Arbitration and bargaining across the pacific.
Deck, Cary ; Farmer, Amy ; Zeng, Dao-Zhi 等
1. Introduction
The increasingly global nature of the economy increases the
likelihood of disputes between geographically and culturally separated
people from different nations. These international interactions
increasingly extend to labor relations, business contracts, and legal
conflicts. To the extent that cultural norms and other factors that may
vary with nationality affect concepts of fairness, patterns of
negotiation, or even beliefs regarding the proper procedure for settling
disputes, these differences may increase the degree of conflict or make
the probability of self-negotiated settlements decline. This creates an
imperative that we understand the role that such differences play in
conflict resolution in order to facilitate negotiations and/or choose
dispute resolution procedures that can encourage settlements.
A significant literature has addressed international negotiations
in a variety of contexts; this literature identifies how individuals in
various countries behave differently in dimensions that may matter for
resolving conflicts. While this information is critical to understand,
the literature has failed to ask whether these preferences or behaviors
vary when people interact with a fellow countryman or a foreigner. In
other words, do the identified differences change when agents are
working with individuals outside of their own nation or culture? Leung
(1997) argues that despite a plethora of research on cultural
differences in negotiations, there is a lack of research on
intercultural negotiations. This paper helps to fill this void through
laboratory experiments in which subjects in the United States and Japan
interact in real-time final offer arbitration negotiations, not only
within their own groups but also across groups. As such, we are not only
able to identify differences in within-group behavior; we are also able
to identify how subjects alter their behavior when bargaining across
international and cultural boundaries. We find that such changes in
behavior do occur, suggesting that the vast literature identifying
cultural differences is incomplete in helping us understand the
interactions of agents. This finding is of importance irrespective of
the specific form of negotiations or the countries involved; rather, in
documenting behavioral changes when agents bargain across cultures, this
research suggests that the quickly expanding literature documenting
cultural bargaining differences may not generalize to negotiations
between agents of different cultures.
The specific form of dispute resolution addressed in this paper is
final-offer arbitration (FOA). In the United States, arbitration is
widely applied in settling disputes that fail to be negotiated. (1) FOA
requires that each party formally submit a final offer, and an
arbitrator then selects one. Contrary to the standard usage, in FOA an
"offer" is the amount of money a party is requesting for
herself. Proposed by Stevens (1966), FOA has been employed in Major
League Baseball since the 1970s to resolve salary disputes for players
who are not yet eligible for free agency and can only bargain with their
current team. It also has been applied to settle public sector labor
contract issues, where the right to strike is not available to laborers
in many countries. As we outline below, there has been an inability for
researchers to fully explain agents' behavior in FOA. Given that
individuals deviate from theoretically predicted behavior, it is
possible that beliefs and social norms--factors that could vary by
culture or nationality--may influence behavior. To the extent that we
can identify such behavior, this work also contributes to the
arbitration literature seeking to understand the failure of agents to
settle when they are predicted to do so.
Specifically, this paper compares pre-arbitration bargaining and
the performance of FOA within and between residents of two countries:
the United States and Japan. (2) We have two reasons for this choice.
First, Japan and the United States have been major trading partners for
several decades (Graham and Sano 1989), and a successful dispute
resolution method has implications for both economies. Second, the
nations are geographically separated and many papers find that they are
quite different in cultural background. For example, Hofstede (1980,
1991) and Schwartz (1994) argue that these cultures differ in two
important dimensions: Japan is generally considered collectivist and
hierarchical, while the United States is individualistic and
egalitarian. (3,4) Buchan, Croson, and Johnson (2004) find that the
people in these two countries have different viewpoints of fairness and
the role of power that might determine their bargaining behavior. In
addition to studies documenting differences in values and bargaining
culture, Lituchy (1997), Brett and Okumura (1998), Beard, Beil, and
Mataga (2001), and Oosterbeek, Sloof, and van de Kuilen (2004) find that
economic behavior differs significantly between these two countries in
many situations. However, Slemrod and Katuscak (2005) find that both the
United States and Japan are societies that exhibit high levels of trust,
potentially making economic transactions across national boundaries less
difficult.
It is difficult to investigate the issue using field data. While
naturally occurring data from FOA are available from the United States,
(5) its application in Japan is rare. (6) Therefore, we rely upon
laboratory methods to make this cultural comparison. Laboratory studies
also have the advantage that the experimenter can control factors that
typically vary across naturally occurring disputes and are often
unobservable. For example, in the lab we can control the information
each party has about the arbitrator's preferences and the cost of
going to arbitration. This could be potentially important in our
examination of interactions across the two cultures.
As a prelude to our experimental results, we find that the average
settlement rates were lower within Japan at 64% than within the United
States at 70%, but the difference is not statistically significant. When
agents bargain internationally, we observe a significantly higher
settlement rate of 82%. In part, this result may be due to the increased
amount that U.S. disputants demand when facing a Japanese rival.
Importantly, these results indicate that bargainers alter their behavior
when faced with an opponent from the other country. While this study
documents such changes in a specific bargaining environment between two
specific countries, it suggests that in addition to fully understanding
this application, the literature comparing intracultural negotiations
across cultures is incomplete and potentially misleading.
This paper is organized as follows: Section 2 provides a more
extensive discussion of the literature, section 3 presents a basic model
of FOA, and section 4 describes our experimental design. The results are
presented in section 5, followed by conclusions in section 6.
2. Literature Review
Relevant Arbitration Literature
Under FOA, an aggressive offer that requests a large share is
likely to lose, resulting in the opponent's offer being
implemented. Therefore, researchers originally expected disputants to
present compromising offers in the arbitration process. However,
game-theoretical studies showed that the offers are unlikely to converge
when the arbitrator's notion of fairness is not completely known to
the disputants (see Farber 1980; Brams and Merrill 1983). Despite this
result, rational disputants are still expected to reach an agreement in
the pre-arbitration negotiation process because it is rational to save
their arbitration costs. In other words, the costs create a contract
zone within which disputants prefer to settle rather than pursue
arbitration. (7) Despite this prediction, real-world disputes frequently
enter the arbitration process.
