Neuroeconomics and Savings

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Neuroeconomics and Savings

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Picking for tonight: 66% of subjects choose low brow. ... Tonight I want sugar-coated entertainment... next week I want things that are good for me. ... – PowerPoint PPT presentation

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Title: Neuroeconomics and Savings


1
Neuroeconomics and Savings
  • David Laibson
  • Harvard University, Department of Economics
  • and National Bureau of Economic Research
  • April 1, 2006
  • NIA Conference, Stanford University

2
Psychological Foundations A Thought Experiment
  • Would you like to have
  • 15 minute massage now
  • or
  • B) 20 minute massage in an hour
  • Would you like to have
  • C) 15 minute massage in a week
  • or
  • D) 20 minute massage in a week and an hour


3
Read and van Leeuwen (1998)
Choosing Today
Eating Next Week
Time
If you were deciding today, would you
choose fruit or chocolate for next week?
4
Patient choices for the future
Choosing Today
Eating Next Week
Time
Today, subjects typically choose fruit for next
week.
74 choose fruit
5
Impatient choices for today
Choosing and Eating Simultaneously
Time
If you were deciding today, would you
choose fruit or chocolate for today?
6
Time Inconsistent Preferences
Choosing and Eating Simultaneously
Time
70 choose chocolate
7
Instant Gratification and Movie DemandRead,
Loewenstein Kalyanaraman (1999)
  • Choose among 24 movie videos
  • Some are low brow Four Weddings and a Funeral
  • Some are high brow Schindlers List
  • Picking for tonight 66 of subjects choose low
    brow.
  • Picking for next Thursday 37 choose low brow.
  • Picking for second Thursday 29 choose low brow.
  • Tonight I want sugar-coated entertainment
    next week I want things that are good for
    me.

8
Outline
  • Modeling impulsivity
  • Self-defeating behaviors
  • Neuroimaging evidence and neuroeconomics

9
Behavioral Model
  • Quasi-hyperbolic discounting
  • Phelps and Pollak (1968), Laibson (1997)
  • Discounted utility function
  • Ut ut Ā½ ut1 ut2 ut3 ...
  • Discounted utility from the perspective of time
    t1.
  • Ut1 ut1 Ā½ ut2
    ut3 ...
  • Discount function reflects dynamic inconsistency
    preferences held at date t do not agree with
    preferences held at date t1.

10
Procrastination Akerlof 1991
  • Suppose you can exercise (effort cost 6) to gain
    delayed benefits (health value 8).
  • When will you exercise?
  • Exercise Today -6 Ā½ 8 -2
  • Exercise Tomorrow 0 Ā½ -6 8 1
  • Happy to make plans today to exercise tomorrow.
  • But likely to fail to follow through.

11
Self-defeating behaviors
  • Patient activities many of us plan to do
    tomorrow
  • Watch less TV.
  • Improve diet.
  • Quit smoking.
  • Floss.
  • Comply with prescriptions.
  • Exercise.
  • Cut back credit card spending.
  • Join retirement savings plan.

12
Della Vigna and Malmendier (2004)
  • Average cost of gym membership 75 per month
  • Average number of visits 4
  • Average cost per vist 19
  • Cost of pay per visit 10

13
Laibson, Repetto, and Tobacman (2004)
  • Need impulsivity to explain lifecycle consumption
    facts
  • Substantial illiquid retirement wealth W/Y
    3.9.
  • But, extensive credit card borrowing
  • 68 didnt pay their credit card in full last
    month
  • Average credit card interest rate is 14
  • Credit card debt averages 13 of annual income
  • Why do we see both saving and borrowing?!
  • Patient long-run view leads us to set up
    automatic savings institutions (home mortgage, DB
    and DC pensions)
  • Impatient short-run view leads us to postpone
    sacrifices to tomorrow, so we live hand to mouth,
    borrow on credit cards, and procrastinate

14
Survey Evidence on ProcrastinationChoi, Laibson,
Madrian, Metrick (2002)
  • Survey
  • Mailed to 590 employees (random sample)
  • 195 usable responses
  • Matched to administrative data on actual savings
    behavior
  • Consider a population of 100 employees
  • 68 report saving too little
  • 24 of 68 plan to raise 401(k) contribution in
    next 2 months
  • Only 3 of 24 actually do so in the next 4 months

15
Active decisions Choi, Laibson, Madrian,
Metrick (2004)
  • Active decision mechanisms require employees to
    make an active choice about 401(k) participation.
  • Welcome to the company
  • You are required to submit this form within 30
    days of hire, regardless of your 401(k)
    participation choice
  • If you dont want to participate, indicate that
    decision
  • If you want to participate, indicate your
    contribution rate and asset allocation
  • Being passive is not an option

16
(No Transcript)
17
401(k) participation increases under active
decisions
18
Active decisions
  • Active decision raises 401(k) participation.
  • Active decision raises savings rates by 50.
  • Active decision doesnt induce choice clustering.
  • Under active decision, employees choose
    participation level and savings rates that they
    otherwise would have taken three years to achieve.

