3. Reference Dependent Preferences Flashcards

1
Q

Describe how you can measure the endowment effect by randomly allocating goods

A

3 treatments
•the subject is endowed with coffee mugs and have the option to trade it for candy
•a different subject is endowed with candy and has the option of trading it for a mug
•no initial entitlement, the subject gets a choice

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2
Q

Endowment effect

A

Owning something changes it’s perceived valuation

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3
Q

Status quo bias

A

•people tend to stick with what they were randomly endowed

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4
Q

Why stay at status quo?

A
  • transaction costs
  • system 1 anchoring on status quo and inertia induced by that
  • loss aversion (moving from status quo feels like a loss)
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5
Q

Real life example of status quo bias

A

Organ donations
•opt out countries 95%
•opt in countries 15%

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6
Q

Equation for effect size

A

(Opt out - opt in)/ standard deviation

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7
Q

3 channels of default effects

A
  • endorsement
  • ease
  • endowment
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8
Q

Endorsement effect

A

The more decision makers believe that the default reflects a trusted recommendation, the more effective the default

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9
Q

Ease effect

A

The harder it is to switch, the more effective the default is

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10
Q

Endowment

A

The more decision makers feel that the default reflects the status quo, the more effective the default is

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11
Q

Framing effects

A

Logically equivalent choices that alter gain- loss perceptions and produce different results

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12
Q

How does risk seeking change when applied to a loss scenario?

A

People become far more risk seeking since they are loss averse

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13
Q

Diminished sensitivity

A

The marginal value of gains and losses decrease with size

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14
Q

Reference dependence

A

The carriers of value are gains and losses relative to a reference point, not final states as assumed in EUT

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15
Q

Prospect theory

A
  • People transform objective values x and y into subjective values v(x) and v(y) taking reference points which define gains and losses into account
  • people transform probabilities into decision weights.
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16
Q

How do people weight probabilities

A

They overweight low probabilities and underweight high probabilities

17
Q

What is the lambda riskless of a loss averse individual?

A

Lambda riskless is greater than 1

18
Q

What did Robin (Econometrica 2000) say about the coin “lose £5, gain £6 example”?

A

Rejection is due to loss aversion not risk aversion. If it was risk aversion we’d see absurd degrees of risk aversion under high stakes

19
Q

How are lambda risky and lambda riskless correlated?

A

They are positively correlated in the individual. I.e. the more loss averse you are, the higher your WTA/WTP ratio