Impatience and savings.
Laibson, David
When making decisions with immediate consequences, economic actors
typically display a high degree of impatience. Consumers choose
immediate pleasures instead of waiting a few days for much larger
rewards. Consumers want "instant gratification."
However, people do not behave impatiently when they make decisions
for the future. Few people plan to break their diets next week. Instead,
people tend to splurge today and vow to exercise/diet/save tomorrow.
From today's viewpoint, people prefer to act impatiently right now
but to act patiently later.
Data from neuroscience experiments provide a potential explanation
for these observations: short-run decisions engage different brain
systems from long-run decisions. Using functional magnetic resonance
imaging (fMRI), Samuel McClure, George Loewenstein, Jonathan D. Cohen,
and I have shown that decisions that involve at least some short-run
tradeoffs recruit both analytic and emotional brain systems, whereas
decisions that only involve long-run tradeoffs primarily recruit
analytic brain systems. (1) These findings suggest that people pursue
instant gratification because the emotional brain system--the limbic system--values immediate rewards but only weakly responds to delayed
rewards.
Whatever the underlying biological mechanism, the taste for instant
gratification can be incorporated into models of human behavior. Several
strands of my work have attempted to do this. Chris Harris and I have
proposed models in which actors place a special premium on immediate
pleasures. (2) I also have developed models that assume that people have
biologically conditioned motivational states: when familiar cues are
presented, consumers experience a drive to consume the goods that they
consumed in the presence of those cues in the past. (3) For example, a
cigarette smoker will urgently want a smoke when he enters his favorite
bar (where he has smoked before).
The drive for immediate gratification has many empirical
consequences that my coauthors and I have studied. Marios Angeletos,
Andrea Repetto, Jeremy Tobacman, Stephen Weinberg, and I have run
computational simulations of consumers with a taste for instant
gratification (specifically, we studied quasi-hyperbolic discount
functions). (4) We find that such consumers quickly spend whatever
liquid wealth they have and are only able to save in illiquid assets.
These consumers live from hand to mouth in their checking accounts, but
hold large stocks of illiquid assets like home equity and defined
contribution pension plans. When making long-run choices--for example,
when deciding how to invest during flush times--these consumers buy
illiquid assets that offer a high rate of return and pay out slowly over
many decades. When making short-run decisions, however, these consumers
are willing to pay a high price for immediate gratification.
Repetto, Tobacman, and I show that the taste for instant
gratification explains why households hold illiquid assets and also
frequently borrow with credit cards that involve relatively high
interest rates. (5) We also estimate the strength of the taste for
immediate gratification. (6) We find that consumers have a short-run
discount rate of 30 percent and a long-run discount rate of 5 percent.
In other words, delaying a reward by a year reduces its value by 30
percent, but delaying the same reward an additional year only generates
an additional 5 percent devaluation.
Consumers with a taste for immediate gratification will avoid
immediate disutility. Such consumers will repeatedly delay finishing
unpleasant tasks like enrolling in a 401(k) plan. James J. Choi,
Brigitte Madrian, Andrew Metrick, and I have found signs of
procrastination in a survey of employees. (7) Over two thirds of
respondents say that they save too little, and none say that they save
too much. Among the self-reported undersavers, over one third say that
they plan to join the 401 (k) plan or raise their savings rate in the
next two months. Using administrative records, we find that almost none
follow through in the next four months.
It is typically difficult to determine whether households save
optimally. Even asking a respondent--as we did above--yields ambiguous
evidence, since it is not clear what it means to say, "I save too
little." But in some cases, savings incentives are strong enough to
make very sharp predictions about optimal 401(k) contribution rates.
Choi, Madrian and I have analyzed employees who receive
employer-matching contributions in their 401(k) plan and are allowed to
make discretionary, penalty-free, in-service withdrawals. (8) For these
employees, contributing below the match threshold is an unambiguous
mistake. Nevertheless, half of employees with such clear-cut incentives
do contribute below the match threshold, foregoing match payments that
average 1.3 percent of their annual pay. In our sample, making this
mistake correlates with other types of procrastination. Finally,
providing these "undersavers" with specific information about
the free lunch they are foregoing fails to raise contribution rates.
Such savings problems suggest that economists should think about
the effectiveness of existing savings institutions. In particular,
economists should ask why new employees take so long to enroll in 401(k)
plans. Madrian and Dennis Shea started this literature by showing that
defaults play a critical role. (9) Their original paper shows that the
typical employee sticks with the default option--whether the default is
enrollment or non-enrollment--for years after joining a new firm. Follow
up papers have replicated these findings in a large number of firms.
