Globalproduktplatform og Integrationsprojektets fase 2 og 3
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Transcript Globalproduktplatform og Integrationsprojektets fase 2 og 3
Intertemporal Choice
Ec 101 Prof. Camerer
Time preference:
Preferences for earlier vs later rewards
Important choices involve time
longer time horizon more irreversibility
careers, children, retirement
Likely to be difficult
the brain is not evolved for long-term reward
self-control: addiction, obesity, procrastination
Institutions may help or hurt
”No money down!” vs expert advice &
external self-control (Soc. Security)
1 Some history of intertemporal choice
2 Anomalies from discounted utility theory (LFR
review)
3 Projection bias
4 Life-cycle savings
Field tests
Mental accounting puzzles
Calibration exercise (Angeletos et al)
Experimental data
5 Research frontiers:
Practical lessons
Sophistication vs naivete
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1. Some history of intertemporal choice (see Loewenstein, ch 1 L-Elster
Choice Over Time)
Adam Smith (1776)
”impartial spectator” (cingulate, PFC?)
John Rae (1834)
Eugen von Böhm-Bawerk (1889)
Irving Fisher (1930)
Paul Samuelson (1937)
Robert Strotz (1956)
Phelps and Pollak (1968)
Β- δ used to explain discounting of self and children (“future
selves”)
David Laibson (1994,97) adapted PP 68
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E.g., Fisher
–
Personal determinants of time preference
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Foresight
Risk of future
Self-control
Habit
Life-expectancy
Concern for lives of other persons
Fashion: “In whatever direction the leaders of fashion first
chance to move, the crowd will follow in mad pursuit…”
Was critical of econ-psych divide:
–
The fact that there are two schools, the productivity school
and the psychological school, constantly crossing swords on
this subject is a scandal in economic science and a reflection
on the inadequate methods employed by these would-be
destroyers of each other
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Discounted Utility Model
Discount factor compresses many Fisherian forces into one term
Now accepted as normative and descriptive
”It is completely arbitrary to assume that the individual
behaves so as to maximize an integral of the form evisaged in
[DU]. (Samuelson 1937)
Utility and consumption independence
Exponential time consistency
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2. Anomalies from DU (LFR)
Measured discount factors are not constant
1. Over time
2. Across type of intertemporal choices
Sign effect (gains vs. losses)
Neural substitution of ”loss” and ”delay”?
Magnitude effect (small vs. large amounts)
Sequence effect (preference for upward-sloping profiles)
Speedup-delay asymmetry (temporal loss-aversion).
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Magnitude and hyperbolic
effects
• $15 now is same as ___ in a month. ___
in a year. ___ in 10 years.
– Thaler (1981) $20 in a month (demand 345%
interest), $50 in a year (120%), $100 in 10
years (19% interest)
– Show discount rates decrease over time…
• Students asked:
– $150 vs. $x in 1 month, 1 year, 10 years
– $5000 vs $x ….
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Results of class survey
90%
$160
80%
Discount Rate
70%
60%
50%
150
$197
40%
5000
$500
30%
20%
$6,000
$14,000
10%
$5,100
0%
0
20
40
60
80
100
120
140
Months
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,
Figure 1 (LFR): Increasing variation over
time as more studies are done
9
,
Figure 2 (LFR): Increasing patience with longer
horizons
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Discounting is important in
other domains
• Education (Duckworth,
Seligman 05 Psych Sci):
Predicts 14-yr olds’
grades
• “Not the will to
win…the will to
practice”
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Role of attention & cognition: Exposure and
‘distractions’ very powerful (Walter Mischel et al)
• Delay-of-gratification in
children (ring bell when
they can’t wait any
longer for better snack)
• Fun thoughts, covering
snacks enhances
patience…except if they
are thinking about the
snacks! (see Fig 6.1)
• Thoughts about
“arousing” features
versus “cognitive reappraisal” creates
impatience
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Field test:
Front-loaded buyouts for soldiers
(Warner-Pleeter AER 01)
• After the Gulf War in the early 1990s the
military enticed soldiers into retirement
• Choose between a lump sum payment
(on the order of $20K) and an annuity
(worth around $40K in PV @ r=10%)
• Officers: 50% took lump sum
• Enlisted: 90% took lump sum
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Officers
enlisted
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• Can estimate discount rates from large
n=55,000 sample (enlisted results)
– Male +.01
– Black +.035
– College -.048
– Test scores: high (-.016), medium (-.01)
– Size of lump sum (-.059/$10k) (largest fx)
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Vietnam exp (w/ Tomomi Tanaka, Quang Nguyen)
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General model estimation
•
Benhabib, Bisin, Schotter (04)
1
•
•
•
•
•
Θ=1 exponential =x*exp(-rt)
Θ=2 hyperbolic =x/(1+rt)
Graph for Θ=1,2,5 (r=.13)
BBS est. Θ (2.62,4.14), r (6.37, 33.64)
Vietnam villages: Θ=5.19, r=13, α=.88
– ROSCA participants have higher α
(+.15), lower r (-.04)
0.9
0.8
0.7
0.6
0.5
5
0.4
1
2
0.3
0.2
0.1
0
•
Can also add fixed cost (-b) and variable
cost (α multiplier)
0
1
5
10
15
20
25
30
– Highly variable estimates
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Projection bias
(Loewenstein, Read, Rabin )
• Overestimate duration of statedependence
is estimated utility in s’ from state s
α=0 rational
• Examples:
– Shopping while hungry
– Childbirth: Lamaze versus epidural painkiller during
labor
– Cannibalism
– Interpersonal: Difficult to imagine what people will do in
different emotional states...(looting, lynchmobs,
corporate scandals, crimes of passion, heroic acts...)
