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201505The Fragile Benefits of Endowment Destruction.pdf
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201505The Fragile Benefits of Endowment Destruction.pdf
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The Fragile Benefits of Endowment Destruction
John Y. Campbell
Harvard University and National Bureau of Economic Research
John H. Cochrane
University of Chicago, Hoover Institution, and National Bureau of Economic Research
The benefits of endowment destruction documented by Ljungqvist and
Uhlig ð2015Þ, and the related possibility that consumption can lower hab-
its, are fragile. Both issues result from a particular way of discretely ap-
proximating the underlying continuous-time model or of adapting it to
jumps. Other ways of calculating the discrete-time approximation or ex-
tending the model to jumps easily overturn the results, while making no
difference to the model’s description of asset prices and quantities. This
analysis gives an example of how to extend models so that the jump gives
the same result as a jump limit of continuous-sample-path movements.
I. Beneficial Endowment Destruction?
If a consumer has preferences with habits, lowering consumption today
can lower future habits and potentially raise utility overall. Is habit per-
sistence this strong in the Campbell and Cochrane ð1999, 2000Þ model?
Suppose that a Campbell-Cochrane consumer at time t 5 0 is at the
steady-state log surplus consumption ratio s
0
5 s. Suppose that log en-
dowment grows steadily at the rate g for periods 0, 1, 2, that is, y
0
52g,
y
1
5 0, y
2
5 g. Suppose that the government destroys some of the time
We thank Darrell Duffie, Lars Ljungqvist, Stavros Panageas, Monika Piazzesi, and Philip
Protter for helpful comments and discussion.
Electronically published September 9, 2015
[ Journal of Political Economy, 2015, vol. 123, no. 5]
© 2015 by The University of Chicago. All rights reserved. 0022-3808/2015/12305-0007$10.00
1214
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All use subject to University of Chicago Press Terms and Conditions (http://www.journals.uchicago.edu/t-and-c).
1 endowment, so that log time 1 consumption c
1
5 w
<
0. Thereafter the
log endowment follows the usual process,
y
t11
5 g 1 y
t
1 v
t11
; t
>
2; v
t11
∼ Nð0; j
2
v
Þ; ð1Þ
and c
t
5 y
t
. We simulate this endowment process for a variety of w, and
we evaluate the utility function by averaging over a large number of sim-
ulations.
The solid line in figure 1 presents the consumer’s utility. We include
w
>
0, transfers from abroad or manna from heaven, as well as endow-
ment destruction w
<
0.
Near w 5 0, utility rises with w. Despite habit formation, endowment
destruction hurts and transfers help. However, the relationship is U
shaped so that destroying a discrete amount of the endowment raises
utility. This is Ljungqvist and Uhlig’s ð2015Þ main point.
The solid line uses a monthly time interval, as we did in Campbell and
Cochrane ð1999Þ. The dashed line of figure 1 presents instead the same
endowment destruction episode, with the model simulated at a daily
time interval. Starting at time t 5 0 we add ðor subtract, when w
<
0Þ w=30
FIG.1.—Effect of endowment destruction. At time t 5 1, an amount w is added or sub-
tracted to log consumption. The figure plots achieved utility as a function of w. The solid
line uses a monthly time interval and perturbs consumption at month t 5 1 only. The
dashed line uses a daily time interval, modifying consumption in a V-shaped pattern for
2 months.
comments 1215
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All use subject to University of Chicago Press Terms and Conditions (http://www.journals.uchicago.edu/t-and-c).
from log consumption each day for 30 days. We then restore consump-
tion the same way, producing a V-shaped daily consumption pattern that
bottoms out at the same w value on day 30. We simulate the model for-
ward as before.
In this daily simulation, the Ljungqvist and Uhlig pattern disappears.
Output destruction is always harmful, and transfers are always welcome.
Still smaller time intervals lead to visually indistinguishable results.
To produce figure 1, we simulate the monthly or daily version of ð1Þ,
using j
v
5 0:015D, where D 5 1/12 or D 5 1/360 is the simulation in-
terval. We then recursively calculate the surplus consumption ratio,
s
t1D
5 ð1 2 f
D
Þs 1 f
D
s
t
1 lðs
t
Þðc
t1D
2 c
t
2 g DÞ; ð2Þ
where
lðsÞ ;
1
S
ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi
1 2 2ðs 2 s Þ
p
2 1 s ≤ s
max
0 s ≥ s
max
,
8
<
:
ð3Þ
s
t
5 log ðS
t
Þ 5 log
C
t
2 X
t
C
t
;
c
t
5 logðC
t
Þ is log consumption, X
t
is habit, and s 5 log
S 5 logð0:057Þ,
f 5 0:87, g 5 0.0189, and s
max
5 s 1 1=2ð1 2
S
2
Þ are parameters. We
then evaluate the utility function
U 5
1
1 2 g
E
o
`
t50;D;2D;:::
d
t
ðC
t
2 X
t
Þ
12g
5
1
1 2 g
E
o
t
d
t
e
ð12gÞðc
t
1s
t
Þ
;
with d 5 0:89, g 5 2:00 by averaging over simulations. This is the
Campbell-Cochrane ð1999Þ model and parameters.
Why are the results of the daily simulation so different from those of
the monthly simulation? Examine ð2Þ closely. During the daily simula-
tion D 5 1/360, the surplus consumption ratio responds to each little bit
of consumption each day, and a new lðs
t
Þ is recomputed each day. Dur-
ing the monthly simulation the same lðs
0
Þ applies to all the daily changes
from t 5 0tot 5 1/12, and the same lðs
1=12
Þ applies to all the daily changes
from t 5 1/12 to t 5 2/12. A daily simulation that uses the beginning-of-
the-month value of lðs
t
Þ rather than the continuously evolving one would
generate Ljungqvist and Uhlig’s result.
1216 journal of political economy
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All use subject to University of Chicago Press Terms and Conditions (http://www.journals.uchicago.edu/t-and-c).
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