Many authors have addressed the puzzle of why players do not behave
as theory suggests. For example, Shavell (1982) and Priest and Klein
(1984) argue that settlement failure arises because parties make
mistakes in their assessment of the disputes. Bebchuk (1984) and
Reinganum and Wilde (1986) also stressed the role of asymmetric
information in explaining settlement failure. However, the empirical
study of Farmer, Pecorino, and Stango (2004) shows that even in cases
where information is widely available, such as baseball labor
negotiations, the disputants often fail to settle.
The lack of pre-arbitration settlement has consistently been
observed in the laboratory through a variety of experimental designs and
arbitration mechanisms. Ashenfelter et al. (1992) compare FOA with
conventional arbitration and tri-offer arbitration, all of which are
used in practice; Dickinson (2004, 2005) compares FOA and conventional
arbitration with combined arbitration of Brams and Merrill (1986) and
double-offer arbitration of Zeng, Nakamura, and Ibaraki (1996); and
Deck, Farmer, and Zeng (2007) compare FOA with amended final-offer
arbitration of Zeng (2003). (8) With the exception of Deck, Farmer, and
Zeng (2007), settlement rates for FOA are typically below 50% in the
lab.
Relevant Cultural/Nationality Literature
The above arbitration studies draw upon data from the United
States. Culture and national character are believed to play an important
role in economic decision making, which in part may explain why observed
behavior deviates from the predictions of positive game theory. In fact,
recent laboratory research has already identified the potential role of
cultural norms in influencing economic outcomes. For example, Roth et
al. (1991) have investigated the difference of bargaining and market
behavior across four countries. Their results are amplified by Henrich
(2000). Although cultural factors are not explicitly incorporated in
game-theoretical models yet, it is natural to guess that dispute
resolution depends on culture, since it is related to egoism, fairness,
equality, and reciprocity, which appear to be sensitive to cultural
socialization. Given the increase in globalization, it is critical to
understand how culture affects behavior and arbitration outcomes both
across and between cultures.
International relations scholars have been investigating the role
of culture for some time. (9) In an effort to refine our knowledge of
the influence of culture, Elgstrom (1999) finds that culture matters
more under certain circumstances than it does under others. Following
that, Bercovitch and Elgstrom (2001) find that four out of five specific
measures of cultural differences produce failed mediation results.
Moreover, not only do cultures differ in their approaches to
international relations negotiations, there are also significant
differences in beliefs regarding the appropriate procedures to utilize
in the process of bargaining. Specifically, Fu et al. (2002) find that
Chinese and Americans exhibit differences in choosing an appropriate
mediator: Chinese agents prefer mutual acquaintances, while Americans
prefer a party that is unconnected and disengaged from the situation. As
mentioned above, a number of studies document possible differences
between U.S. and Japanese negotiators (see Hofstede 1980, 1991; Schwartz
1994; Yoshimura 1997; Brett and Okumura 1998; Beard, Beil, and Mataga
2001; Buchan, Croson, and Johnson 2004; Oosterbeek, Sloof, and van de
Kuilen 2004; Slemrod and Katuscak 2005). (10)
Similarly, Lew and Shore (1999) find cultural differences in
cross-examination procedures in litigation settings. With regard to
arbitration specifically, Gans (1997) advocates for the use of informal
procedures prior to invoking formal arbitration procedures, citing that
Japanese businessmen expect to solve their problems themselves. Finally,
the president of the American Arbitration Association, William Slate II,
cites the importance of cultural understanding, noting that
international arbitration procedures are increasingly becoming a blend
of cultural procedures and practices. (11)
In addition to direct examination of cultural differences in
international conflict and preferences for dispute resolution
mechanisms, there has been considerable research on how differences in
individual behaviors, beliefs, and preferences are expected to impact
how agents behave in arbitration. Kilbourne, Grunhagen, and Foley (2005)
identify differences in materialism across cultures, while Brandts,
Saijo, and Schram (2004) find differences in spite and cooperation
behavior in voluntary contribution mechanisms. Buchan, Johnson, and
Croson (2006) examine the role that nationality plays in a set of
"other regarding preferences" (trust, reciprocity, and
altruism), all of which would likely influence behavior in arbitration.
Specifically, they find that the U.S. subjects trust in-group members
more than out-group members, and they find the opposite pattern from
Chinese subjects.
However, most of this literature investigates only the differences
on various dimensions within a country, not whether these differences
change when interacting with members of other countries. Even Brett and
Okumura (1998), who led the way in comparing the outcomes of
intercultural negotiations between the United States and Japan with
intracultural negotiations, did not examine whether individual subjects
alter their behavior when facing an opponent across cultures; rather,
they simply show that the interaction across cultures interferes
"with the creation of joint gains ..." (p. 507). However, it
is unclear exactly what this means, as participants were not compensated
based upon the negotiated outcome, a shortcoming of Lituchy (1997) as
well. (12) In fact, both of these studies also suffer from confounding
factors in their subject pools. Lituchy (1997) draws conclusions
regarding Japanese subjects from subjects in the United States for
intercultural negotiations, but from subjects in Japan for intranational
negotiations. Brett and Okumura (1998) drew participants from three
distinct populations, all inside the United States, for each of their
three treatment conditions. Further, they actively tried to discourage
Japanese participants who could not speak English well.
