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Advanced Microeconomic Analysis, Lecture 3
Prof. Ronaldo CARPIO
March 20, 2017
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Homework #1
▸ Homework #1 is due next week.
▸ For next week, please read Chapter 2.1 (Duality: A CloserLook) and continue to Chapter 3. We will not cover the otherparts of Chapter 2.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Review of Last Lecture
▸ The consumer problem is to solve
maxxxx
u(xxx) subject to ppp ⋅ xxx ≤ y
▸ The maximizer to this problem (assuming it exists and issingle-valued), xxx∗(ppp, y), is the Marshallian demand function.
▸ The indirect utility function, or value function, is the maximizedvalue of u(xxx) subject to prices ppp and income y :
v(ppp, y) = maxxxxu(xxx) s.t. ppp ⋅ xxx ≤ y
▸ v(ppp, y) = u(xxx∗(ppp, y))
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Review of Last Lecture
▸ Properties of indirect utility:
▸ Continuous▸ Homogeneous of degree zero in (ppp, y)▸ Strictly increasing in y▸ Decreasing in ppp▸ Quasiconvex in (ppp, y)▸ Roy’s identity:
xi(ppp0, y0) = −∂v∂pi(ppp0, y0)
∂v∂y(ppp0, y0)
for i = 1...n
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Example: Cobb-Douglas utility
▸ Consider the utility function u(x1, x2) = xα1 x1−α2 .
▸ This is a very common utility function in economics, calledCobb-Douglas utility.
▸ Let’s find the Marshallian demand function xxx(p1,p2, y) and indirectutility function v(p1,p2, y).
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
▸ The consumer problem is:
maxx1,x2
xα1 x1−α2 subject to p1x1 + p2x2 − y = 0
▸ Form the Lagrangian:
L(x1, x2, λ) = xα1 x1−α2 − λ(p1x1 + p2x2 − y)
▸ First-order conditions:
∂L
∂x1= αxα−11 x1−α2 − λp1 = 0
∂L
∂x2= (1 − α)xα1 x−α2 − λp2 = 0
∂L
∂λ= p1x1 + p2x2 − y = 0
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
▸ The MRS = price ratio condition:
αx2(1 − α)x1
= p1p2
⇒ p1x1 =α
1 − αp2x2
▸ Plug into the budget equation p1x1 + p2x2 = y to get:
α
1 − αp2x2 + p2x2 = y
( α
1 − α + 1)p2x2 =1
1 − αp2x2 = y
x∗2 =(1 − α) yp2, x∗1 = α y
p1
▸ Note that p1x1 = αy and p2x2 = (1 − α)y .
▸ The exponent of each good, α and 1 − α, determine the fraction ofincome allocated to each good.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
▸ The indirect utility function is:
v(p1,p2, y) = u(x∗1 , x∗2 )
= (α y
p1)α
((1 − α) yp2)1−α
= ( αp1)α
(1 − αp2)1−α
y
▸ We can verify that this is homogeneous of degree zero in p1,p2, y .
▸ Let’s check Roy’s identity:
−∂v∂pi(ppp0, y0)
∂v∂y(ppp0, y0)
= −−αααp−α−11 ( 1−α
p2)1−α
y
( αp1)α( 1−α
p2)1−α
= α y
p1
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
A Non-Differentiable Utility Function
▸ Consider the utility function u(x1, x2) = min(x1, x2). This is calledLeontief utility.
▸ It is non-differentiable, so we cannot use the Lagrangian method tosolve the utility maximization problem.
▸ If x1 ≤ x2,u(x1, x2) = x1
▸ If x2 ≤ x1,u(x1, x2) = x2
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
A Non-Differentiable Utility Function
▸ We want to find the indifference curves: the set of all (x1, x2) thatgive the same utility.
▸ Suppose utility is at level u∗.
▸ If x1 ≤ x2, x1 = u∗, x2 can take any value satisfying x1 ≤ x2▸ If x2 ≤ x1, x2 = u∗, x1 can take any value satisfying x2 ≤ x1
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
▸ If x1 ≤ x2, x1 = u∗, x2 can take any value satisfying x1 ≤ x2
▸ If x2 ≤ x1, x2 = u∗, x1 can take any value satisfying x2 ≤ x1
▸ Is this function quasiconcave?
