13 - punishment and the grimmer side Flashcards

1
Q

peoples contributions in public good games are motivated by 3 things

A

error
strategic considerations
other-regarding preferences

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2
Q

what are other regarding preferences

A

makes them want to contribute to help others
also willing to harm others

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3
Q

what is reciprocity

A

desire to reciprocate
- be kind to people that are kind
- harm people that harm

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4
Q

what is the reciprocity model preseneted by Dufwenberg and Kirchsteiger

A
  • overall utility is weighted sum of 2 components: material payoffs + reciprocation payoff
  • people make tradeoffs between these 2 payoffs

> utility depends on perceived intentions

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5
Q

what is the reciprocation payoff in

Dufwenberg

A
  • if j is kind to i - i’s payoff is higher - and she is kinder in return
  • if j is unkind - i’s payoff higher the unkinder she is

> increased payoff when you recirpocate
* willing to harm others at a cost - makes you happier

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6
Q

what is aversion to inequality

Fehr Schmidt preferences

A
  • aversion to both directions of inequality, but especially towards unfavourable inequality
  • get disutility from the inequality
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7
Q

what are Fehr Schmidt preferences

A

suggests that peoples utility from outcomes is influenced not only by material payoffs but also by fairness considerations and the distribution of payoffs amongst others

  • more money for yourself and other person is good - if you are better off than them
  • more money for them is bad if they are better off than me
  • utility function depends material payoff + whether there is inequality + who is better off than who
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8
Q

what 2 reasons explain why people might be willing to sacrifice personal gains to enforce fairness or punish

A
  1. inequality aversion
  2. reciprocity
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9
Q

when do you get disutility in Fehr Schmidt preferences

A
  • disutility if you are better off than others, and if others are better off than you
  • especially averse to being worse off than others
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10
Q

explain the indifference curves
Fehr Schmidt preferences

A

triangle
- above the equality line = upward sloping
- below the equality line = downward sloping

  • if you hurt xj enough - it will increase the utility of me
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11
Q

what do the ICs show about harm

A

I is willing to face a small cost, making both people worse off
- if j is hurt enough relative to i
* would be on a higher utility curve

  • get increased utility from seeing j get hurt if j is advantaged
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12
Q

how could you prevent free riding problem and prevent the decay of contributions

A

punishment opportunities to VCM

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13
Q

what is the main paper

A

Fehr and Gachter 2000

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14
Q

Fehr and Gachter 2000
experimental design

A

VCM game
- conditions with and without punishment opportunities (punishment + no punishment phases)
- treatments = partners + strangers

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15
Q

what was the punishment conditions

A
  • play a round - get stage 1 payoffs
  • after the round players are told the contributions of others and can assign punishment points to them anonymously
  • punishment costs both
  • for each punishment point received - players points from first stage are reduced by 10%
  • after players told how many punishement points they have been given
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16
Q

what is the standard theory of what will happen
if the game is played with punishment

A

subjects motivated only by own points
they would never punish
wouldnt want to incur costs of punishing
punishing has no positive effects on contributions

  • solved by backward induction - they wouldnt punish and the wouldnt contribute - every round
17
Q

why would players punish

A
  • strategic motive - to encourage contributions in early rounds
  • reciprocal reasons
  • unfavoural inequality
18
Q

how would you test the strategic motive of punishment

A

comparing partners and strangers

  • should be more punishment in early rounds for partners
19
Q

how does aversion to unfavourable inequality
justify punishment

A
  • low contributors have higher payoffs in stage 1 than high contributors
    high contributors will punish low contributors
20
Q

what are the predictions of inequality aversion on punishment

A
  • even low contributors will contribute to not get punished
  • higher contributions in treatments with punishment
  • low contributors punished by high
21
Q

how does reciprocity explain punishement

A
  • subjects will strong enough recipricol motives
  • will punish low contributors for their unkind actions
  • people want to repay unkindenss with unkindness
22
Q

predictions of reciprocity

A
  • higher contributions in punishment treatment
  • punishment of low contributors
  • punishment of high contributors that anticipate that high contibutors will attack them - recirpocatng the punishment
23
Q

Fehr and Gaechter 2000 findings for strangers and partners

A

order of punishment phases doesnt make difference

always discontinuity between the rounds where the switch is

  • without punishment = decay for both strangers and partners
  • with punishment = dont see decay , higher contributions on average
  • for partners - reversed decay
24
Q

why is there no decay found with punishment

A

punishment prevents decay
- for partners = reverse decay - with slight increase in contributions

25
what is the final round differences between partners and strangers
- partners contribute more than strangers - without punishment = no difference between strangers and partners - majority of people are freeriders 70% - with punishment spike at the end with 80% of partners contributing everything - no big spike for strangers
26
what did FG find about the deviation of a subject from the average contribution of other group members and the amount of punishment points receieved what is the trend
- if you contribute less than the average you will get punished more - the bigger the deviation away - the more punishment - some people that contributed more than average still got punished (recipricol?)
27
what did the regression results suggest
* DV = punishment received - negative deviation from group average is statistically significant - positive effect (magnitude stronger in partners)
28
why is strategic not the core reason for punishment
cant explain punishment in starngers cant explain punishment in late rounds of partenrs
29
punishment partenrs
highest contributions reverses decay punishemnt is a good thing