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An Experiment on Trust in Triads

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Title: An Experiment on Trust in Triads


1
An Experiment on Trust in Triads
  • Werner Raub
  • Workshop on Social Theory, Trust, Social
    Networks, and Social Capital IINational
    Chengchi University NCCUApril 2011

2
Trust by Example I
  • July 18, 2007 end date to purchase a copy of the
    first edition of Theory of Games and Economic
    Behavior by John von Neumann and Oskar
    Morgenstern at eBay from the seller
    bibliomonster for US- 1,900.00. The item had a
    fixed price listing (eBays Buy It Now option)
    and could only be purchased without bidding in an
    auction. Item description Bound in original
    publishers red cloth a bit rubbed at head of
    spine. Black (ink?) mark on top board. Minor
    shelf wear, else very good. Internally, clean and
    free of ink, marginalia and soiling. No dogeared
    pages or tears. Includes the often missing
    corrigenda leaf. A nice, collectable copy.

3
Trust by Example II
  • A potential buyer at eBay has to decide whether
    to buy the rare first edition of a book offered
    by a seller and to send the money
  • The seller, after receiving the money, has to
    decide whether or not to ship the book to the
    buyer
  • If the seller ships and the book corresponds with
    the specifications, both buyer and seller are
    happier after the deal than before the deal
  • If the seller does not ship the book, he can try
    to sell it again, while the buyer has lost her
    money

4
The Trust Game
5
Outline
  1. Theory and hypotheses on embedded trust
  2. Design of the experiment
  3. Results
  4. Related findings from other empirical studies
    using complementary research designs
  5. Conclusions ongoing and future research

6
  • Theory and Hypotheses on
  • Embedded Trust

7
Embedded Trust
  • Trust problems (and other social and economic
    interactions) are often embedded in the sense
    of
  • repeated transactions between the same actors
  • actors encounter and exchange information with
    partners of their partner
  • ? need to extend predictions for trust situations
    to embedded settings (trust in networks)

8
Embeddedness Mechanisms
Dyadic embeddedness Network embeddedness
Learning Common history of past interactions information about the partner from own experiences Information from third parties about their past experiences with the partner
Control Expected future interactions opportunities for conditional cooperation via, e.g., tit for tat Opportunities for conditional cooperation involving third parties voice (reputation effects)

9
Approach
  • We distinguish between different embeddedness
    effects
  • theoretically
  • empirically
  • We consider games on networks and neglect
    strategic network formation embeddedness is
    exogenous in the experiment (but see concluding
    discussion)
  • We focus on trust as a result of enlightened
    self-interest and neglect (more or less)
    non-selfish utility

10
Theories for Deriving Hypotheses on Embeddedness
Effects
Dyadic embeddedness Network embeddedness
Learning Adaptive learning models information diffusion models Adaptive learning models information diffusion models
Learning and control Models for repeated games with incomplete information Models for repeated games with incomplete information
Control Models for repeated games with complete information Models for repeated games with complete information
11
Trust in Finitely Repeated Games with Incomplete
Information Intuition I
  • Consider a finitely repeated Trust Game with a
    trustee who, with some positive (and possibly
    very small) probability, has no incentive to
    abuse trust in a one-shot Trust Game (e.g.,
    inequity aversion)
  • The trustee may then honor trust for one of two
    very different reasons
  • No incentive to abuse trust in a one-shot Trust
    Game
  • Reputation building if trust is abused, trustor
    can infer trustees type for sure (learning) and
    may never place trust again (control)
  • Trustor may therefore be inclined to place trust

12
Trust in Finitely Repeated Games with Incomplete
Information Intuition II
  • Thus
  • Trustor tries to learn about and controls the
    trustee, taking the trustees incentives for
    reputation building into account
  • Trustee balances long-term effects of his
    reputation and short-term incentives for abusing
    trust, taking into account that the trustor
    anticipates this balancing
  • Some properties of the equilibrium
  • Trust is placed and honored in early rounds of
    the game
  • Actors randomize afterwards
  • Placed trust is abused in final rounds of the
    game
  • Once abused, trust is never placed again

13
Hypotheses Summary
Dyadic embeddedness Network embeddedness
Learning Trust increases (decreases) with positive (negative) own experiences with the trustee Trust increases (decreases) with positive (negative) information on the trustee received from other trustors
Control Trust and trustworthiness increase with the likelihood of future interactions Trust and trustworthiness increase with the trustors control opportunities through her network with other trustors
14
  • Design of the Experiment