▸ Strictly quasiconcave?
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Consumer Problem with Leontief Utility
▸ No matter what the prices p1,p2 are, the optimal choice will satisfyx1 = x2.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Consumer Problem with Leontief Utility
▸ No matter what the prices p1,p2 are, the optimal choice will satisfyx1 = x2.
▸ Plug into budget equation p1x1 + p2x2 = y , giving
x1(p1,p2, y) =y
p1 + p2, x2(p1,p2, y) =
y
p1 + p2
▸ Indirect utility: plug the Marshallian demand function into theutility function:
v(p1,p2, y) = min( y
p1 + p2,
y
p1 + p2) = y
p1 + p2
▸ We can verify the properties of an indirect utility function (exceptRoy’s Identity) apply.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Expenditure Function
▸ The expenditure function is the minimum amount of expenditurenecessary to achieve a given utility level u at prices ppp:
e(ppp,u) = minxxx
ppp ⋅ xxx s.t. u(xxx) ≥ u
▸ If preferences are strictly monotonic, then the constraint will besatisfied with equality
▸ Denote the solution to the expenditure minimization problem as:
xxxh(ppp,u) = arg minxxx
ppp ⋅ xxx s.t. u(xxx) ≥ u
▸ This is called the Hicksian demand function or compensateddemand.
▸ It shows the effect of a change in prices on demand, while holdingutility constant.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Properties of Expenditure Function
▸ If u(⋅) is continuous and strictly increasing, then e(ppp,u) is:
▸ Zero when u is at the lowest possible level▸ Continuous▸ For all strictly positive ppp, it is strictly increasing and
unbounded above in u▸ Increasing in ppp▸ Homogeneous of degree 1 in ppp▸ Concave in ppp▸ If u(⋅) is strictly quasiconcave, then it satisfies Shephard’s
lemma:
∂e(ppp0,u0)∂pi
= xhi (ppp0,u0) for i = 1...n
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Example: CES Utility
▸ Suppose direct utility is u(x1, x2) = (xρ1 + xρ2 )
1ρ ,0 ≠ ρ < 1.
▸ Let’s derive the expenditure function:
minx1,x2
p1x1 + p2x2 s.t. (xρ1 + xρ2 )
1ρ − u = 0
▸ Form the Lagrangian:
L(x1, x2, λ) = p1x1 + p2x2 − λ((xρ1 + xρ2 )
1ρ − u)
▸ First-order conditions:
∂L
∂x1= p1 − λ(xρ1 + x
ρ2 )
1ρ−1xρ−11 = 0
∂L
∂x2= p2 − λ(xρ1 + x
ρ2 )
1ρ−1xρ−12 = 0
∂L
∂λ= (xρ1 + x
ρ2 )
1ρ − u = 0
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Example: CES Utility
∂L
∂x1= p1 − λ(xρ1 + x
ρ2 )
1ρ−1xρ−11 = 0
∂L
∂x2= p2 − λ(xρ1 + x
ρ2 )
1ρ−1xρ−12 = 0
∂L
∂λ= (xρ1 + x
ρ2 )
1ρ − u = 0
▸ Solving for x1, x2, we get the Hicksian demands (r = ρρ−1):
xh1 (ppp,u) = u(pr1 + pr2)1r −1pr−11
xh2 (ppp,u) = u(pr1 + pr2)1r −1pr−12
▸ Plug back into objective function ppp ⋅ xxx :
e(ppp,u) = u(pr1 + pr2)1r
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Indirect Utility and Expenditure Function
▸ Suppose we fix (ppp, y) and let u = v(ppp, y). By definition, this is thehighest possible utility that can be attained given (ppp, y).
▸ Obviously, utility u can be attained given income y .