3. The Model
The game-theoretical model of FOA is simple. Consider two
risk-neutral disputants deciding how to allocate a known fixed sum of
money, [PI]. The game consists of two stages. In the first stage, two
disputants (players) bargain with each other and try to reach a mutually
agreeable resolution. If they fail, then they proceed to the second
stage, in which arbitration occurs with cost c to each disputant. In
arbitration, the arbitrator is assumed to have a belief regarding the
fair share for disputant 1, which we denote by z. Thus the fair share
for disputant 2 is [PI] - z. Neither disputant knows z exactly. For the
sake of the experiments, we assume that z is distributed as a random
variable on [0, [PI]] with uniform distribution. (13) The randomness
regarding the fairness might result from the fact that different
arbitrators have different notions of fairness and the indeterminacy in
selecting arbitrators (Bloom and Cavanagh 1986). For example, on October
25, 2005, Tokyo District Court handed down contradictory rulings in two
separate compensation suits filed by former Taiwanese and South Korean
leprosy patients who were locked up in special isolation facilities
during Japanese colonial rule. One judge ruled that the Taiwanese
plaintiffs were entitled to compensation, but the other judge rejected
the case for South Koreans (Asahi News, October 26, 2005).
Alternatively, arbitrators may intentionally maintain randomness to
avoid being excluded from the pool of potential arbitrators for future
disputes (Ashenfelter 1987). (14)
The disputants provide final offers representing the share of
disputant 1. Let x and y be the offers of disputants 1 and 2,
respectively. If the offers are compatible (that is, y [greater than or
equal to] x), then the final result is the average of the offers. That
is, disputant 1 receives (x + y)/2 - c, and disputant 2 receives the
remaining [PI] - (x + y)/2 - c. If the offers are not compatible, then
the arbitrator must choose one of the offers as the final result.
Specifically, if |x - z| < |y - z|, then disputant 1 receives x - c,
and disputant 2 receives [PI] - x - c. If |x - z| > |y - z|, then
disputant 1 receives y - c, and disputant 2 receives [PI] - y - c. If
both disputants are equally distant from the arbitrator's z, then
the arbitrator randomly picks one of the offers as the final result,
each with probability 0.5.
According to Brams and Merrill (1983), offers x* = [PI], y* = 0
constitute the unique Nash equilibrium in this zero-sum game. The
expected payoffs of the two players are both [PI]/2 - c. The contract
zone is defined as the set of settlements preferred by both disputants
to reaching arbitration. If the arbitration cost c is positive, then two
disputants are expected to reach a pre-arbitration agreement. The range
of possible agreements is [[PI]/2 - c, [PI]/2 + c] and is referred to as
the contract zone. (15)
4. Experimental Design and Procedures
We conducted a series of four experimental sessions for each of the
three treatments determined by the location of the subjects. In the UU
treatment, both parties were students at a state university in the
United States. Disputants in the JJ treatment were both students at a
Japanese university. Lastly, the UJ treatment matched students at the
two universities. Each subject participated in only one session. (16)
A session began with the subjects reading written directions and
completing a comprehension quiz. (17) For the UU and JJ treatments, the
subjects knew that their randomly selected counterparts were in the same
room. However, for the UJ treatment, the subjects were told that their
counterparts were being randomly selected from a group of people on the
other side of the world. To help ensure the existence of the
counterparts, web cameras were used to broadcast live images of each
lab. The subjects at each location could see the people at the other
lab. Further, one subject in the United States was randomly selected to
draw a pattern on a sheet of paper and show it to the camera. Then a
randomly selected subject in Japan copied that pattern on a sheet of
paper and showed it to the camera. The procedure was then reversed,
allowing the Japanese subject to draw some new symbol, which was redrawn
by the American subject. This process is similar to the one developed by
Eckel and Wilson (2006).
After all questions had been answered, the computerized experiment
began. The experiment consisted of two phases. In the first 15 periods,
subjects were randomly and anonymously assigned a counterpart. (18) The
two parties both made final offers for the computerized arbitrator to
consider. As was common information for the subjects, the
arbitrator's preferred outcome was randomly selected from the
interval [0,100]. (19) For these first 15 periods, c = 0, as the
subjects had no choice but to be in arbitration. A one-page sheet of
direction was distributed after the end of the first phase, and this was
the first time the subjects learned of a second phase. The second phase
of the experiment allowed the randomly selected counterparts to bargain
for one minute prior to going to arbitration. During the minute, either
party could make a proposal or accept the counterpart's standing
proposal. Any pair that reached a self-negotiated agreement did not go
to arbitration, and the two parties were not charged the cost of c = 15.
(20) The second phase consisted of 10 periods. (21)
Following Roth et al. (1991), we were careful to minimize the
effects of uncontrolled procedural differences across locations. The
same experimenters conducted all of the sessions. (22) Unfortunately,
this dictated that the treatments were not all conducted at the same
time and hence the exchange rate varied somewhat. The payoffs in the
experiment were denominated in Experiment Dollars. A subject's
payoff was converted into cash at the rate of Experiment Dollars 100 =
$1 = [yen]100. At the time of the JJ sessions the exchange rate was
approximately $1 [approximately equal to] [yen]106 and for the UJ
sessions it was $1 [approximately equal to] [yen]116. Hence the real
payoffs are similar but not identical. Of course, studies done in
different cities in the same country or over an extended period of time
have different real incentives given variation in the cost of living.
For each laboratory session, subjects were recruited to the lab for one
hour and received a participation payment of $5 or [yen]500.
To keep the designs parallel across treatments, the number of
subjects differed across treatments. In the JJ and UU treatments, where
everyone was in the same room, four subjects participated in each
session. Hence, for any subject there were three other people who could
be randomly selected as a counterpart in a given period. In the UJ
treatment there were six subjects, three at each laboratory, so that
again there were three possible counterparts each period. Given the
repeated nature of the experiment, it is important that the likelihood
of interacting with a person again or one's ability to discipline
the group be held constant across treatments.
