium, where this
can be
done
via
explicit agree ment
or via the generation of a convention on a salient coordination equilib-
rium by the players. The latter non agre em ent solution to these dilem-
mas requires that the players determine the likelihood that the others
will pursu e
any of the
possible coordination equilibria,
and
clearly,
any
one playe r's estimation of probabilities h ere de pe nd s in part on what she
7.
Without actually presenting this battle-of-the-sexes analysis of free-rider problems in
step good production, the discussion of Frohlich et al. (1975) strongly sugg ests it. O ther
theorists whose discussion of free-rider problems suggests this game include James
Buchanan (1975, p. 37f) and Brian Barry (1982, p. 56). Taylor and Ward also come close
to presenting
it, but
they mistake
the
battle-of-the-sexes structure
of
this situation
for
the game of chicken, presented later in Figure 8. There is a big difference between the
game of chicken, w hich is a game of conflict, and the battle-of-the-sexes dilemm a, w hich
is a type of coordination game with some conflict of interest. The former has only N ash
equilibria, the latter has coordination equilibria; and whereas the former poses the
question, "Do we cooperate? , the latter poses the question, "How do we cooperate?
Taylor
and
Ward mistakenly assimilated
the two
because they defined (what they
called) the family of chicken games as games in which it is rational for a player to
attempt a pre-comm itment strategy, that is, one in which the player b inds himself to
his favorite outcome, thereby forcing the other player(s) to pursue that outcome (on
pain of irrationality) also. However, this strategy is advised not only for players in a
chicken game but also for players in a battle-of-the-sexes dilemma, each of whom
should
try to
bind himself irrevocably
to his
favorite coordination equilibrium, thereby
forcing
the
other player(s)
to
accept
it or
else lose
all
chance
of
realizing
a
desirable
coordination outcome. It turns out that one cannot define chicken gam es in terms of a
strategy that those who are in a significantly different game-theoretic situation would
also be rational to follow. Non etheless, as we shall discuss later, Taylor and Ward are
right to think that some free-rider problems are true chicken games. Our analysis will
show that these chicken games arise
not in the
context
of
getting
the
producers
of a
collective good selected, but rather in the context of getting previously selected produc-
ers of the collective good to pe rform.
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FREE RIDERS
AN D
COLLECTIVE
GOODS
255
believes the others believe about which coordination equilibria she will
pursue.
This analysis sho w s tha t if, in the course of deliberating about being
one of the producers of a step good, I reason in the way that Rawls
describes, re gar di ng] th e collective action of othe rs as already given
one way or the oth er , then I am reasoning fallaciously. Because this is a
situation calling for coordination, it is what Elster (1979, pp. 18-19, 117-
23) calls a strateg ic situation . W hereas a param etric choice situation
is one in which the actor's behavio r is the sole variable in a fixed environ-
ment, a strategic situation is one in which an actor's behavior is but one
variable among others, so that his choice must take into account his
expectations of these others' choices even as they must take into account
their expectations of his and others' choices. The choice situation just
described qualifies as strategic because whether others will volunteer to
be the good's producers depends in part upon their expectations of
whether I or other members of the group are willing to do so. In this, as
in any coordination ga me , each person should make her decisions mind-
ful of her strategic situation, aware that her preferences will have an
effect on the other players, whose preferences will have an effect on
hers. If she reasons param etrically (as Rawls essentially suggests), she
is not trying to effect a coordination of all the players' actions; instead
she is treating the rest of the group as a single entity unmindful of her,
believing that their choices are fixed independently of what she will
choose (although she is not sure quite how) such that her choice is the
sole variable in the environment. The analysis in this section shows that
such reasoning is mistaken.
How ever, a reader might wonder w hether a parametric choice in this
situation will be not on ly justified bu t also inescapable if the actor does no t
have adequate information about what others' expectations and prefer-
ences are and thus has no easy way to coordinate his actions with them.
W henever such a lack of information exists, feature 3 of Hu m e's meadow-
draining case does n ot
hold:
that is , individual costs and benefits involved
in the good 's production are not commonly kno wn . And if there is no way
to persu ade som eone to provide that information, it
is
impossible to make
one's choice responsive to others' expectations, so that one must choose
parametrically, u sing an expected utility calculation in which one tries to
estimate the probability that one is necessary to the production of the
collective step good. There are a variety of ways in which this calculation
might go, but if one's estimate of the probability is sufficiently low, one
will conclude that it is not rational to contribute; and if everyone comes to
this conclusion, the collective good will not be produced.
