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Introduction to Modern Economic Growth
Finally, let us introduce a third assumption and suppose that households discount the future “exponentially”–or “proportionally”. In discrete time, and ignoring uncertainty, this implies that household preferences at time t = 0 can be
represented as
(5.1)
∞
X
β ti ui (ci (t)) ,
t=0
where β i ∈ (0, 1) is the discount factor of household i. This functional form implies
that the weight given to tomorrow’s utility is a fraction β i of today’s utility, and
the weight given to the utility the day after tomorrow is a fraction β 2i of today’s
utility, and so on. Exponential discounting and time separability are convenient for
us because they naturally ensure “time-consistent” behavior.
We call a solution {x (t)}Tt=0 (possibly with T = ∞) to a dynamic optimization
problem time-consistent if the following is true: whenever {x (t)}Tt=0 is an optimal
solution starting at time t = 0, {x (t)}Tt=t0 is an optimal solution to the continuation
dynamic optimization problem starting from time t = t0 ∈ [0, T ]. If a problem is
not time-consistent, we refer to it as time-inconsistent. Time-consistent problems
are much more straightforward to work with and satisfy all of the standard axioms
of rational decision-making. Although time-inconsistent preferences may be useful
in the modeling of certain behaviors we observe in practice, such as problems of