19
Automatic enrollmentfirst studied by Madrian
and Shea (2001)
  • Welcome to the company
  • If you dont do anything
  • You are automatically enrolled in the 401(k)
  • You save 2 of your pay
  • Your contributions go into a money market fund
  • Call this phone number to opt out of enrollment
    or change your investment allocations

20
Choi, Laibson, Madrian, Metrick (2004)
21
Employees enrolled under automatic enrollment
cluster at the default contribution rate.
Default contribution rate under
automatic enrollment
22
Participants stay at the automatic enrollment
defaults for a long time.
23
Unsuccessful solutions to savings problems
  • Paying employees to save
  • matches dont work well
  • Educating employees
  • financial education (alone) doesnt work

24
100 Bills on the TableChoi, Laibson, Madrian
(2004)
  • Employer match is an instantaneous, riskless
    return on investment
  • Particularly appealing if you are over 59Ā½ years
    old
  • Have the most experience, so should be savvy
  • Retirement is close, so should be thinking about
    saving
  • Can withdraw money from 401(k) without penalty
  • We study seven companies and find that on
    average, half of employees over 59Ā½ years old are
    not fully exploiting their employer match
  • Average loss is 1.6 of salary per year

25
Financial education Choi, Laibson, Madrian,
Metrick (2004)
  • Seminars presented by professional financial
    advisors
  • Curriculum Setting savings goals, asset
    allocation, managing credit and debt, insurance
    against financial risks
  • Seminars offered throughout 2000
  • Linked data on individual employees seminar
    attendance to administrative data on actual
    savings behavior before and after seminar

26
Treatment effect is positive but small
27
  • Financial education effects are small
  • Seminar attendees have good intentions to change
    their 401(k) savings behavior, but most do not
    follow through
  • Financial education alone will not dramatically
    improve the quality of 401(k) savings outcomes
  • We have also studied the effect of the
    Enron/Worldcom/Global Crossing scandals on
    employer stock holdings
  • No net sales of employer stock in reaction to
    these news stories

28
What is the underlying mechanism?
  • Why are our preferences inconsistent?
  • Is it adaptive?
  • How should it be modeled?
  • Does it arise from a single time preference
    mechanism (e.g., Herrnsteins reward per unit
    time)?
  • Or is it the resulting of multiple systems
    interacting (Shefrin and Thaler 1981, Bernheim
    and Rangel 2004, ODonoghue and Loewenstein 2004,
    Fudenberg and Levine 2004)?

29
Shiv and Fedorikhin (1999)
"Heart and Mind in Conflict Interplay of Affect
and Cognition in Consumer Decision Making,"
Journal of Consumer Research, Vol. 26 (December
1999), 278-282.
  • Cognitive/deliberative mental processing
    resources manipulated by having people keep a
    2-digit or 7-digit number in mind as they
    walk from one room to another
  • On the way, subjects face choice between piece of
    cake or fruit-salad

30
Limbic system vs. Fronto-Parietal System
Frontal cortex
Parietal cortex
Limbic system
31
McClure, Laibson, Loewenstein, and Cohen (2004)
  • Do agents think differently about immediate
    rewards and delayed rewards?
  • Does immediacy have a special emotional
    drive/reward component?
  • Does emotional (limbic) brain value delayed
    rewards differently than the analytic
    (fronto-parietal cortex) brain?
  • Specifically, does the limbic system discount the
    future at a greater rate than the fronto-parietal
    cortex?

32
Subject choices (delay d vs. delay d)
Time
  • delay d0
    d
  • Reward R R
  • Hypothesis fronto-parietal cortex.
  • delay d0 d
  • Reward R R
  • Hypothesis fronto-parietal cortex and limbic.

Time
33
Methods
Subjects given a series of choices between
(R at d) and (R' at d') where Rd
d d'-d (R'-R)/R
? Today, 2 weeks, 1 month ? 2 weeks, 1
month ? 1, 3, 5, 10, 15, 25, 35, 50
34
Q Which regions only show elevated activation
when a subject considers an immediate reward? A
Limbic systems and para-limbic cortex.
ventral striatum
medial PFC
hippocampus
7
T13
ventral striatum
0
x -4mm
posterior cingulate cortex
medial OFC
medial OFC
35
Emotional brain
36
Analytic brain
37
Brain Activity in the Frontal System and Limbic
System Predict Behavior(Data for choices with an
immediate option.)
Frontalsystem
0.05
Brain Activity
0.0
Limbic System
-0.05
Choose Immediate Reward
Choose Delayed Reward
38
Conclusions of fMRI study
  • Time discounting results from the combined
    influence of two neural systems
  • Limbic structures are impatient
  • Fronto-parietal systems are patient.
  • These two systems are separately implicated in
    emotional and analytic brain processes.
  • The limbic (emotional) brain, does not value
    delayed rewards
  • The limbic brain creates a drive for instant
    gratification
  • Results have now been replicated with juice
    rewards

39
Summary
  • A model of impulsivity
  • Self-defeating behaviors
  • Neuroimaging and neuroeconomics
  • Future research Age variation
  • Limbic drives
  • Cortical control
  • Learning and Memory
  • Analytic cognition

40
How quickly do different age groups learn how to
exploit a complicated teaser rate offer?
Naives Slow learners
Sophisticates Immediate learners
Age of credit card holder
45-64
65
25-34
35-44
18-24
Source Agarwal, Driscoll, Gabaix, and Laibson
(2006)
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