Title: Consumer Optimisation
1Consumer Optimisation
- Microeconomia III (Lecture 6)
- Tratto da Cowell F. (2004),
- Principles of Microeoconomics
2What we're going to do
- We want to solve the consumer's optimisation
problem... - ...using methods that we've already introduced.
- This enables us to re-cycle old techniques and
results - Run the presentation for firm optimisation
- look for the points of comparison...
- and try to find as many reinterpretations as
possible.
Jump to Firm
3The problem
- Maximise consumers utility
- U(x)
U assumed to satisfy the standard shape axioms
- Subject to feasibility constraint
- x ?X
Assume consumption set is the non-negative
orthant.
- and to the budget constraint
- n
- S pixi y
- i1
The version with fixed money income
4Overview...
Consumer Optimisation
Primal and Dual problems
Two fundamental views of consumer optimisation
Lessons from the Firm
Primal and Dual again
5An obvious approach?
- We now have the elements of a standard
constrained optimisation problem - the constraints on the consumer.
- the objective function.
- The next steps might seem obvious
- set up a standard Lagrangean.
- solve it.
- interpret the solution.
- But the obvious approach is not always the most
insightful. - Were going to try something a little sneakier
6Think laterally...
- In microeconomics an optimisation problem can
often be represented in more than one form. - Which form you use depends on the information you
want to get from the solution. - This applies here.
- The same consumer optimisation problem can be
seen in two different ways. - Ive used the labels primal and dual that
have become standard in the literature.
7A five-point plan
The primal problem
- Set out the basic consumer optimisation problem.
- Show that the solution is equivalent to another
problem. - Show that this equivalent problem is identical to
that of the firm. - Write down the solution.
- Go back to the problem we first thought of...
The dual problem
The primal problem again
8The primal problem
- The consumer aims to maximise utility...
x2
- Subject to budget constraint
- Defines the primal problem.
- Solution to primal problem
max U(x) subject to n S pixi y i1
Constraint set
- But there's another way at looking at this
x1
9The dual problem
- Alternatively the consumer could aim to
minimise cost...
u
- Subject to utility constraint
Constraint set
- Defines the dual problem.
- Cost minimisation by the firm
minimise n S pixi i1 subject to U(x) ? u
x
- But where have we seen the dual problem before?
10Two types of cost minimisation
- The similarity between the two problems is not
just a curiosity. - We can use it to save ourselves work.
- All the results that we had for the firm's stage
1 problem can be used. - We just need to translate them intelligently
11Overview...
Consumer Optimisation
Primal and Dual problems
Reusing results on optimisation
Lessons from the Firm
Primal and Dual again
12A lesson from the firm
- Compare cost-minimisation for the firm...
- The difference is only in notation
- So their solution functions and response
functions must be the same
Run through formal stuff
13Cost-minimisation strictly quasiconcave U
- Use the objective function
Lagrange multiplier
n S pi xi i1
- ...to build the Lagrangean
lu U(x)
u ? U(x)
- Differentiate w.r.t. x1, ..., xn and set equal
to 0.
- Because of strict quasiconcavity we have an
interior solution.
- Denote cost minimising values with a .
- A set of n1 First-Order Conditions
l U1 (x ) p1 l U2 (x ) p2 l
Un (x ) pn
one for each good
ü ý þ
u U(x )
utility constraint
14If ICs can touch the axes...
n S pixi i1
lu U(x)
- Now there is the possibility of corner solutions.
- A set of n1 First-Order Conditions
lU1 (x) p1 lU2 (x) p2
lUn(x) pn
ü ý þ
Interpretation
Can get lt if optimal value of this good is 0
u U(x)
15From the FOC
- If both goods i and j are purchased and MRS is
defined then...
Ui(x) pi Uj(x) pj
- implicit price market price
- If good i could be zero then...
Ui(x) pi Uj(x) pj
- implicit price market price
Solution
16The solution...
- Solving the FOC, you get a cost-minimising
value for each good...
xi Hi(p, u)
- ...for the Lagrange multiplier
l l(p, u)
- ...and for the minimised value of cost itself.
- The consumers cost function or expenditure
function is defined as
C(p, u) min S pi xi
U(x) ³u
vector of goods prices
Specified utility level
17The cost function has the same properties as for
the firm
- Non-decreasing in every price. Increasing in at
least one price - Increasing in utility u.
- Concave in p
- Homogeneous of degree 1 in all prices p.
- Shephard's lemma.
Jump to Firm
18Other results follow
- Shephard's Lemma gives demand as a function of
prices and utility - Hi(p, u) Ci(p, u)
H is the compensated or conditional demand
function.
- Properties of the solution function determine
behaviour of response functions.
Downward-sloping with respect to its own price,
etc
For example rationing.