The instructions for the experiment and the computer interface were
initially written in English for the U.S. subjects. The directions were
subsequently translated into Japanese by Zeng and one of his Japanese
students for the Japanese subjects. Unfortunately, translating the
subject's computer interface was not practical, as Japanese
characters require more bytes than English characters. To make the
software informative to the Japanese subjects, symbols replaced text on
the screen. For example, the symbol "[??]" replaced the word
"counterpart." The English directions and software for the UJ
treatment also used the pictorial representation.
5. Results
In total, 56 unique subjects participated in the experiment. The
data consist of 420 pairs of disputants in arbitration during the first
phase of the experiment and 266 pairs of disputants who had the
opportunity to settle pre-arbitration in the second phase. (23) As pairs
were randomly selected each period from the subjects in a given session,
the observations are not independent within sessions but are independent
across sessions. Therefore we rely upon nonparametric tests of
session-level data and use econometric models that handle repeated
measures for decision-level data. To control for possible learning
effects we omit data from the five initial periods of the experiment.
We begin our analysis by focusing on the offers that are made in
arbitration during the first phase of the experiment. Figure 1 shows the
distribution of offers by location of the counterpart. The left-hand
panel is for subjects in the United States, and the fight-hand panel is
for subjects in Japan.
Evident from this figure is that U.S. subjects want a greater share
of the surplus when paired with a subject in Japan than when paired with
another subject in the United States. However, Japanese subjects appear
to be nearly equally demanding against counterparts from either country.
This pattern is borne out statistically. We estimate a linear mixed
effects model for the average offer. This model estimates a fixed effect
for the treatments while allowing for each subject and each session to
have a random effect. (24) Specifically, we estimate
[FIGURE 1 OMITTED]
[Offer.sub.ijt] = [[beta].sub.0] + [e.sub.i] + [zeta].sub.ij] +
[[beta].sub.1][JapSub.sub.i] + [[beta].sub.2][JapCount.sub.i] +
[[beta].sub.3][JapSub.sub.i] x [JapCount.sub.i] + [[epsilon].sub.ijt],
where [e.sub.i] ~ N(0, [[sigma].sup.2.sub.1]), [zeta].sub.ij] ~
N(0, [[sigma].sup.2.sub.2]), [[epsilon].sub.ijt] =
[rho][[epsilon].sub.ij(t-1)] + [u.sub.ijt], and [u.sub.ijt] ~ N(O,
[[sigma].sup.2.sub.3]). [Offer.sub.ijt], is the offer made by subject j
in session i during period t. [JapSub.sub.ij] and [JapCount.sub.ij] are
dummy variables that take on the value 1 if subject j in session i was
Japanese and had a Japanese counterpart, respectively. Table 1 gives the
results of the estimation for the treatment effects.
While the theoretical prediction for risk-neutral agents with
common beliefs of arbitrator behavior is an offer of 100, consistent
with many previous studies of FOA, what we observe is substantially more
moderate. On average, U.S. subjects with counterparts in the United
States make final offers of 56.4. U.S. subjects make offers of 56.4 +
10.5 >> 66.9 when facing Japanese counterparts, a statically
significant difference (p-value = 0.0186). Japanese subjects make
nominally higher offers when facing U.S. counterparts (56.4 + 4.1
>> 60.5) than U.S. subjects do when facing U.S. counterparts
(56.4), but the difference is not significant (p-value = 0.3424).
Further, Japanese subjects ask for slightly less money from Japanese
counterparts (56.4 + 4.1 + 10.5 - 12.6 >> 58.4) than from U.S.
counterparts (60.5). This difference is not significant based upon a
likelihood ratio test of [[beta].sub.2] + [[beta].sub.3] = 0 at any
standard significance level. Ultimately, there is no statistical
difference between offers in the UU and JJ treatments (56.4 vs. 58.4),
based upon a likelihood ratio test that [[beta].sub.1] + [[beta].sub.2]
+ [[beta].sub.3] = 0.
The results, reported in Table 1, allow us to formally look at the
cultural hypotheses laid out by Lituchy (1997). Specifically, she
asserts that Japanese subjects, coming from a collectivist society, will
seek less money when facing a Japanese counterpart than when facing an
American. But Americans, being individualistic, will not alter their
behavior based upon the culture of their counterpart. We do not find
statistical support for either of the two cultural hypotheses. (25) The
first hypothesis is in the form of a one-sided alternative that
[[beta].sub.2] + [[beta].sub.3] < 0, for which we fail to reject the
null. The second hypothesis is in the form of a null that [[beta].sub.2]
= 0, which we reject in favor of the two-sided alternative.
We now focus on the settlement rate, a typical measure of an
arbitration mechanism's success. Figure 2 plots the self negotiated
pre-arbitration settlement rates by session. (26) From this figure it
appears that FOA is more effective in resolving international disputes
than disputes in which both parties are in Japan (Wilcoxon Rank Sum test
statistic W = 25, p-value = 0.058). However, there is considerable
variation in the United States, so that while the average agreement rate
of 70% is nominally between the Japanese rate of 64% and the
international rate of 82%, it is not statistically different from either
(W = 19.5, 0.886 < p-value < 0.686 and W = 20, p-value = 0.686,
respectively). It is worth noting that while these agreement rates are
higher than those typically reported in the laboratory, they are more in
line with empirical estimates. For example, Farmer, Pecorino, and Stango
(2004) report that 85% of baseball salary disputes are settled prior to
arbitration.