But this lack of information does not make the battle-of-the-sexes
structure of the situation disappear, as Pettit (1986, pp. 369-70) has
argued; instead, it makes the achievement of coordination in this battle-
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256 JEAN HA MP TO N
of-the-sexes situation virtually impossible because there is no way that
the players
can
develop
or
come
to
know
of a
salient coordination
equilibrium
at
which
to
aim. This point
is
im portant
not
merely
for the
sake of getting the game-theoretic structure of the situation right, but
also for the sake of understanding how to solve it. Whereas peop le fail to
cooperate in a prisoner's dilemma because it is individually irrational to
do so, in the situation just described people fail to cooperate because
there is a dearth of information enabling them to coordinate on a coopera-
tive outcome. If that information is supplied, cooperation is possible.
The economic geom etry of the situation is different, so that the prob-
lems preventing cooperation,
as
well
as the
remedies that will effect
it,
differ in
the
tw o cases.
Indeed,
the
fact that
we are not
dealing with
a
prisoner's dilemma
can explain why it is possible to credit the success of (what appear to be)
latent groups
in
providing collective goods
to the
work
of
political
en trep ren eur s. These are people willing to pay the cost of providing the
information necessary to produce public goods because they perceive
that this activity will pay off for them
individually
in a big way; e.g., it
might enhance their careers or increase their power. But political en tre-
preneurs couldn't, for example, organize the building of a bridge if
people really were
in a
prisoner's dilemma situation
in
which noncoop-
eration dominated. That
the
people face
a
coordination problem
in get-
ting the good produced, only lacking an organizer who can help effect
the coordination
by
obtaining
the
needed information,
is
something that
his organizational activity pres upp ose s.
Estimates of how often lack of information will attend the produc-
tion of step goods are hard to make from a philosopher's armchair.
Economists and other social scientists are in a better position to make
these estimates than I am. But one won ders w hether, even if the prob-
lem were common, political entrepreneurs would frequently be available
(or recruitable, if the gro up had the resources to pay them in some way)
8
to help resolve it, paving the w ay for voluntary cooperation.
Feature 3 also does not hold when information about the cost of
producing the step good is lacking. In this sort of situation, it would be
reasonable for the group to make an estimate of the cost, and then
proceed to try to find producers to pay it such that the good will be
produced.
But if I am
deciding wh ether
or not to be a
producer,
I
will
note that
as
long
as the
other p roduc ers pa y their share
of
the estimated
cost,
my
contribution might
not be
necessary:
if the
estimate
is
wrong,
then either it is too high, in wh ich case the good will be produced by the
others without my contribution, or the estima te is too low, in which case
8. Frohlich et al. (1970, p. 119) suggests that groups may find it rational to subsidize
voluntarily the pay of political entrepreneurs.
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FREE RIDERS AND COLLECTIVE GOODS
257
the good will not be produced even if I do contribute. Of course, the
better the estimate and the higher my stakes in getting the good pro-
duced, the more likely an expected-utility calculation will dictate that I
produce. But w hen the estimate of the goo d's cost is poor, and/or wh en
one's stakes in getting it produced are low, an expected-utility calcula-
tion will likely dictate against pro duc tion. Perh aps the grou p might have
certain devices available to them that could remedy this situation; for
example, they might deliberately overestimate costs but then allow some
individuals whose contributions prove to be unnecessary to retrieve
them . But if such rem edies a re not possible, then the group is once again
faced with a s i tuat ion which, although still a battle-of-the-sexes problem, is
very difficult to solve coopera tively.
Finally, feature 3 doe sn 't hold if the step goods are themselves vague,
in the way tha t, for exam ple, a he ap of stones is vague. Such vague-
ness in the definition of these goods encourages people to reason in a
way that has been associated with wha t is called the Sorites paradox .
