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Defaults, choice architecture, and choice overloadDan GoldsteinAssistant Professor of MarketingLondon Business School
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Classical View:–Diagnosis: People do not derive enough value from organ donation.–Treatment: Increase incentives.
Psychology / Behavioral Economics:–Diagnosis: People do not know whether they want to donate organs,
they generate an answer when asked.–Treatment:
–Realize this is an unpleasant question and that there is a cost in
making a decision.–Ask questions in a way that gives the answer most people would if
they thought about it at length.
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Organ Donation
Johnson & Goldstein, 2003
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Constructed preferences
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Donation rates per million–Years 1991-2001–Presumed vs. Explicit Consent
Controls–Transplant Centers per million–Percent post-secondary education–Percent Roman Catholic
Result: Defaults produce a 16%
(Johnson and Goldstein), 25-30% (Abadie
and Gay) to 50% (Gimble et al.) increase
in donations.
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The case for consumer protection
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Opt-out privacy
+ $40 Million
With seat reservationWithout seat reservation
With seat reservationWithout seat reservation
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+ $2 Billion
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•Effort / Inattention•Loss Aversion / Endowment Effect•Perceived Majority Preference•Perceived Recommendation
Possible Causes of Default Effects
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Recommendations
People are asked to choose investment funds and allocate money to them.
___________
___________
___________
___________
To select more funds click here
________________________________________________________________________________________
“Heuristics and Biases in Retirement Savings Behavior,” Benartzi and Thaler (2006)
Small form Big form
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0
5
10
15
20
25
30
35
40
45
Small form Big form
Per
cen
t C
ho
osi
ng
mo
re t
han
4 f
un
ds
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Positive influences of defaults
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Choice of “Green” Energy in a European City
0%
10%
20%
30%
40%
50%
60%
70%
80%
Before Green Default After Green Default
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In a firm where new employees save nothing towards their pension as a default …
… 70% of employees savednothing towards their own pension.
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Contribution levels when the default is 3%
0%
10%
20%
30%
40%
50%
60%
70%
0 1-2% 3% 4-5% 6% 7-10% 11-15%
Contribution Level
Perc
en
tag
e o
f E
mp
loyees
From “The Importance of Default Options for Retirement Saving Outcomes: Evidence from the United States” by Beshears, Choi, Laibson & Madrian. Available online.
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Save More Tomorrow
0
2
4
6
8
10
12
14
16
Pre-advice First raise Second raise Third raise Fourth raise
Co
ntr
ibu
tio
n r
ate
Benartzi and Thaler, 2007
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Policies for setting defaults
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Rules for setting defaults
• Mass defaults
• Benign defaults
• Random defaults
• Hidden options
• Forced choice
• Personalized defaults
• Persistent defaults
• Smart defaults
• Adaptive defaults