A random effects probit model also leads to the same
conclusion--that Japanese subjects are more likely to settle with U.S.
counterparts than with Japanese counterparts. Table 2 provides the
estimation results for a random effects probit model where the
estimating equation for the probability a pair p in session j will reach
arbitration is given by
[MATHEMATICAL EXPRESSION NOT REPRODUCIBLE IN ASCII]
where [PHI] denotes the cumulative distribution function of the
standard normal distribution. JJ and UJ are dummy variables for the
treatments. The baseline case is the UU treatment. That agreements are
less likely in JJ than in UJ is evidenced by the fact that we reject the
null hypothesis that [[beta].sub.1] = [[beta].sub.2] (likelihood ratio
test statistic = 6.151, p-value = 0.0131).
Theory predicts not only that parties should settle, but that they
should settle in the contract zone, which is the interval [35, 65] given
the parameters. Overall, the vast majority of disputants settled inside
the contract zone conditioned on having reached an agreement; 88% in UU,
93% in J J, and 97% in UJ. The attraction of the contract zone is
evident from Figure 3, which plots the frequency of a given split by
treatment. Since any agreement allocates the entire 100 experimental
dollars, the pairs are identified by the size of the lion's share.
The column NA denotes pairs that did not reach an agreement.
Clearly the agreements are overwhelmingly for near-equal shares of
the surplus, a result that is not too surprising given previous
experimental studies of bargaining; see Kagel and Roth (1995). But one
may wonder why there is greater agreement typically with an equal split
in UJ even though the subjects ask for more money during arbitration in
this treatment.
[FIGURE 2 OMITTED]
In fact, both the Japanese subjects and the U.S. subjects take
softer bargaining stances in the pre-arbitration phase of the
international disputes. Looking at the final proposals made
pre-arbitration for pairs that did not reach agreement, Japanese
subjects were demanding 65.6 on average from their countrymen, as
compared to 61.6 from Americans. Similarly, U.S. subjects demanded more
of their own countrymen, asking for 63.8 on average, compared to the
58.2 requested from Japanese subjects. This pattern is consistent with
the early theory regarding FOA. The more money people request once they
reach arbitration, which is the case here with the international
disputes, the riskier arbitration is and the greater is the incentive to
settle ex ante. As demonstrated above, the U.S. subjects want more money
in international arbitration, and in fact 62% of the agreements in UJ
arise from a Japanese subject accepting a proposal made by their U.S.
counterpart prior to reaching arbitration. For pairs that reached
agreement, the Americans received 50.2 on average in the UJ treatment.
Given the constant sum nature of the problem, this average was
necessarily 50 for agreements in JJ and UU.
Thus, not only do we find evidence that U.S. agents alter their
behavior when paired with a Japanese subject, we also find that as
arbitration becomes riskier settlement increases. The increased demands
of U.S. subjects have the socially positive effect of increasing
settlement rates, but the distribution of the surplus is shifted in
their favor as well.
[FIGURE 3 OMITTED]
6. Conclusions
This paper examines behavioral differences in arbitration. If we
simply compare behavior within the United States to behavior within
Japan, we do not observe significant differences. That is, disputants
from both countries place similar offers in arbitration and face the
same probability of reaching arbitration in disputes between countrymen.
The examination of behavior across nationalities is where most previous
studies have stopped; however, it is incomplete. When we directly
evaluate international pairs, we see that the behavior of U.S. subjects
changes as they become more aggressive, seeking a larger share of the
surplus. Meanwhile, Japanese subjects become more likely to settle ex
ante in international disputes, behavior that is consistent with facing
counterparts that are demanding more money. In both cases we find the
same nominal pattern for the other country as well, but the effect is
not significant. It is important to note that while the specifics of the
behavioral changes are an important part of our analysis, the primary
contribution of this paper is the finding that behavior changes when
agents interact interculturally when compared with their behaviors
intraculturally. This finding questions the usefulness of an expanding
literature documenting behavioral differences across cultures in helping
us to understand intercultural bargaining.
Such intercultural effects are important in an ever more global
economy. Some preliminary research using auction and public goods
experiments suggests that the shift is not simply a function of varied
attitudes of risk, cooperation, or optimism, but further work is needed
to fully control for these possibilities. (27) It is possible that the
behavioral changes are due to the two groups failing to anticipate the
similar predispositions along these lines. An alternative explanation is
the degree of separation in the experiments. Previous research has shown
that social distance can greatly impact behavior. Specifically, studies
have shown that behavior differs when agents play within their group
rather than against an external party (for example, Tajfel 1979; Frey
and Bohnet 1997). Glaeser et al. (2000) find that people are less
trustworthy when facing someone from a different racial or national
heritage. International disputes inherently involve parties from
different groups to a greater degree than do disputes involving parties
from the same country. When measuring social distance in another way,
Cox and Deck (2005) find that U.S. subjects behave in a more monetarily
self-interested way as social distance increases. This could explain in
part why we observe U.S. subjects in international disputes requesting
more money than they do in domestic ones. (28) In terms of
pre-arbitration negotiations, there may be several possible explanations
for the increased willingness of subjects to reach a settlement when in
an international dispute. First, if the agents are risk-averse, then
settlement is more attractive when arbitration becomes riskier, an
outcome that arises from the increased demands of the U.S.
subjects' behavior in arbitration. Alternatively, one could argue
that subjects in the intercultural experiments were more aware that they
were representing their culture and thus wanted to present a good image.
While this may be the case, much like the increased social distance,
such a cultural representation is an inherent part of naturally
occurring international disputes as well. Although in this research we
cannot separate the effects of geographic or cultural distance, this
paper takes a critical first step in identifying the changes in behavior
that result when individuals bargain intra- versus internationally.
Our findings suggest that future research is warranted to determine
the precise factors behind the behavioral changes in these international
negotiations and to determine if they exist in other contexts. (29) One
thing is clear, however: it is not at all sufficient to simply document
the differences in subjects' behaviors across cultures; it is
critical to identify and understand the motivations behind the fact that
subjects alter their behaviors when facing a member of another country
or culture.