9
Each possible contribu tor may reason, My contribution to the hea p is
unnecessary; either the pile that exists already qualifies as a heap, in
which case my stone doesn't contribute anything to the heap's produc-
tion; or the pile is not a heap, in which case my adding one stone to it
won't suddenly cause it to be a heap, meaning that, once again, my
stone do esn 't contribute any thing to the hea p's production. Note that
this reasoning will be duplicated no matter
what
the e stimate of stones
needed to produ ce the he ap . In this situation, each member of the group
will believe she faces no t a single prisoner's dilemm a b ut wh at I will call
an ordered game set of prison er's dilemm as. For any estimate of wha t
is necessary to produce the good by some number
K +
1 producers
where K ranges from 0 to n - 1 (assuming there are n members of the
group), then Figure 5 shows how an individual will reason when deter-
mining w hethe r or not to join with
K
other producers to pay her sh are of
the estimated cost. Here it appears rational, no matter what the others
do, for her not to produce her share of the estimated cost. But Sorites-
like reasoning is supposed to be a
mistake,
so that the situation ought to
have a battle-of-the-sexes structure. There are, thus far, no uncon-
troversial proofs showing how it is fallacious, a lthoug h even were one to
be given, it still seems to be the kind of (fallacious) reasoning that people
would find te mp ting, to the detriment of the grou p.
Let me conclude this discussion of producer-selection problems in
step good p roduc tion by varying features 4 and 5 of Hu m e's example in
order to see how the production of the step good is affected.
9. See Tuck (1979, p. 152), who cites Crispin Wright's argu me nt (1976, pp . 223 and 247)
that this paradox arises out of the vagueness of our criteria for defining certain entities,
such as hea ps.
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258
JEAN
H A M P T O N
THE COLLECTIVE
PRODUCE
NOT
PRODUCE
THE
INDIVIDUAL
PRODUCE
NOT
PRODUCE
2
1
4
3
FIGURE 5
Theorists have generally thought that if feature 4 doesn't hold and
the group charged with producing a collective good is privileged rather
than latent, th ere is no collective action problem in the produc tion of the
good. But this isn't true. Privileged groups can also face a battle-of-the-
sexes problem in their attempts to produce a collective good if there is
more than one person for whom the value to her as an individual is
greater than the total cost. In this case, the group must determine which
of these individuals will produce the good, or else work out a way for
them to share the production costs. Clearly it is in the interest of these
individuals to try to escape paying for the good unless doing so would
jeopardize its production . Theorists have tended to overlook the fact that
this kind of free-rider problem can exist in privileged groups because
they have concentrated only on problems involved in getting people to
pay the costs of production, rather than on problems involved in selecting
people to pay those costs. A privileged group will produce a collective
good only if it solves the selection problem .
Finally, sup pose w e change feature 5 of Hu m e's m eadow draining
case-the feature that costs can be split in a variety of ways among more
than o ne individual. If production un its of a good are fixed and uniquely
assignable to mem bers, the n there is no battle-of-the-sexes problem asso-
ciated with the selection of the good's producers; indeed, there is no free-
rider selection problem at all in this situation. Assuming tha t i t i s common
knowledge that only these members can produce the good by paying
only these units, they are rational to volunteer to produce it, because
they know it will not get produced unless they do so, and they know
that they are better off by paying their share of the cost of production
and producing the good than they are by not paying the cost and living
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FREE RIDERS AND COLLECTIVE GOODS 259
PERSON A
PRODUCE DON T PRODUCE
PERSON B
1 .1
2 , 2
2 . 2
2 , 2
PRODUCE
DON T
PRODUCE
FIGURE 6
without it. Hirshleifer (1983) has suggested that this is actually the way
people perceive their situation in times of disaster: each of them believes
he or she is the weakest link in a fragile chain of produ cers necessary
to prev ent a public bad or create a public good.
My analysis in this section has demons trated that, in general, coordi-
nation problems, rather than conflict problems, attend the selection of
producers of these goods, so that it is not the individually rational pur-
suit of collectively irrational outcomes, but paucity of information's pre-
venting successful coordination, that threatens successful production of
these goods. However, before we can conclude that there are usually no
conflict problems involved in the production of collective goods, we
need to analyze the game-theoretic structure of the situation after indi-
viduals have been chosen to produc e the step goo d.
IV . FREE-RIDER PROBLEMS IN THE P R O D U C TI O N OF STEP
GOODS FOLLOWING THE SELECTION OF PRODUCERS
How we answer the question of what sorts of problems are involved in
producing go ods after their produ cers have been selected de pen ds upo n
whether or not production costs are retrievable.
10
In my reconstruction
of Hume's meadow case, they were not; this was feature 6 of that case.
But if feature 6 does not hold and production costs are retrievable, no
further free-rider problem prevents th e good 's production (see Figure 6).