(10)
In a typical company with a standard default of non-enrollment,
only about one third of employees enroll on their own during the first
six months of employment. Even after a year, only half of employees
enroll in the 401(k) plan. Under the automatic enrollment system, new
employees are automatically enrolled in the 401(k) and may opt out of
the plan. If employees do nothing they are enrolled at a default savings
rate (typically 2 or 3 percent of their wages) and their investments are
allocated to a default portfolio (typically a money market, although
increasingly, automatic enrollment systems are using lifecycle funds as
the default). Under automatic enrollment, about 90 percent of employees
accept default enrollment, and about 75 percent of these enrollees
accept the default savings rate and the default asset allocation.
The consequences of passivity and status quo bias affect a wide
range of 401(k) outcomes. Choi, Madrian, Metrick, and I find that 401(k)
plan participants follow the path of least resistance in every
investment decision that they make. (11) For example, the match
threshold is the maximal (employee) contribution rate at which the
employer provides a match (at the margin). Most employees who enroll in
401(k) plans contribute up to the match threshold. When an employer
raises the match threshold, employees who join the plan after the change
exploit the higher match threshold, but employees hired before the
change typically take three years to raise their savings rate.
Evidence on company stock also supports the conclusion that savers
are remarkably passive. (12) In 401(k) plans with the option to invest
in company stock, nearly half of the assets are invested in company
stock. Moreover, this pattern of investment was unaffected by the
prominent bankruptcies of Enron, Worldcom, Global Crossing, and many
other firms in the aftermath of the collapse of the technology bubble.
Employees who lost their entire life savings in the Enron debacle were
frequently discussed in the media at the time of the Enron bankruptcy,
but American workers have not generalized that message. Company stock
allocations never budged. The high allocation to company stock is linked
to the fact that many employer-matching contributions are automatically
invested in company stock. These matched contributions stay in employer
stock, even when employees have the option to reallocate the money. In
contrast, when an employer asks its employees to choose their own
portfolio allocation, employees invest a much lower share in company
stock.
Asking employees to make their own decisions--by discouraging
reliance on a default action or removing the default altogether--also
provides a good system for 401(k) enrollment. (13) For example, one firm
asked new employees to tell the firm their enrollment
decision--including their enrollment savings rate and asset
allocation--within 30 days of their hire date. Naturally, the employees
can change their mind later, but they are supposed to make an initial
decision within 30 days. Enforcement works the same way that the choice
of a medical insurance plan works at most companies: employees who do
not make the decision are reminded to do so. We call this an active
decision enrollment system, since employees are encouraged to decide for
themselves. We find that such active decision enrollment produces very
good results. A few months after hire, employees hired under an active
decision regime have a 70 percent enrollment rate in the 401(k).
Moreover these employees seem to be making smart savings choices. In
particular, the distribution of savings rate at three months of tenure
under an active decision regime matches the distribution of savings
rates at three years of tenure under a standard enrollment regime.
However, active decisions are unlikely to work as well as defaults when
people are relatively uninformed about the decision they are being asked
to make. (14)
The power of defaults implies that policymakers and 401(k) plan
designers should pick defaults very carefully, even though they are
non-binding. My coauthors and I have developed a framework for analyzing
this problem. (15) We calculate the socially optimal 401(k) enrollment
regime. Three different 401(k) enrollment procedures endogenously emerge
from the model. We derive conditions under which the optimal enrollment
regime is: automatic enrollment (that is, default enrollment); standard
opt-in enrollment (that is, default non-enrollment); or an active
decision (that is, no default and compulsory choice). The active
decision regime is socially optimal when consumers have a large degree
of variation in their savings needs and a strong tendency to
procrastinate. In this case, a single default will not work well for all
consumers and households won't enroll on their own without a
deadline. Default enrollment is optimal when consumers have relatively
similar savings needs and a moderate tendency to procrastinate. In this
case, a one-size-fits-all default is not a problem because households do
not differ greatly in their savings needs. Moreover, households will not
wait too long to opt out of the default if it is not right for them.
My collaborators and I continue to study the foundations of instant
gratification, the consequences for savings behavior, and the
implications for the design of optimal savings institutions.
(1) S. McClure, D. Laibson, G. Loewenstein, and J. D. Cohen,
"Separate Neural Systems Value Immediate and Delayed Monetary
Rewards," Science, 306 (October 15, 2004), pp. 503-7.