- Short-run results can be used to model side
constraints
19Comparing firm and consumer
- Cost-minimisation by the firm...
- ...and expenditure-minimisation by the consumer
- ...are effectively identical problems.
- So the solution and response functions are the
same
Firm
Consumer
n min S pixi x i1
m min S wizi z i1
lu U(x)
lq f (z)
C(p, u)
C(w, q)
xi Hi(p, u)
zi Hi(w, q)
20Overview...
Consumer Optimisation
Primal and Dual problems
Exploiting the two approaches
Lessons from the Firm
Primal and Dual again
21The Primal and the Dual
- Theres an attractive symmetry about the two
approaches to the problem
n S pixi lu U(x) i1
- In both cases the ps are given and you choose
the xs. But
n U(x)
m y S pi xi i1
- constraint in the primal becomes objective in
the dual
22A neat connection
- Compare the primal problem of the consumer...
- So we can link up their solution functions and
response functions
Run through the primal
23Utility maximisation
Lagrange multiplier
- Use the objective function
n y ? S pi xi i1
n m y S pi xi
i1
- ...to build the Lagrangean
U(x)
- Differentiate w.r.t. x1, ..., xn and set equal
to 0.
- If U is strictly quasiconcave we have an
interior solution.
- Denote cost minimising values with a .
- A set of n1 First-Order Conditions
If U not strictly quasiconcave then replace
by ?
U1(x ) m p1 U2(x ) m p2 Un(x
) m pn
one for each good
ü ý þ
Interpretation
budget constraint
n y S pi xi i1
24From the FOC
- If both goods i and j are purchased and MRS is
defined then...
Ui(x) pi Uj(x) pj
- implicit price market price
- If good i could be zero then...
Ui(x) pi Uj(x) pj
- implicit price market price
Solution
25The solution...
- Solving the FOC, you get a cost-minimising
value for each good...
xi Di(p, y)
- ...for the Lagrange multiplier
m m(p, y)
- ...and for the maximised value of utility
itself. - The indirect utility function is defined as
V(p, y) max U(x)
S pixi ?y
vector of goods prices
money income
26A useful connection
- The indirect utility function maps prices and
budget into maximal utility - u V(p, y)
The indirect utility function works like an
"inverse" to the cost function
- The cost function maps prices and utility into
minimal budget - y C(p, u)
The two solution functions have to be consistent
with each other. Two sides of the same coin
- Therefore we have
- u V(p, C(p,u))
- y C(p, V(p, y))
Odd-looking identities like these can be useful
27The Indirect Utility Function has some familiar
properties...
(All of these can be established using the known
properties of the cost function)
- Non-increasing in every price. Decreasing in at
least one price - Increasing in income y.
- quasi-convex in prices p
- Homogeneous of degree zero in (p , y)
- Roy's Identity
But whats this?
28Roy's Identity
V(p, C(p,u))
u V(p, y)
- Use the definition of the optimum
function-of-a-function rule
- Differentiate w.r.t. pi .
0 Vi(p,C(p,u)) Vy(p,C(p,u)) Ci(p,u)
0 Vi(p, y) Vy(p, y) xi
Marginal disutility of price i
Vi(p, y) xi Vy(p, y)
Marginal utility of money income
Ordinary demand function
xi Vi(p, y)/Vy(p, y) Di(p, y)
29Utility and expenditure
- Utility maximisation
- ...and expenditure-minimisation by the consumer
- ...are effectively identical problems.
- So the solution and response functions are the
same
Primal
Dual
n min S pixi x i1
n max U(x) my S pixi x
i1
lu U(x)
C(p, u)
V(p, y)
xi Hi(p, u)
xi Di(p, y)
30Summary
- A lot of the basic results of the consumer theory
can be found without too much hard work. - We need two tricks
- A simple relabelling exercise
- cost minimisation is reinterpreted from output
targets to utility targets. - The primal-dual insight
- utility maximisation subject to budget is
equivalent to cost minimisation subject to
utility.
311. Cost minimisation two applications
- THE FIRM
- min cost of inputs
- subject to output target
- Solution is of the form C(w,q)
- THE CONSUMER
- min budget
- subject to utility target
- Solution is of the form C(p,u)
322. Consumer equivalent approaches
- PRIMAL
- max utility
- subject to budget constraint
- Solution is a function of (p,y)
- DUAL
- min budget
- subject to utility constraint
- Solution is a function of (p,u)
33Basic functional relations
Utility
- C(p,u)
- Hi(p,u)
- V(p, y)
- Di(p, y)
cost (expenditure) Compensated demand for good
i indirect utility ordinary demand for input i
H is also known as "Hicksian" demand.
Review
Review
Review
Review
money income
34What next?
- Examine the response of consumer demand to
changes in prices and incomes. - Household supply of goods to the market.
- Develop the concept of consumer welfare