– Wilson-Gilbert ”affective forecasting” mistakes (fail to
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appreciate ’emotional immune system’)
Empirics: Catalog sales for
winter clothes items
•
Winter-item catalog sales (Conlin, O’Donoghue, Vogelsang AER in press)
–
–
2.4 million observations 95-99. One 1 day to process, 3-7 days to ship
Theory predicts returns will depend + on temperature on return day R
- on temperature on order day O
intuition: lower temp(O) ”surprised” at ”high” temp(R) and then return
temp(O)
temp (R)
Structural estimates of α from .01-.64
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4. Lifecycle savings
”Golden eggs and hyperbolic discounting”
Hyperbolics are tempted
Illiquid assets provide commitment
Two-thirds of US wealth illiquid (real estate)
Not counting human capital
Access to credit reduces commitment
Explain decline in savings rate 1980s?
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Borrowing: Boom in bankruptcies
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Borrowing: Credit card facts
• Average debt
outstanding by
income quintile (IQ)
$3,000
$2,500
IQ 1
$2,000
IQ 2
$1,500
IQ 3
IQ 4
$1,000
IQ 5
$500
$0
1970
14.8%
• Rates (APR, red)
have
fallen as interest rates
fall (blue). Blue is
“spread”
14.4%
1977
14.5%
1983
14.6%
1989
14.4%
1992
1995
1998
2001
14.3% 14.3%
13.7%
12.8%
6.6%
6.4%
6.4%
5.3%
5.7%
6.0%
5.0%
4.6%
4.0%
'95
'96
'97
'98
'99
12.3%
'00
'01
'02
'03
4.3%
'04
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Mental accounting and MPC
(Thaler-Shefrin 1988)
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Angeletos et al calibration
Model features
Quasi-hyperbolic sophisticated preferences
uncertain future labor income
liquidity constraint
allow to borrow on credit cards - limit
hyperbolic discounting – implications
labor income autocorrelated – shocks
hold liquid and illiquid assets
Calibration strategy:
Fix some parameters, simulate behavior, compare properties with data
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Figure 3: Shapes of discount functions
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,
Figure 4:
- from Angeletos et al
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Figure 5:
- from Angeletos et al
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Figure 6:
- from Angeletos et al
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,
Figure 7:
- from Angeletos et al
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,
Table 1:
- from Angeletos et al
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,
Table 2:
- from Angeletos et al
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Habit formation Spending
• “The hedonic treadmill”
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Habit formation Spending
• “The hedonic treadmill”
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Optimal saving and investing: Do
‘sufficiently rational agents optimize?’
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Economics Nobel laureates reflect
(from LA Times)
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Beverage delivery apparatus
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5. Research frontiers:
Sophistication vs naivete
• Are hyperbolics “sophisticated”? or “naïve”?