15
Lab Experiment
  • Subjects play repeated Trust Games in the lab
  • Anonymous interactions with actual other subjects
    in the lab
  • Complete game structure provided in the
    instructions no deception
  • Points earned represent actual money for the
    subjects

16
Trust Game in the Lab Experiment


Number of points


A B


right

10

10

A




down


right


0
40

B




down


20

20


17
Interaction Structure
  • Two trustors play with the same trustee for 15
    rounds (triads)
  • In each round, trustor 1 plays first, trustor 2
    second
  • Depending on experimental condition information
    exchange about past behavior between trustors

18
Two Experimental Conditions
  • No information exchange between trustors
  • each trustor only knows what happens in her own
    Trust Games with the trustee
  • ? opportunity for dyadic learning and control
  • ? no opportunity for network learning and
    control
  • Full information exchange between trustors
  • after each Trust Game, also the trustor not
    involved in that game receives information on the
    choices made in that game
  • ? opportunity for dyadic learning and control
  • ? opportunity for network learning and control

19
Further Set-Up
  • Both conditions subjects know what kind of
    information everybody receives
  • Each subject plays three repeated trust games in
    the same information condition once as trustor
    1, once as trustor 2, once as trustee
  • Subjects are rematched between the repeated
    games never rematched to other subjects they had
    already played with subjects are informed on the
    rematching process
  • Experiment conducted in ELSE lab of UU, using
    z-Tree software
  • 72 subjects, i.e., data on 72 triads and 72x15x2
    2160 Trust Games (1080 with and 1080 without
    information exchange between trustors)

20
Lab Experiment andEmbeddedness Effects
  • Lab experiment allows to test hypotheses on
    effects of dyadic embeddedness and network
    embeddedness on trust and trustworthiness

21
  • Results

22
Three-Level Logistic Regression
  • Estimate probability to trust / honor trust
    conditional on past experiences, rounds to go,
    information condition
  • Three-level random effects model
  • Levels decision trustor triad
  • 2160 decisions by 144 trustors in 72 triads
  • 1542 decisions by 72 trustees in 72 triads
  • Clustering within trustors in different series of
    games neglected
  • Trustor level variance is small
  • Results are rather robust for the specification
    of random structure

23
Results Effects of Embeddedness on Trust of the
Trustor
144 trustors
24
Results Effects of Dyadic Embeddedness on Trust
of the Trustor
  • Support for hypotheses on dyadic learning and on
    dyadic control effects on trustor behavior
  • Trustors are more (less) likely to trust
  • after having experienced more honored (abused)
    trust in own interactions with trustee (dyadic
    learning)
  • the larger (smaller) the number of rounds still
    to be played (also strong endgame effect)
    (dyadic control)

25
Results Effects of Network Embeddedness on Trust
of the Trustor
  • Evidence for network learning effects on trustor
    behavior trustors are more (less) likely to
    trust after having observed more honored (abused)
    trust in the other trustors interactions with
    the trustee
  • No evidence for network control effects on
    trustor behavior no main effect of information
    condition no interaction effect of information
    condition with rounds still to be played
    decrease of trust does not start later in
    condition with full information exchange between
    trustors

26
Results Effects of Embeddedness
onTrustworthiness of theTrustee
72 trustees

27
Results Effects of Dyadic Embeddedness on
Trustworthiness of the Trustee
  • Support for hypothesis on dyadic control effects
    on trustee behavior
  • Trustees are more likely to honor trust the
    larger the number of rounds still to be played
    with the respective trustor
  • Also strong endgame effect

28
Results Effects of Network Embeddedness on
Trustworthiness of the Trustee
  • Support for hypothesis on network control effects
    on trustee behavior
  • Positive effect of full information condition on
    likelihood of honoring trust
  • Endgame effect stronger for interactions with
    trustor 2 (who has less control opportunities
    than trustor 1)

29
Puzzle
  • Trustee reacts to trustors opportunities for
  • dyadic control and
  • network control
  • ?Trustee seemingly takes reputation effects of
    his behavior into account
  • Trustor reacts to her own opportunities for
    dyadic control
  • Trustor does not react to her own opportunities
    for network control

30
  • Related Findings from Other Empirical Studies
    Using Complementary Research Designs