Received February 2008; accepted September 2008.
References
Asahi News. 1991. Dream Baseball Market, Ochiai Receives a Salary
of 220 Million Yen (in Japanese). Asahi News 9 March, p. 3.
Asahi News. 2005. Taiwan is Entitled but Korea is Rejected (in
Japanese). Asahi News 26 October, p. 1.
Ashenfelter, Orley. 1987. Arbitrator behavior. American Economic
Review 77:342-46.
Ashenfelter, Orley, and David Bloom. 1984. Models of arbitrator
behavior: Theory and evidence. American Economic Review 74:111-24.
Ashenfelter, Orley, Janet Currie, Henry Farber, and Matthew
Spiegel. 1992. An experimental comparison of dispute rates in
alternative arbitration systems. Econometrica 60:1407-33.
Avrock, Kevin. 1998. Culture and conflict resolution. Washington,
D.C.: U.S. Institute of Peace Press.
Beard, T. Randolph, Richard Beil, and Yoshiharu Mataga. 2001.
Reliant behavior in the United States and Japan. Economic Inquiry
39:270-9.
Bebchuk, Lucian. 1984. Litigation and settlement under imperfect
information. RAND Journal of Economics 15:404-15.
Bernstein, Lisa. 1993. Understanding the limits of court-connected
ADR: A critique of federal court-annexed arbitration programs.
University of Pennsylvania Law Review 141:2169-259.
Bercovitch, Jacob, and Ole Elgstrom. 2001. Culture and
international mediation: Exploring theoretical and empirical linkages.
International Negotiation 6:3-23.
Bloom, David, and Christopher Cavanagh. 1986. An analysis of the
selection of arbitrators. American Economic Review 76:408-22.
Brams, Steven, and Samuel Merrill. 1983. Equilibrium strategies for
final-offer arbitration: There is no median convergence. Management
Science 29:927-41.
Brams, Steven, and Samuel Merrill. 1986. Binding versus final-offer
arbitration: A combination is best. Management Science 32:1346-55.
Brandts, Jordi, Tatsuyoshi Saijo, and Arthur Schram. 2004. How
universal is behavior? A four country comparison of spite and
cooperation in voluntary contribution mechanisms. Public Choice
119:381-424.
Brett, Jeanne, and Tetsushi Okumura. 1998. Inter- and intracultural
negotiation: U.S. and Japanese negotiators. Academy of Management
Journal 41:495-510.
Buchan, Nancy, and Rachel Croson. 2004. The boundaries of trust:
Own and others' actions in the U.S. and China. Journal of Economic
Behavior and Organization 55:484-504.
Buchan, Nancy, Rachel Croson, and Eric Johnson. 2004. When do fair
beliefs influence bargaining behavior? Experimental bargaining in Japan
and the United States. Journal of Consumer Research 31:181-90.
Buchan, Nancy, Eric Johnson, and Rachel Croson. 2006. Let's
get personal: An international examination of the influence of
communication, culture and social distance on other regarding
preferences. Journal of Economic Behavior and Organization 60:373-98.
Cox, James, and Cary Deck. 2005. On the nature of reciprocal
motives. Economic Inquiry 43:623-35.
Cox, James, Bruce Roberson, and Vernon Smith. 1982. Theory and
behavior of single price auctions. In Research in experimental
economics, edited by V. L. Smith, Volume 2. Greenwich, CT: JAI Press,
pp. 1-43.
Deck, Cary, and Amy Farmer. 2007a. Bargaining over an uncertain
value: Arbitration mechanisms compared. Journal of Law. Economics and
Organization 23:547-79.
Deck, Cary, and Amy Farmer. 2007b. Bargaining with asymmetric
uncertainty: Arbitration mechanisms compared. Research in Labor
Economics 26:415-45.
Deck, Cary, Amy Farmer, and Dao-Zhi Zeng. 2007. Amended final-offer
arbitration outperforms final-offer arbitration. American Law and
Economics Review 9:384-407.
Dickinson, David. 2004. A comparison of conventional, final-offer,
and 'combined' arbitration for dispute resolution. Industrial
and Labor Relations Review 57:288 301.
Dickinson, David. 2005. Bargaining outcomes with double-offer
arbitration. Experimental Economics 8:145-66.
Eckel, Catherine, and Rick Wilson. 2006. Internet cautions:
Experimental games with Internet partners. Experimental Economics
9:53-66.
Elgstrom, Ole. 1999. The role of culture: A discussion and a case
study. In Eclectics of Negotiation, edited by T. Hill. Cambridge, MA:
The Program of Negotiation Press, pp. 31-49.
Farber, Henry. 1980. An analysis of final-offer arbitration.
Journal of Conflict Resolution 24:683-705.
Farmer, Amy, Paul Pecorino, and Victor Stango. 2004. The causes of
bargaining failure: Evidence from Major League Baseball. Journal of Law
and Economics 47:543-68.
Frey, Bruno, and Iris Bohnet. 1997. Identification in Democratic
society. Journal of Socio-Economics 26:25-38.
Fu, Ho-Ying, Michael Morris, Sau-Lai Lee, and Chi-Yue Chiu. 2002.
Why do individuals follow cultural scripts? A dynamic constructivist
account of American-Chinese differences in choice of mediators to
resolve conflicts. Academy of Management Proceedings CM:DI D6.
Fuller, James. 1993. U.S. Tax Review. Tax notes international
7:1041-2.
Gans, Walter. 1997. Saving time and money in cross-border
commercial disputes. Dispute Resolution Journal 52:50-7.
Gibbons. Robert. 1988. Learning in equilibrium models of
arbitration. American Economic Review 78:896-912.
Glaeser, Edward, David Laibson, Jose Scheinkman, and Christine
Soutter. 2000. Measuring trust. Quarterly Journal of Economics
115:811-46.