(2) D. Laibson, "Golden Eggs and Hyperbolic Discounting,"
Quarterly Journal of Economics, 62 (May 1997), pp. 443-77; C. J. Harris
and D. Laibson, "Instantaneous Gratification," Harvard mimeo
(2005); C.J. Harris and D. Laibson, "Hyperbolic Discounting and
Consumption," in M. Dewatripont, L. P. Hansen, and S. Turnovsky,
eds., Advances in Economics and Econometrics: Theory and Applications,
Eighth World Congress, Vol. 1 (2002), pp. 258-98; and C. J. Harris and
D. Laibson, "Dynamic Choices of Hyperbolic Consumers,"
Econometrica, 69(4) (July 2001), pp. 935-57.
(3) D. Laibson, "A Cue-Theory of Consumption," Quarterly
Journal of Economics, 66(1) (February 2001), pp. 81-120.
(4) G. Angeletos, D. Laibson, A. Repetto, J. Tobacman, and S.
Weinberg, "The Hyperbolic Consumption Model: Calibration,
Simulation, and Empirical Evaluation" Journal of Economic
Perspectives (August 2001), pp. 47-68.
(5) D. Laibson, A. Repetto and J. Tobacman, "A Debt
Puzzle," in P. Aghion, Frydman, J. Stiglitz, M. Woodford, eds.,
Knowledge, Information and Expectations in Modern Economics: In Honor of
Edmund S. Phelps, Princeton: Princeton University Press (2003), pp.
228-66.
(6) D. Laibson, A. Repetto, and J. Tobacman, "Estimating
Discount Functions with Consumption Choices over the Lifecycle,"
NBER Working Paper, forthcoming.
(7) J. J. Choi, D. Laibson, B. Madrian, and A. Metrick,
"Defined Contribution Pensions: Plan Rules, Participant Decisions,
and the Path of Least Resistance," in J. M. Poterba, ed., Tax
Policy and the Economy, 16 (2002), pp. 67-113.
(8) J. J. Choi, D. Laibson, and B. Madrian, "$100 Bills on the
Sidewalk: Failing to Save Optimally in 401(k) Plans," NBER Working
Paper No. 11554, August 2005.
(9) B. Madrian and D. Shea, "The Power of Suggestion: Inertia
in 401(k) Participation and Savings Behavior," Quarterly Journal of
Economics, Vol. 116 (4) (2001), pp. 1149-87.
(10) J. J. Choi, D. Laibson, B. Madrian, and A. Metrick,
"Saving for Retirement on the Path of Least Resistance," in E.
McCaffrey and J. Slemrod, eds., Behavioral Public Finance, 2005; J. J.
Choi, D. Laibson, B. Madrian, and A. Metrick, "Plan Design and
401(k) Savings Outcomes," National Tax Journal, 57(2) (June 2004),
pp. 275-98; J. Choi, D. Laibson, B. Madrian, and A. Metrick, "For
Better or For Worse: Default Effects and 401(k) Savings Behavior"
in D. Wise, ed., Perspectives in the Economics of Aging, Chicago, IL:
University of Chicago Press (2004), pp. 81-121; and J. J. Choi, D.
Laibson, B. Madrian, and A. Metrick, "Defined Contribution
Pensions: Plan Rules, Participant Decisions, and the Path of Least
Resistance."
(11) J. J. Choi, D. Laibson, B. Madrian, and A. Metrick,
"Saving for Retirement on the Path of Least Resistance"; J. J.
Choi, D. Laibson, B. Madrian, and A. Metrick, "Defined Contribution
Pensions: Plan Rules, Participant Decisions, and the Path of Least
Resistance"; J. Choi, D. Laibson, and B. Madrian, "Are
Empowerment and Education Enough? Under-Diversification in 401(k)
Plans," NBER Working Paper, forthcoming.
(12) J. J. Choi, D. Laibson, and B. Madrian, "Are Empowerment
and Education Enough? Under-Diversification in 401(k) Plans."
(13) J.J. Choi, D. Laibson, B. Madrian, and A. Metrick,
"Active Decisions," NBER Working Paper No. 11074, January
2005.
(14) See Cronqvist and Thaler, "Design Choices in Privatized
Social-Security Systems: Learning from the Swedish Experience,"
American Economic Review, 94(2) (May 2004), pp. 424-28.
(15) J. J. Choi, D. Laibson, B. Madrian, and A. Metrick,
"Saving for Retirement on the Path of Least Resistance"; J.J.
Choi, D. Laibson, B. Madrian, and A. Metrick, "Active
Decisions;" J. J. Choi, D. Laibson, B. Madrian, and A. Metrick,
'Optimal Defaults," American Economic Review Papers and
Proceedings (May 2003), pp. 180-5.
David Laibson is a Research Associate in the NBER's Programs
on Aging, Economic Fluctuations, and Asset Pricing. He is also a
professor of Economics at Harvard University. His profile appears later
in this issue.