In this gam e, the preference for paying is the same as the preference
10. I am told th at aspects of the following argu me nt are know n in some circles; I do no t
know of any place wh ere they have been p ublished.
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260
JEAN HAMPTON
PERSON A
PRODUCE DON T PRODUCE
PERSON B
PRODUCE
DON T
PRODUCE
1 ,1
2 . 3
3 , 2
2 . 2
FIGURE 7
for not paying in the unilateral breach situation because any costs paid
can always be retrieved if the other produ cer fails to contribute. Thus th e
action of pay ing do minates weakly over the action of not paying .
However, there are interesting free-rider problems in the production
of these goods if feature 6 does not hold and costs are not retrievable.
One such problem is a variant of the assurance problem explored by Sen
(1973, pp. 96-9; 1967, pp. 112-24), presented in the matrix in Figure 7.
This dilemm a is a species of coordination problem with two equilibria
(the upper left and lower right cells) in which each player is rational to
cooperate if the other player coope rates, and each is rational not to do so
if the other does not cooperate. Thus, before cooperating each needs to
be assured in some way that the other player will also do so. Insofar as
the players are the designated producers (and insofar as they know that
no one who has not been designated producer will produce the good),
they cannot expect the realization of any of the outcomes represented in
the battle-of-the-sexes matrix in which they do not do the work but the
good is produced anyway. However, each knows that if all of the desig-
nated producers do their share of the work, the good will be produced
(the situation represented by the up pe r left cell of the m atrix in Figure 7),
and each also knows that if some of them don't do their share, then the
good will not be produced and those who have worked to produce the
good will lose their investment without getting any benefit from the
good (because it won't exist-this situation is represented by the lower
left and upper right cells of the matrix). Of course, it is rational for
everyone to work together to produce the good, but how can each pro-
ducer be assu red that th e othe rs will actually do so?
If, as they produce the good, they can watch one another working,
then each of them can be completely assured that the others are doing
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FREE RIDERS
AN D
COLLECTIVE
GOODS
261
their share. But if such scrutiny is not possible, and if they cannot get
information about the extent to which the others are working, should
each of them do his/her share of the production work? Elster (1979, p. 20)
notes that the maximin rule dictates against doing so. But the maximin
rule-i f it is ever ap pro pri ate -w ou ld seem to be inappropriate in those
circumstances in which one is able to estimate the probability that the
others will do their shares. (And the principle of insufficient reason
could be used to estimate probabilities in situations of complete uncer-
tainty.) If the estimate is fairly high, e.g., if there is some way in which
the better coordination point is naturally salient, then it is likely that an
expected-utility calculation will dictate performance for each of them,
and the good will be produced. Moreover, any agreement among them
to do the work required would be a way to make doing the work the
salient action in the circumstances; each would estimate the probability
of the others' doing their tasks as fairly high. [I have argued (Hampton,
1986, chapters 6.2 and 6.5) that this is the most natural way to obtain
assura nce in any coord ination game,] In any case, it seems that th e
producers in this sort of situation would have a good chance of solving
the assurance problem.
However, if there exists what I call a critical cost po int, the produc-
ers face a far more difficult problem . Consider H um e's me adow -draining
example. Suppose the battle-of-the-sexes problem in the selection of
produce rs were solved, such that you and I are supposed to drain the
me adow , w here for each of us V
t
>
ViC
T
.
S uppo se further that each of us
will do so by digging irrigation ditches in the meadow that join together
and eventually drain into a nearby river. (Thus what we pay, i.e., our
labor, is irretrievable.) We both start to work, but after each of us has
done a quarter of the total work (so that half the work remains to be
done) I run off when you are not looking, leaving you alone to do the
rest of the work . Is it rational for you to do it?
Consider that you have paid your contribution, which is equivalent
to
V*C
T
and this is a sun k cost, since you cannot retrieve your time and
effort. So if you quit now, you are without the good and also without
ViC
T
,
so that your utility is
-ViC
T
.
But remember that half the work
remains and tha t for you V, >
V2C
T
.
If you continue to work and complete
the project, your utility is V, — ViC
T
- ViC
T
, which is clearly greater than
—ViC
T
.
So you are rational to com plete the job.
Thus, for any producer of the good, whenever the remaining cost of
producing a good can be split between all the
other
producers in the
group such that, for those other players, their benefit from the good
exceeds their share of the remaining cost, then tha t individual p roducer
is rational to cease work. This calculation dictates nonperformance at
what I call the critical cost point: that is, the po int at which it is rational for
only
some
of the selected p rodu cers of the good to pay the whole rem ain-
ing cost.