Graham, John, and Yoshihiro Sano. 1989. Smart bargaining: Doing
business with the Japanese. Cambridge, MA: Ballinger.
Henrich, Joseph. 2000. Does culture matter in economic behavior?
Ultimatum game bargaining among the Machiguenga of the Peruvian Amazon.
American Economic Review 90:973-9.
Hofstede, Geert. 1980. Culture's consequences."
International differences in work-related values. Newbury Park, CA:
Sage.
Hofstede, Geert. 1991. Cultures and organizations: Software of the
mind." Intercultural cooperation and its importance for survival.
New York: McGraw-Hill.
Isaac, R. Mark, and James Walker. 1988. Group size effects in
public goods provision: The voluntary contributions mechanism. Quarterly
Journal of Economics 103:179-99.
Kagel, John, and Alvin Roth. 1995. The handbook of experimental
economics. Princeton, NJ: Princeton University Press.
Kilbourne, William, Marko Grunhagen, and Janice Foley. 2005. A
cross-cultural examination of the relationship between materialism and
individual values. Journal of Economic Psychology 26:624-41.
Leung, Kwok. 1997. Negotiation and reward associations across
cultures. In New Perspectives on International Industrial/Organizational
Psychology, edited by P. C. Earley and M. Erez. San Francisco:
Jossey-Bass, pp. 640-75.
Lew, Julian, and Laurence Shore. 1999. International commercial
arbitration: Harmonizing cultural differences. Dispute Resolution
Journal 54:32-8.
Lituchy, Terry. 1997. Negotiations between Japanese and Americans:
The effects of collectivism on integrative outcomes. Canadian Journal of
Administrative Sciences 14:386-95.
Oosterbeek, Hessel, Randolph Sloof, and Gijs van de Kuilen. 2004.
Cultural differences in ultimatum game experiments: Evidence from a
meta-analysis. Experimental Economics 7:171-88.
Oyserman, Daphna, Heather Coon, and Markus Kemmelmeier. 2002.
Rethinking individualism and collectivism: Evaluation of theoretical
assumptions and meta-analyses. Psychological Bulletin 128:3-72.
Pecorino, Paul, and Mark Van Boening. 2001. Bargaining and
information: An empirical analysis of a multistage arbitration game.
Journal of Labor Economics 19:922-48.
Pecorino, Paul, and Mark Van Boening. 2004. An empirical analysis
of bargaining with voluntary transmission of private information. The
Journal of Legal Studies 33:131-56.
Priest, George, and Benjamin Klein. 1984. The selection of disputes
for litigation. The Journal of Legal Studies 13:1-55.
Reinganum, Jennifer, and Louise Wilde. 1986. Settlement, litigation
and the allocation of litigation costs. RAND Journal of Economics
17:557-66.
Roth, Alvin, Vesna Prasnikar, Masahiro Okuno-Fujiwara, and Shmuel
Zamir. 1991. Bargaining and market behavior in Jerusalem, Ljubljana,
Pittsburgh, and Tokyo: An experimental study. American Economic Review
81:1068-95.
Schwartz, Shalom. 1994. Beyond individualism/collectivism: New
cultural dimensions of values. In Individualism and Collectivism:
Theory, Method, and Application, edited by U. Kim, H. C. Triandis, C.
Kagitcibasi, S.-C. Chol, and G. Yoon. London: Sage, pp. 85-117.
Shavell, Steven. 1982. Suit, settlement and trial: A theoretical
analysis under alternative methods for the allocation of legal costs.
The Journal of Legal Studies 11:55-81.
Slate, William K. II. 2004. The culture connection in international
commercial arbitration. Dispute Resolution Journal. August 1, 2004:
Editorial Address.
Slemrod, Joel, and Peter Katuscak. 2005. Do trust and
trustworthiness pay off? Journal of Human Resources 40:621-46.
Smith, Vernon, and James Walker. 1993. Rewards, experience and
decision costs in first price auctions. Economic Inquiry 31:237-44.
Stevens, Carl. 1966. Is compulsory arbitration compatible with
bargaining? Industrial Relations 5:38-52.
Tajfel, Henry. 1979. Individuals and groups in social psychology.
British Journal of Social and Clinical Psychology 18:183-90.
Zeng, Dao-Zhi. 2003. An amendment to final-offer arbitration.
Mathematical Social Sciences 46:9-19.
Zeng, Dao-Zhi, Shinya Nakamura, and Toshihide Ibaraki. 1996.
Double-offer arbitration. Mathematical Social Sciences 31:147-70.
(1) Arbitration is typically less expensive and does not require
the same level of disclosure as traditional litigation (Bernstein 1993;
Fuller 1993).
(2) The goal of the current paper is to identify if and how
behavior varies between domestic and international disputes. Thus the
distinction between nationality, culture, etc. is not critical to our
purposes.
(3) Of course this does not mean that everyone from a particular
nation is identical along these dimensions, but rather suggests that, on
average, people from these two countries differ in this way.
(4) There is some contradictory evidence regarding the
collectivist/individualistic differences between the two peoples.
Oyserman, Coon, and Kemmelmeier (2002) conducted a meta-analysis and
found that Japanese people in aggregate are no more or less collectivist
than Americans.
(5) Data are available from Canada as well, but of course the
United States and Canada are close geographically and culturally.
(6) To the authors' knowledge, the only baseball player's
salary in Japan determined by FOA was Hiromitsu Ochiai of Team
Chunichi-Dragon in 1991 by FOA (see Asahi News of March 9, 1991).
(7) This result assumes symmetric information on the part of the
players. Deck and Farmer (2007b) show that a contract zone may not exist
when there is asymmetric information about surplus to be divided.
