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A5

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Consumer and Producer Theory, ITAM
Instructor: Xinyang Wang
Assignment 5
Due: in class, on September 20th 2022
1. Consider an age-parametrized consumer’s problem: there is only one commodity, and
the consumption of it is denoted by a number x
0. The age parameter a ranges from
[0, 2]. At age a, the income is a2 , and the happiness is determined by a utility function
u(x, a) = 1
(x
a)2 (that is, this agent is satisfied by consuming a units of the commodity).
We denote this agent’s optimal happiness level at age a by V (a) and his optimal consumption
level by µ(a). Formally,
V (a) = max2 u(x, a)
x2[0,a ]
µ(a) = argmax u(x, a)
x2[0,a2 ]
a. In one coordinate system, draw the graph of functions u(x, 0), u(x, 0.5), u(x, 1), u(x, 1.5),
u(x, 2).
b. highlight points (µ(a), V (µ(a))) for a = 0, 0.5, 1, 1.5, 2 in your graphs in a.
c. Using a and b, draw the “upper envelope” of this class of optimization problems. That is,
draw the curve (µ(a), V (µ(a))) for a 2 [0, 2].
d. Compute V 0 (1) and give an interpretation of this number.1
e. Applying the maximum theorem to prove that µ is a continuous function. Please verify
carefully that the assumptions of the maximum theorem holds.
2. Fix a pair (p, w) where p >> 0 and w > 0 and assume u is concave and di↵erentiable. Prove if the pair (x⇤ ,
⇤
) satisfies the KKT condition for the consumer’s problem
maxx2RN+ :p·xw u(x), then, we have x⇤ solves the
⇤
max u(y) +
y2RN
+
(w
p · y)
Then, explain this link intuitively using the meaning of
1
⇤ 2
.
compare to the interpretation of as the shadow value of money
This is a trick that many theorists have used: for an individual consumer’s problem, at the optimum,
the utility function could be approximated by some quasi-linear utility function in money.
2
1
a) , b)
,
Graph
c)
Choice
set
MIX
my
1- te
as
a
a)
is
maximizers
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z
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age
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eualuated
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if
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since
[ 0,2 ]
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on
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cts
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,
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te
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,
I
then
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is
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:
by
the
maximiza tics
uhc
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.
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that
in
the
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]
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thmhold
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o
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letus
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have
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is
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is
Mhc
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=
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and
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re
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functions are
cts
ble
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ats I
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it
is
Let
define
us
respectiva
following
Functions
the
lagrangian
E
a
with there
:
Mix )
Max
X
optimization problemas
3-
Set
CCNUCX
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ccncave
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sduticn
the
and
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RI
s
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o
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.
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.
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in
n
L
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implies
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ALW
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by
the
(
,
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l
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px
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friki
TMCX
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,
.
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n
y
=
the
conditions
following
the
,
KKT
holds
for
CI
)
.
:
:
I
=
.
,
.
.
n
,
:
I,
=
n
.
,
.
.
≥ o
w
( F
-
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slacknesss )
complementar y
D
-
.
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✗
o
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I
=
satisfies
feasibility )
dual
)
Y
.
,
conditions
≤
o
ti
-
1*1
x
.
7
-
)
E. prixi
p
-
i
feasibility
primal
µ
l
*
KKT
p
(
.
(✗
pair
y
≤
p y
-
-
¡
s.to
the
(
p
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f)
ni
1127
c-
uiy
that
( w
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O
.
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)
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O
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fi
o
)
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:
=
'
.
.
.
,
,
n
:
-
µ
=
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516
-
•
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observe
,
the
KKT
(
≤
≥
=
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observe
thus
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the
that
must
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o
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.
)
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.
+
,
:
n
.
.
.
,
:
)
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for
n
.
slackness )
fi
o
.
.
,
I,
=
'
=
.
,
.
.
,
n
:
both
)
O
=
µ
-
problemas
problem LI ) uses the quasi
As the linear
Component
utilitytedfunction
liner
the derivativo
the
from
of
separa
to
)
the
problem become equivalen t
intuition
as
:
-
-
-
•
show
As
1 is the
han
direclty
the
Shadow value
ir
of
affect
changeó
the
objective faction
w
in
problem
with
a
bad
get
more
y
,
me
D
-
linea
-
he
con
CI
Same
,
E
can
.
non
the
are
Q
•
)
(I
:
=\
complementar y
µ i.Xi
-
Fi
Ji
)
feasibility )
dual
µ
l
feasibility
primal
o
(
for problem
conditions
ponent
diredt
,
Y
by putting
payollf
equivalen
Hing
(
constvuintl
it
as
wri
.
616
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