31
Evidence on Embeddedness Effects from
Complementary Research Designs
  • Approach use complementary research designs
    (survey, vignette study, lab experiment) for
    multiple tests of the same hypotheses (cf.
    triangulation, cross validation)
  • Similar perspective
  • Sociology J.H. Goldthorpe (1996) The
    Quantitative Analysis of Large-scale Data Sets
    and Rational Action Theory For a Sociological
    Alliance, ESR 12
  • Economics G.W. Harrison J.L. List (2004) Field
    Experiments, JEL 42(4)

32
Alternative DesignsAdvantages and Disadvantages
Advantages Disadvantages
Survey Actual interactions Measurement problems less control over variables
Lab experiment Control over incentives and embeddedness variables Abstract external validity
Vignette study Less abstract than lab experiments control over variables Hypothetical interactions lack of incentive compatibility
33
Summary of Empirical Evidence
Survey Vignette study Lab experiment
Dyadic learning Consistent support for dyadic learning and control effects on trust of trustor Quite some support for dyadic control effects on trustworthiness of trustee Consistent support for dyadic learning and control effects on trust of trustor Quite some support for dyadic control effects on trustworthiness of trustee Consistent support for dyadic learning and control effects on trust of trustor Quite some support for dyadic control effects on trustworthiness of trustee
Dyadic control Consistent support for dyadic learning and control effects on trust of trustor Quite some support for dyadic control effects on trustworthiness of trustee Consistent support for dyadic learning and control effects on trust of trustor Quite some support for dyadic control effects on trustworthiness of trustee Consistent support for dyadic learning and control effects on trust of trustor Quite some support for dyadic control effects on trustworthiness of trustee
Network learning Consistent support for network learning effects on trust of trustor No support for network control effects on trust of trustor Consistent support for network control effects on trustworthiness of trustee Consistent support for network learning effects on trust of trustor No support for network control effects on trust of trustor Consistent support for network control effects on trustworthiness of trustee Consistent support for network learning effects on trust of trustor No support for network control effects on trust of trustor Consistent support for network control effects on trustworthiness of trustee
Network control Consistent support for network learning effects on trust of trustor No support for network control effects on trust of trustor Consistent support for network control effects on trustworthiness of trustee Consistent support for network learning effects on trust of trustor No support for network control effects on trust of trustor Consistent support for network control effects on trustworthiness of trustee Consistent support for network learning effects on trust of trustor No support for network control effects on trust of trustor Consistent support for network control effects on trustworthiness of trustee
34
Once Again the Puzzle
  • Trustee reacts to trustors opportunities for
  • dyadic control and
  • network control
  • ?Trustee seemingly takes reputation effects of
    his behavior into account
  • Trustor reacts to her own opportunities for
    dyadic control
  • Trustor does not react to her own opportunities
    for network control

35
How (not) to Explain the Puzzle?
  • Data and/or measurement problems (including
    sample selectivity and endogeneity of network
    embeddedness) could be (part of) the reason why
    we do not find network control effects on trustor
    behavior in survey data (see Buskens 2002)
  • Data and/or measurement problems are much less
    plausible reasons for the lack of network control
    effects on trustor behavior in the experiment

36
How to Explain the PuzzleLimits of Strategic
Rationality?
  • General idea Trustor anticipation on her own
    opportunities for network control involves too
    many steps of iterated reasoning, at least for
    inexperienced subjects
  • Network control effects on trustee behavior
    require only that trustee anticipates that own
    present behavior affects future trust of the
    present or other trustors
  • Network control effects on trustor behavior
    require that trustor anticipates that the trustee
    anticipates on effects of his present behavior on
    future trust of other trustors

37
Similar Arguments in the Literature
  • Equilibrium behavior becomes less likely when
    actors have to reason many steps ahead
  • Equilibrium behavior requires that actors are
    sufficiently experienced
  • (see, e.g., Binmore, Camerer, Kreps)

38
  • Conclusions
  • Ongoing and Future Research

39
Testable Implications ofthe Explanation of the
Puzzle and Empirical Evidence
  • In the experiment, trustors who have been in the
    role of trustee in an earlier game (and thus have
    more experience) should be more likely to react
    to network control opportunities. There is some
    support for this effect in our data.
  • We also find support for network control effects
    on trustor behavior in one of our vignette
    studies with experienced subjects (purchase
    managers) in the trustor role.