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262
JEAN HAMPTON
PERSON A
PRODUCE DON T PRODUCE
PERSON B
PRODUCE
DON T
PRODUCE
2 , 2
1 , 3
3 , 1
4 , 4
FIGURE 8
If this critical cost point has been reached (and note that it might be
reached before anyone has paid any cost), what is the structure of the
game-theoretic situation faced by the producers? In a two-player game,
the matrix in Figure 8 describes the situation (e.g., in the meadow-
drainin g example) and as we see , it depic ts the game of chicken.
In this game there is no dominant action, which makes it impor-
tantly different from a prisoner's dilemma; nor are there any coordina-
tion equilibria, so that unlike the battle-of-the-sexes dilemma, it is not a
coordination game. Each player prefers the situation in which he is the
person rene ged upo n by the other, to the situation in which both renege,
whereas in a prisoner's dilemma, the latter is preferred to the former. So
in this game, if I believe you will pay the remaining share of the cost of
production, I am rational to renege, but if I believe you will not do so, I
should pay either the entire rema ining share or, as long as you continue
to put in your original share of the total cost involved, only the remain-
ing cost of my original share of the total cost. Indeed, in this sort of
gam e, if we
each
dis trust the othe r, the result will be that we will both do
the work required to get the good produ ced.
In any case, because th ere is no dom inant action in this sort of game ,
what is rational for either of us to do can depend upon a wealth of
contingencies. A nd as Taylor and Ward discuss (1982, pp. 354ff), we are
certainly well advised to try a precommitment strategy to force the oth-
ers) to cooperate while escaping that fate ourselves. So, in this kind of
situation each is trying to be a free rider, n ot in the sense that he is trying
to get out of being selected to be a producer, but in the sense that, as
someone who has already been selected, he is trying to get out of doing
some (or maybe even all) production work. Moreover, he is not (as in a
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FREE RIDERS ND COLLECTIVE GOODS
263
battle-of-the-sexes game) merely trying to score a "win" over the others
in the group, who will still "win" themselves as producers insofar as the
benefits they will get from the good exceed the cost to them of their
work; instead he is trying to score a win over others in the group who
will actually
lose
if he wins, insofar as they will end up by paying
more
for
the good produced than the benefit they will receive from it.
Note, however, that an individual's succeeding in being a free rider in
this second sense, thereby scoring a win in the chicken game, is not bad for
the collective. Of course it is bad for the loser, but the collective will still get
the good it desires. We have actually discovered a free-rider problem
which poses more difficulties for individuals than it does for groups
Nonetheless, the group will find it difficult to produce this sort of
step good if individuals realize before the producers are selected, that as
producers they run the risk of being exploited in this way. The possibil-
ity of exploitation changes the game-theoretic structure of the situation
from a battle-of-the-sexes coordination game to a prisoner's dilemma.
Each knows that if he contributes to the good's production, he stands a
high chance of being exploited by the others and paying more for the
good than he will receive from it; and he also knows that if he does not
pay anything for the good, either he will get the good for free or he will
at least not lose anything. Hence, no matter what the others do, it is
rational for this individual not to produce, since this action is both the
best defensive strategy and the best way to take advantage of an exploit-
ative opportunity. Every other individual's preferences will be symmet-
ric with his, so that no one will find it rational to produce the good.
11
What can members of a group do to change the structure of the
situation so that they can get the good produced?
1. The group can take steps to make production costs retrievable. If,
for example, paying the cost involves contributing money, the group can
make each producer pay into some kind of escrow account, such that
unless all the producers pay, the good will not be produced and the
individual's share of the cost will be returned. This strategy makes it
impossible for anyone to be an exploiter. (Note also that this strategy
solves any assurance problem involved in the good's production; I know
that I will pay to produce the good only when all the other producers
necessary to its production pay their share.)
2. Where retrievability isn't possible the group can try to destroy the
critical cost point. For example, they can use any time deadline for the
good's completion in the situation to accomplish this result. If the pro-
ducers start work at a point where each of them has just enough time to
11.
In
fact,
this is
what Pettit
(1986) calls a
"foul
dealer"
variant
of a
multiperson
PD
game,
because a lone defector makes one or more cooperators worse off than they would
have been had everyone defected.