• Sophisticated hyperbolics will prefer pre-commitment
–
–
–
–
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IRS refunds
Deadlines (Blockbuster vs Netflix)
Ulysses and the sirens
“Arrest me” list on riverboat casinos
Wertenbroch:
• Smaller package sizes of “vices” than “virtues”
• Cigarettes by the pack, gym contracts (Malmendier-Della Vigna
AER 06, $19/visit vs $10 visit fee)
• Q: Will markets work? Or does government have special
legal power to enforce these contracts? (e.g. Army
AWOL)
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Sophisticates seek self-control (from
periodic food stamp checks,
Ohls 92; Shapiro, 03 JPubEc)
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Factoid…
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80% of respondents have negative discount
rates! voluntary “forced saving”
(Shapiro JPubEc 03; cf. Ashraf et al QJE in press)
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Frontiers: Practical value of behavioral econ:
Save More Tomorrow™ (Benartzi-Thaler JPE 04)
• Exploit power of inertia and desire to avoid a
nominal decrease in pay
• Commit 1/3 of future raise to 401(k)
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Swedish privatization c 2000:
(Cronqvist-Thaler AER 04)
• Driven by desire for investor autonomy
– 456 funds, could advertise & set fees
– Information (fees, performance, risk) in book
form
– Big ad campaign: Investors encouraged to
choose their own fund (57% of young did)
– What happened?
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Swedish privatization: (CronqvistThaler AER 04)
• Autonomous
investors
– “home biased”
– high fees
– Poor
performance
– 03: 92% of
young choose
default
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Neural evidence: (McClure et al Sci 04):
u(x0,x1,…)/ β = (1/β)u(x0) + [δu(x1) + δ2u(x2) +…]
Impulsive β ↓
long-term planning δ ↓
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Problem: Measured δ system is all stimulus activity…
use difficulty to separate δ (bottom left), δ more active in late
decisions with immediacy…but is it δ or complexity?
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Other aspects of time in econ
Other models and phenomena
Habit formation (common in macro)
Visceral influence (emotion-cognition)
Temptation preferences (Gul-Pesendorfer 01 Emetrica)
w{w,t}t iff U(S)=maxxS[u(x)+v(x)] –maxy S v(y)
Anxiety/savoring/memory as consumption (Caplin-Leahy; e.g. wedding
planning)
Multiple selves/dual process models
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Types of anticipation preferences
• Reference-dependent preferences (K-Rabin 04)
– Belief about choice changes reference point
– Endowment effects/”auction fever”
– Explains experience effects (experienced traders expect to
lose objects, doesn’t enter endowment/ f1)
• Emotions and self-regulation
– E.g. depression. Focusses attention on bad outcomes,
causes further depression
• Intimidating decisions
– f1 may increase stress about future choices
– health care, marriage, job market, etc.
– Better to pretend future choice=status quo
• Q: When are these effects economically large?’
– Avoid the doctor late cancer diagnosis
– Supply side determination of endowment effects (marketing)
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Three interesting patterns
• Self-fulfilling beliefs
– u2(δz,z)>u2(δz,z’) u2(δz’,z’)> u2(δz’,z)
– prefer z if you expect(ed) z, z’ if you expect(ed) z’
– Cognitive dissonance, encoding bias
• “If I could change the way/I live my life today/I wouldn’t change/a single
thing”– Lisa Stansfield
• Undermines learning from mistakes
• Time inconsistency
– Self 2 prefers z’ given beliefs u2(f1,z’)>u2(f1,z)
– but self 1 preferred to believe and pick z
u1(x,δz,z)>u1(x,δz’,z’)
– Problem: Beliefs occur after self 1 picks
• Informational preferences
– Resolution-loving: Likes to know actual period 2 choice ahead of time
– Information-neutral: Doesn’t care about knowing choice ahead of time
(“go with the flow”)
– Information-loving: Prefers more information to less (convex utility in f1)
– Disappointment-averse (prefers correct to incorrect guesses):
•
• u1(x,δz,z)+u1(x,δz’,z’)> u1(x,δz’,z)+u1(x,δ
Surprising fact: If none of above hold, then personal equilibrium iff u* max’s
E(u1(z1,z2) I.e. only way beliefs can matter is through these
three
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Koszegi, “Utility from anticipation and
personal equilibrium”
• Framework: Two selves, 1 and 2
– Choices z1,z2 , belief about z2 is f1
– u1(z1,f1,z2)
– anticipation function Φ(z1,d2)=f1 (d2 is period 2 decision
problem)
– personal equilibrium:
• each self optimizes
• Φ(z1,d2)=s2(z1,Φ(z1,d2),d2) anticipate s2(.) choice
– Beliefs are both a source of utility and constraint
• Timeline:
– Choose from z1 X d2.
– Choose f1 from Φ.
– Choose z2
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