40
Extended Version of Our Experiment Some
Preliminary Evidence for Experience Effects I
  • We meanwhile repeated the experiment with
    subjects playing 6 rather than 3 repeated trust
    games
  • Each subject was twice in each role (trustor 1,
    trustor 2, trustee)
  • 138 subjects, data on 8.280 trust games
  • First question is there evidence for experience
    effects in the sense that behavior in later
    repeated trust games differs from behavior in
    earlier repeated trust games?

41
Extended Version of Our Experiment Some
Preliminary Evidence for Experience Effects II
42
Related Empirical Evidence fromOther Research
  • Professionals tend to implement relatively
    complex equilibrium behavior as well as
    equilibrium behavior that requires quite some
    iterated reasoning, also in situations where
    non-professionals fail to do so
  • Professional soccer players (versus college
    students) in zero-sum games such as penalty kicks
    (but also strategically equivalent lab
    experiments) Palacios-Huerta Volij Berger
    Hammer
  • Chess Grandmasters versus college students in the
    Centipede Game Palacios-Huerta Volij
  • Related empirical evidence on spillover effects
    between games (Bednar et al.)

43
Further Extension Investments in Embeddedness
and Strategic Network Formation I
  • Embeddedness is exogenous in the experiment
  • Consider an alternative scenario before playing
    the repeated Trust Games, subjects themselves
    decide to play in one of the two information
    exchange conditions. Playing in full information
    exchange between trustors is costly
  • Thus, the alternative scenario includes strategic
    network formation subjects can invest in network
    embeddedness

44
Further Extension Investments in Embeddedness
and Strategic Network Formation II
  • The alternative scenario allows for an analysis
    of strategic network formation under the
    assumption of full strategic rationality
  • Questions
  • Effects of game parameters (payoffs, of rounds
    of the repeated trust game)?
  • Effects of who can invest in network
    embeddedness (trustors or trustee)?

45
Further Extension Investments in Embeddedness
and Strategic Network Formation III
  • Theoretical approach
  • Calculate expected payoffs in equilibrium for the
    two conditions (no information exchange between
    trustors vs. full information exchange between
    trustors)
  • Difference willingness to pay
  • Issue possible signaling effects if trustee can
    invest in embeddedness

46
  • Thanks for your attention!
  • More information
  • www.fss.uu.nl/soc/iscore

47
  • Additional Slides

48
Further Details on the Experiment
  • Sessions took between 55 and 70 minutes.
  • Subjects earnings
  • Average 10.67
  • 10.25 in condition without information exchange
  • 11.10 in condition with full information
    exchange
  • Minimum earnings 7.00
  • Maximum earnings 12.40

49
Comparison of the Design with Bolton et al. 2004
(BKO 04) and Bolton Ockenfels 2009 (BO 09)
  • No information exchange between trustors
    resembles the partners market in BKO 04 and BO
    09
  • Full information exchange between trustors
    combines dyadic embeddedness and network
    embeddedness and thus differs from the
    reputation market in BKO 04 and BO 09 that
    represents exclusively a form of network
    embeddedness
  • BKO 04 and BO 09 has no condition that combines
    dyadic and network embeddedness
  • Our experiment neglects the strangers market in
    BKO 04 and BO 09

50
Trust Problems as Social Dilemmas
  • The buyer (trustor) has to trust the seller
    (trustee) that he ships the book and that the
    book corresponds with the specifications
  • The trustee has an incentive to abuse trust
  • This may induce the trustor not to place trust in
    the first place
  • Placed and honored trust is better for both
    actors than no trust.
  • Hence, trust problems as an example of social
    dilemmas goal-directed behavior leads to poor
    outcomes (unintended consequences)

51
Trust Problems as a Sociological Problem
  • Problem of social order
  • Trust problems in economic exchange (e.g.,
    buyer-supplier, RD-alliances)
  • Trust problems in social exchange (e.g., help
    among friends)

52
Results Effects on Trust
Information condition No net effect
Abused own trust in past -
Honored own trust in past
Abused other trust in past -
Honored other trust in past
Rounds to go
Rounds to go information 0
Round 14 -
Round 15 -
Info cond round 14 0
Info cond round 15 -
53
Results Effects on Trustworthiness
Information condition
Rounds to go
Rounds to go information -
Round 14 -
Round 15 -
Info cond round 14 trustor 2 -
Info cond round 15 trustor 2 -
54
Results Effects on Trust
55
Results Effects on Trustworthiness
56
Results Experience Effects
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