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264
JEAN HA MP TO N
complete his or her individual share of the productive efforts before the
deadline for the good's production but no time to take on anyone else's
share, then no one will be able to exploit the other workers: if one of
them ceases work, the others will not be able to take on this work and
complete the good's production before the deadline. So, because a re-
neger can gain nothing by his reneging action (indeed, he suffers a net
loss
equivalen t to the work he inve sted ), each producer is rational, as
long as he or she can be reasonably assured of the others' performance,
to work.
3. Selective incentives can be introduced to make the exploitative
option irrational.
However, the fact that the first two strategies can be used in a wide
variety of circumstances m ean s that m any step goods
can be made to be
(if
they are not already) goods whose production poses only coordination
problems (assurance and/or battle-of-the-sexes dilemmas) to the group.
An d these are problem s w hich it is quite possible to solve (if information
and mec hanism s for coordination exist) without the help of the state.
V. THE GAME-THEORETIC STRUCTURE UNDERLYING
THE
PRODUCTION OF INCREMENTAL GOODS
What about the production of incremental goods? Surely PD games
necessarily attend their production, so that the introduction of sanctions
will be required to get them produc ed at optimal levels?
To see if this is so, I want to discuss the production of these goods
using a nota tion that will facilitate precision. A nontechnical sum mary of
the results follows this discussion.
Let us define an inc remental g ood (G) as follows:
where v is the total num ber of incremen ts produced and Ag
a
is the ath
increment of the good.
12
To define the cost of production of a certain
amount of incremental good, let C
r
be the total cost of producing a
certain amount of that good. In order to simplify our problem and en-
sure that C
T
is well defined, let us as sum e tha t the cost of produ cing any
part of CT is the same for any individual
13
(e.g., suppose, as econo-
12. Recall that in the case of a continu ous public good th e definition wou ld go as follows:
G c) =
I dg(c ).
13. In the real world, the cost of producing Ag° would likely vary dep end ing upon which
individual w as asked to produce it, but w e ignore this complication h ere by assuming
that the cost of producing any increment is the same for any individual. However,
note that we are
no t
assum ing that produ cing each increment of the good costs the
same amount.
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FREE
RIDERS AND COLLECTIVE GOODS
265
mists standardly do, that producing the good can be computed in
money, that the monetary cost of producing any part of the good is the
same for each individual in the group, and that individual utilities are
roughly proportional to amounts of money). We can define C
r
as 2 C,
(where
n
is the num ber of people in the group). H owever, C
T
can also be
defined as the sum of the costs
o f
each increment of the good p roduced . In
other words, there is a function relating any
Ag
to the cost
(AC)
of
producing that Ag; i.e., f Ag
a
) = AC . And C
r
can be defined as the sum of
the incremental costs involved in producing a certain amount of the
incremental good. Thus:
where
v
is the total number of increments produced. This notation al-
lows us to pick out the cost of the ath increment of the good produced
(which would be AC ).
Now the benefit that the individual receives from the production of
an incremental good is defined as a function of the good, i.e.,
/ '(O) = V,
where V, is the ind ividual's benefit received from the good 's provision
up to and including v. We must also define the individual's
incremental
benefit
AV,
from some increment of the good as a function of that incre-
ment of the good; i.e.,
f (Ag«) = AV,
where AV,
a
is the benefit the individual would receive from the ath
increment (only) of the good. Hence, we see that
0=1
where
v
is the num ber of increments of the good produce d.
Also recall that we have defined the total benefit of the good to the
group (
V
T
)
as the sum of the benefits to each individual in the group from
the good, i.e.: V
T
= J^V,, where n = the number of individuals in the
group.
Now, what is the precise nature of the problem that might arise in
the production of incremental goods? It is clear that a person is not
rational to contribute if
V ,
> AC
a
,
but rather if and only if
AV,
a
> AC ,
that is, she is rational to contribute only if the increment of benefit that
her contribution would bring to her exceeds the cost to her of providing
this increment.
14
H ence, in a situation where it is always true that AV,
V
<
AC , it is nev er rational for an individual in this group to contribute to the
good's production.
14. Again, in the con tinuo us case, the question is slightly different: Is dV/dc, 5 0?
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266
JEAN HA MP TON
K OTHERS
PRODUCE DON T PRODUCE
INDIVIDUAL
PRODUCE
DON T
PRODUCE
\.
v
ac
v
- A C
V
0
FIGURE 9
One can present people's problems in this sort of situation as in-
volving a one-shot ordered-gam e set of prisoner's dilem m as- bu t
only if one clarifies how one's attention can turn from the production
of the good's increments to the productive efforts of others
in
the
group.