(8) Other experimental studies comparing FOA and conventional
arbitration include Pecorino and Van Boening (2001, 2004) and Deck and
Farmer (2007a, b).
(9) See Avrock (1998) for a thorough discussion of culture and
conflict.
(10) We are not aware of any studies identifying the percentage of
parties engaging in international negotiations that receive specific
intercultural training or any studies identifying performance changes
due to such training. However, with continued economic globalization and
an increased reliance on arbitration, we anticipate that more and more
novice individuals will be dealing with such situations.
(11) This is based upon comments in the editorial address of
Dispute Resolution Journal, February 2004.
(12) The effect of rewards in an experimental study is known to be
important, according to Smith and Walker (1993).
(13) A uniform distribution is easier to describe to subjects than
other distributions.
(14) While most papers in the literature assume that the
arbitrator's sense of fairness is independent of the offers,
Ashenfelter and Bloom (1984), Ashenfelter (1987), and Gibbons (1988)
consider situations in which the arbitrator learns from disputant
behavior.
(15) Risk aversion (risk seeking) preferences would increase
(decrease) the width of the contract zone. Disputant optimism, that is,
the parties holding different beliefs as to the distribution of z, would
also impact the size and location of the contract zone.
(16) While some of the subjects had participated in unrelated
experiments, none had participated in previous experiments involving
bargaining or arbitration.
(17) Copies of the directions and the handouts are available from
the authors upon request.
(18) Throughout the experiment and the directions neutral terms
were used; "counterpart" for opponent, "random
number" for arbitrator's preferred outcome, etc.
(19) In reality, it is unclear which distribution best mimics any
particular real situation, and as a result, any choice we make suffers
from that reality. However, the uniform distribution is most easily
described to subjects, thereby avoiding the difficulty that subjects
don't fully understand the arbitrator's decision process.
Further, the theoretical solutions are easy to derive using the uniform
distribution.
(20) To the extent that the two-stage decision generates a bias,
this bias generates bargainers who are more experienced with the
arbitration process by the time they are placed in pre-arbitration
bargaining. This then produces subjects more similar to those who would
truly engage in real arbitration bargaining.
(21) Two of the JJ sessions had fewer second phase periods (six and
seven periods, respectively) due to time constraints.
(22) Due to logistical constraints, the sessions were conducted
over the course of a year. All of the American sessions were conducted
first, followed by the Japanese sessions and then the international
sessions. An additional function of the web cameras is to let all the
participants in the international sessions see that the experiments are
organized by an international team.
(23) Due to time constraints, some sessions did not complete 10
periods in the bargaining (second) phase of the experiment.
(24) The use of a fixed effect for each subject controls for
individual specific variation. This includes a person's degree of
collectivism relative to their countrymen, which Buchan, Johnson, and
Croson (2006) find to be significant when controlled for based upon
survey responses.
(25) Lituchy (1997) claims to find support for these hypotheses,
but as described in section 2, there are some concerning aspects to her
experimental design. It also bears repeating that Oyserman, Coon, and
Kemmelmeier (2002) call into question the difference between the United
States and Japan along this dimension.
(26) The figure and associated statistics are essentially unchanged
if attention is restricted to the first six bargaining periods, the
minimum number of periods in any session.
(27) In particular, we conducted a series of public goods
experiments similar to the small groups treatments of Isaac and Walker
(1988) and auction experiments similar to treatments dfd9 and dfd9'
of Cox, Roberson, and Smith (1982). Nominally, the results are similar
to previously published work.
(28) Buchan and Croson (2004) find that American subjects, as well
as subjects from China, a country considered to be collectivist, are
influenced by a natural manipulation of social distance in a
hypothetical investment game.
(29) Two methodology improvements over the current study that
should be incorporated in similar future work include the back
translation of directions and adjustments for subject costs of living.
The former refers to translating directions back into the original
language and ensuring the two versions convey the same meaning. The
latter addresses the point that exchange rates do not necessarily
reflect purchasing power parity.
Cary Deck, University of Arkansas, Walton College of Business,
Department of Economics, 402 WCOB, Fayetteville, AR 72701, USA; E-mail
edeck@walton.uark.edu.
Amy Farmer, University of Arkansas, Walton College of Business,
Department of Economics, 402 WCOB, Fayetteville, AR 72701, USA; E-mail
afarmer@walton.uark.edu; corresponding author.
Dao-Zhi Zeng, Tohoku University, Graduate School of Information
Sciences, Aoba 6-3-09, Aramaki, Aoba-ku, Sendai 980-8579, Japan; E-mail
zeng@se.is.tohoku.ac.jp.
The authors would like to thank two anonymous referees and the
editor for their valuable comments, which served to improve this paper.
Deck and Farmer gratefully acknowledge support from the National Science
Foundation (SES 0350709). Zeng acknowledges financial support from the
Japanese Ministry of Education, Culture, Sports, Science, and Technology
(Grant-in-Aid for Science Research 18530179 and 19203013).
Table 1. Mixed Effect Estimation for Final Offers
Variable Parameter Value t-value df p-value
Constant [[beta].sub.0] 56.3895 19.9404 504 <.0001
JapSub [[beta].sub.1] 4.1366 0.9604 42 0.3424
JapCount [[beta].sub.2] 10.5445 2.4480 42 0.0186
JapSub'JapCount [[beta].sub.3] -12.5770 -2.0472 10 0.0678
Table 2. Random Effects Probit Model for the Probability
of Reaching Arbitration
Variable Parameter Estimates
Constant [[beta].sub.0] -0.9076 (0.4082)
UJ [[beta].sub.1] -0.5864 (0.4813)
JJ [[beta].sub.2] 0.2819 (0.4790)
Listed are the Generalized Estimating Equation parameter
estimates. The standard errors in parentheses are the
empirical estimates.