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Theories of Social Preferences I

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One of the puzzles Fehr and Schmidt set out to explain was observed in the Ultimatum Game: ... Approach only allows for a test at an aggregate level. ... – PowerPoint PPT presentation

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Title: Theories of Social Preferences I


1
Theories of Social Preferences I
2
Theories of Social Preferences - Background
  • Certain types of behavior (e.g. charitable
    giving) are difficult to explain with standard
    economic theory
  • With the emergence of experimental economics this
    became particularly salient
  • Why do people depart from equilibrium even in the
    simplest environments?
  • 90s and first half of this decade
  • Development of theories of social preferences
  • Experiments that pit them against each other
  • Experiments that test the predictive power of the
    theories

3
Warm-up
  • Give some examples of stylized facts from
    experimental economics which are difficult to
    explain with standard theory.
  • Some researchers have argued that subjects are
    initially inexperienced and must first learn
    before equilibrium is reached (learning
    hypothesis). What do you think?

4
Theories of social preferences - Models
  • Theories of inequality aversion Subjects dont
    like inequality relative to relevant comparison
    groups.
  • Fehr Schmidt, QJE 1999
  • Bolton Ockenfels, AER 2000.
  • Theories of reciprocity Intentions (Kindness
    or Unkindness) are explicitly modeled.
  • Rabin, AER 1993.
  • Falk Fischbacher, GEB 2006.
  • Dufwenberg Kirchsteiger, GEB 2004.

All fairness models modify the utility function
All models retain the rationality assumption.
5
Preferences with linear inequality aversionFehr
Schmidt, QJE 1999.
  • Remember the Fehr-Schmidt utility function (two
    players)
  • and its graphical representation

6
Explaining behavior in the UG
  • One of the puzzles Fehr and Schmidt set out to
    explain was observed in the Ultimatum Game
  • rejection of positive amounts in binary game
  • behavior in market version in line with standard
    theory
  • Just to check how confusing I was in the lecture
    lets go over the FS equilbrium in the ultimatum
    game again...

7
Explaining the UG responder behavior
  • When will responder accept an offer?
  • Offers above 50 always accepted (why?)
  • An offer s below 50 will be accepted if

8
Explaining the UG proposer behavior
9
Explaining the UG proposer behavior (2)
10
Market versions of the UG proposer competition
  • Responder accepts any sgt0.5
  • Assume that player i makes highest offer
    0.5ltshighlt1
  • If player j offers slightly more three
    advantages
  • Less disadvantageous inequality relative to
    responder
  • Less disadvantageous inequality relative to
    proposer i
  • Monetary gain
  • In equilibrium at least two proposers offer s1
    and responder accepts (exists for any
    distribution of parameters)

11
Market versions of the UG responder competition
  • In UG the responder can control the allocation of
    the pie, by threatening to reject the offer.
  • In a market game this is only possible, if also
    competitors decline.
  • A single egoistic competitor is enough, to detain
    the majority of fair types of declining unfair
    offers.
  • If ß lt (n - 1)/n (for the proposer) there exists
    an equilibrium in which all responders accept any
    s 0 and the proposer offers s 0.
  • Solutions of a puzzle Why can there be unfair
    results in competitive games given that people
    care about fairness?
  • Answer With competition, direct punishment is
    not possible.
  • Conclusion Fairness models are not in
    contradiction to unfair results in experiments.
    One model can explain fair and unfair results.

12
Warm-up
  • So what, some critics say, you can explain
    everything by modifying the utility function.
  • What do you think?

13
Taking Fehr-Schmidt to the data
  • Predictive models of fair behavior
  • formalize intuitive ideas and make them testable.
  • ? Detect and distinguish between features.
  • Provide precise predictions for applications.
  • ? Therefore, models
  • should be applicable to any game.
  • should have a constant parameter set.

14
Taking Fehr-Schmidt to the data
  • To make predictions across games we need to find
    out more about the parameters a and ß. How?
  • Fehr and Schmidt take data from the UG to find a
    distribution of as and ßs that is consistent
    with observed behavior.
  • Given a distribution of as for the responders
    one can also find a distribution of ßs of the
    proposers that is consistent with the data.

15
Taking Fehr-Schmidt to the data
  • Fehr/Schmidt go on to show that these
    distributions are also consistent with behavior
    in several other games.

Table taken from Fehr/Schmidt, QJE 1999
16
Warm-up
  • Avner Shaked wrote a paper entitled The
    Rhethoric of Inequity Aversion in which he
    fiercely critizes Fehr and Scmidt, among other
    things for their calibration of a and ß. Where do
    you see potential problems with their approach?

17
Taking Fehr-Schmidt to the data
18
Taking Fehr-Schmidt to the data
  • Distributions cannot be determined uniquely,
    large set of distributions consistent which are
    compatible with the data
  • Shaked accuses Fehr/Schmidt of picking the one
    that best fits their purpose (and not mentioning
    it)

19
Taking Fehr-Schmidt to the data
  • Approach only allows for a test at an aggregate
    level.
  • Data provide no information about joint
    distribution of a and ß since they are taken from
    different groups.
  • How can we test within subject predictions?
  • Blanco et al (WP) play different games with same
    subjects
  • FS performs well at aggregate level, but less
    well at individual level
  • Dohmen et al (forthcoming, EL)

20
Warm-up
  • How many friends does it take to moderate Avner
    Shakeds outraged tone?
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