Thus far, the individual's calculations have concerned whether or not
to produce the ath increment of a collective incremental good. But if
the ath increment is not the first increment, these calculations assume
that one or more people in the group will cooperate to produce the
previous increments. Suppose the individual assumes that any individ-
ual in the group who contributes to the production of the good will
contribute no
more
than one increm ent of that good (her sha re ). Each
individual then deliberates about whether she should contribute to the
good's production, where K other people in the group do so by contrib-
uting one increment (so that
v
=
k +
1). Her payoffs (in cardinal
numbers) from the various possible outcomes are represented in the
matrix in Figure 9. But if we assume that AC
> AV,
V
,
then
V,
v
-
AC
<
V
1
. So the preference orders of the individual for these outcomes are
as follows in Figure 10. These preferences match those of an individual
in a prisoner's dilemma.
Nonetheless, it is a bit misleading to say that this dilemma is
a
prisoner's dilem ma. It is in fact
a
set of prisoner 's dilemm as. Each individ-
ual must determine for each possible number of fellow contributors (in
the case whe re each will produce one increm ent), whe ther she is rational
to pay the cost of producing the next increment of the good. Hence each
individual engages in not one calculation but a set of calculations, and if,
at every level of the good's production, the cost of the increment she
would provide exceeds the benefit to her from that increment, then she
is rational to conclude that she should not contribute to the good's
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FREE RIDERS AND COLLECTIVE GOODS 267
K OTHERS
PRODUCE
DON T PRODUCE
INDIVIDUAL
PRODUCE
DON T
PRODUCE
2
1
4
3
FIGURE 10
production, no matter ho w m any other people cooperate to produce any
given level of that good.
It is importan t to appreciate that the individual m ust unde rgo a set of
calculations in this situation in order to appreciate why there can be a
very
different, non-PD -type problem involved a t some or even all levels of the incre-
mental good's production.
As we have seen, in her set of calculations, an individual must
dete rm ine the answ ers to a series of questions of the form: W hat is it
rational for me to do if x num ber of the group contribute? (And remem-
ber that her concern for the number of others contributing is simply an
indirect concern for what actually interests her, namely, the number of
increments of the good which will be produced by these individuals.)
Now it might be (as we discussed above), that at every contribution level
the cost of providing an additional increment of the good exceeds the
benefit to her from that increment. But it is also possible that at certain
levels of an incremental good's production (where a certain number of
others in the group cooperate to produce these increments) the incre-
ment of benefit produced for that individual really does exceed the cost
of that increment to her. (Indeed, this may be true at all levels.) The
graphs in Figures 11 and 12 indicate two ways of representing an incre-
mental good whose structure is such that at some levels of the good's
production, the incremental benefit to an individual exceeds her cost of
providing that increment.
15
15. Frohlich et al. (1975) also argue tha t, given certain produc tion functions of a collective
good , An individual could be induced to contribute voluntarily without the use of
selecting incentives if he could be persuaded that 'enoug h' others are contributing (p.
325). And to make this point they present a number of graphs, one of which (in their
Figure 7) almost exactly duplicates the graph in my Figure 12. However, in their
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line representing
AC
f(Ag)
increments
of
good
Ag)
FIGURE
contribution region
(where
V? - AC >
v-l
V,
v
- AC
increments
of
good
Ag)
FIGURE 2
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270 JEAN HA MP TO N
whether the cost
to
h er
of
doing so is greater than
or
less than the benefit
to her from that increment. If it is never the case that the cost of supplying
any increment
of the
good
is
exceeded
by the
benefit
to her
from that
increment, she is irrational to involve herself in the production of that
good, even if she would be better off with the good than without it. But
if there are som e levels of the good 's p roduction in which the benefit to
her from an increment exceeds the cost to her of providing it, she is
rational to produce it-as long as others find it rational to produce the
good up to the level of that increment, and as long as solutions have
been found
for any of the
(previously discussed) game-theoretic prob-
lems (e.g., battle-of-the-sexes, assurance, or chicken problems) involved
either
in
selecting produ cers
for the
good
or in
getting them
to
produce
that level of the go od.
I suspect that
the
complicated gam e-theoretic structure underlying
the production of incremental goods has been missed b ecause it is very
easy to believe tha t the appropriate way of reasoning in these situations
is: sup pose everyone contributes . . . suppose no one contributes -
assuming, in other words, that the actions of others are given when in
fact they are not. In particular, such reason ing will cause one to miss the
rationality of contributing to the production of a good in which benefit
exceeds cost only
at
m edium levels
of
the goo d's p roduc tion. Sorites-like
reasoning may also mislead one about the good's structure: one can
believe that
the
incremen t o ne will produce will
be
imperceptible
and
hence unnecessary. Of course, it would indeed be imperceptible in
one sense
if the
benefit
one
received from that increm ent
was so
small
that the cost of providing it exceeded one's benefit from it, but it is this
latter calculation one should be concerned to perform. Unless one does
so , dismissing the idea of contributing an increment of the good on the
basis of its smallness alone is irrational.
Empirical estimates
are
needed
in
order
to
determine
how
many
incremental goods do not pose prisoner's dilemmas at all levels of the
good's production.
But
even
if
there
are a
significant number, just
be-
cause it is utility-maximizing for individuals to pay the cost of producing
the incremental good
at a
certain level, doesn't mean that producing this
level of the good is optimal for the group. Hence, the group might still
find
it
necessary
to
introduce selective incentives into
the
situation
in
order to get an incremental good produced at optimal levels. So haven't
we finally discovered the area of collective good production which is, as
the traditional analysis suggests, plagued by PD games requiring sanc-
tions for their so lution?
Not necessarily; voluntary production at an optimal level of even
t hese goods
is
still possible
if their increm ents can be restructured in the right
way. That is, if the group desiring such a good is able to make certain
levels
of the
production
of the
good impossible, such that
it
can only
be
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FREE
RIDERS AND COLLECTIVE GOODS
271
produced in one or more large ste ps , the production of the good at an
optimal level might pose only a battle-of-the-sexes problem. Suppose,
for example, that a security service approached a neighborhood haunted
by frequent burg laries and offered to provide pa trol service for the neigh-
borhood, with the number of hours of the patrol per week depending
upon the number of households paying for the patrol. If the security
service offered to make the num ber of ho urs strictly de pe nd en t up on the
number of households contributing (for example, each new contributing
household might pay for two more hours of patrol per week), the neigh-
borhood would be asked to produce an incremental collective good and
each household might find it individually rational not to pay for its two-
hour increment of patrol no matter how many other households did so
(i.e.,
each household might find itself facing a coordinated set of prison-
er's dilemmas). But suppose the security service said that it would, at a
minimu m, prov ide patrol for half of the hou rs (50%) of the week as long
as it got 40% of the households contributing, but that if less than 40%
contributed it would provide no hours of patrol (and any contributions
made would be returned to these households). In this second offer, the
security service has made an incremental good into a good with at least
one large step, and residents of the neighborhood would now have to
determine whether they would be better off paying a certain share of the
cost of producing this large step than they would be if they refrained
from d oing so. Supp ose tha t the security service asked each of the house-
holds making up the 40% to pay for the equivalent of one hour of the
half-week patrol. Each household would then calculate whether or not it
was rational to pay for this hour-its share of the cost of this half-week
patrol - b y determ ining w heth er or not the cost of doing so was exceeded
by the benefit to it of the half-week
patrol.
In other word s, instead of
compar ing the
cost of providing an increment
of security with
the benefit it
would get from that increment,
each househo ld would now compare
its
share of the cost of providing 50% of the incremental good,
wi th
the benefit it
would get from 50% of the incremental good.
An d w hi le cont r ibut ing on the
basis of the first comparison is likely to be irrational, contributing on the
basis of the second com parison could well be rational. So, by transform-
ing the situation into the produc tion of a good that has a very large initial
step,
the security service has ensured that only the (primarily coordina-
tion) problems involved in step good production will be involved here.
16
Recall at the outset that I said the distinction between incremental
goods and step goods was not sharp. The last example illustrates this
point. Those collective goods that come in more than one increment can
16. Although they do not explicitly purs ue this restructuring idea, Frohlich and O ppe n-
heim er (1978) sugg est it wh en they insist that successful political action based solely
on the individual's incentives to obtain the collectively supplied good requires mar-
ginal cost sharin g (p. 63).
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FREE RIDERS AN D COLLECTIVE GOODS
273
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