▸ By definition, e(ppp,u) is the smallest possible expenditure needed toattain u. Therefore:
e(ppp, v(ppp, y)) ≤ y
▸ Likewise, if we fix (ppp,u), let y = e(ppp,u), then expenditure y isattainable given target utility level u.
v(ppp, e(ppp,u)) ≥ u
▸ These will be equalities if u(⋅) is continuous and strictly increasing.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Indirect Utility and Expenditure Function
▸ Theorem 1.8: Let v(ppp, y) and e(ppp,u) be the indirect utility functionand expenditure function for a utility function that is continuousand strictly increasing. Then for all strictly positive ppp, y ≥ 0, andutility level u:
e(ppp, v(ppp, y)) = y
v(ppp, e(ppp,u)) = u
▸ This allows us to derive one from the other.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Indirect Utility and Expenditure Function
▸ Suppose v(ppp, y) is an indirect utility function for continuous, strictlyincreasing u(⋅).
▸ v(ppp, y) is strictly increasing in y , therefore it can be inverted to geta function that takes utility level u and gives an expenditure y :
v−1(ppp ∶ t) = y s.t. v(ppp, y) = t
▸ Apply this to both sides of v(ppp, e(ppp, y)) = u:
e(ppp,u) = v−1(ppp ∶ u)
▸ Similarly, e(ppp,u) is strictly increasing in u. Invert it to obtain:
e−1(ppp ∶ t) = u s.t. e(ppp,u) = t
▸ Applying to both sides of e(ppp, v(ppp, y)) = y :
v(ppp, y) = e−1(ppp ∶ y)
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Example: CES Utility
▸ From before, we know that the indirect function for CES utility is:
v(ppp, y) = y(pr1 + pr2)−1r
▸ Suppose income is equal to e(ppp,u). Then
v(ppp, e(ppp,u)) = e(ppp,u)(pr1 + pr2)−1r
▸ Using v(ppp, e(ppp,u)) = u, we get:
e(ppp,u)(pr1 + pr2)−1r = u⇒
e(ppp,u) = u(pr1 + pr2)1r
▸ which is the same as what we solved for directly last time.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Example: CES Utility
▸ Suppose we start with expenditure function instead.
e(ppp,u) = u(pr1 + pr2)1r ⇒
e(ppp, v(ppp, y)) = v(ppp, y)(pr1 + pr2)1r
▸ Using e(ppp, v(ppp, y)) = y :
v(ppp, y) = y(pr1 + pr2)−1r
▸ which is the same as before.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Relationship between Marshallian and Hicksian demand
▸ There is also a relationship between the solutions to these problems.
▸ Marshallian demand is the solution to the utility-maximizationproblem.
▸ Hicksian demand is the solution to the expenditure-minimizationproblem.
▸ Theorem 1.9: Assuming u(⋅) is continuous, strictly increasing, andstrictly quasiconcave, then for strictly positive ppp, y ≥ 0, and allutility levels u:
xi(ppp, y) = xhi (ppp, v(ppp, y)), xyi (ppp, y) = xi(ppp, e(ppp,u))
▸ Marshallian demand at (ppp, y) is equal to Hicksian demand at ppp andthe maximum possible utility achievable at (ppp, y).
▸ Hicksian demand at ppp, utility level u is equal to Marshallian demandat ppp and income equal to minimum expenditure necessary toachieve u.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Relationship between Marshallian and Hicksian demand
▸ Proof:
▸ Strict quasiconcavity of u(⋅) ensures the solution to eachproblem is unique.
▸ Let xxx0 = xxx(ppp0, y0) be the solution to the utility maximizationproblem, giving utility u0 = u(xxx0)
▸ Then p0 ⋅ x0 = y0 (budget constraint is satisfied with equality,due to strict monotonicity)
e(ppp0, v(ppp0, y0)) = e(ppp,u0) = y
▸ Therefore, xxx0 is also a solution to the expenditureminimization problem:
xxx0 = xxxh(ppp0,u0)
xxx(ppp0, y0) = xxxh(ppp0, v(ppp0, y0))
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Example: CES Utility
▸ For CES utility, the Hicksian demand function is:
xhi (ppp,u) = u(pr1 + pr2)1r −1pr−1i , for i = 1,2
▸ Indirect utility function is:
v(ppp, y) = y(pr1 + pr2)−1r
hhi (ppp, v(ppp, y)) = v(ppp, y)(pr1 + pr2)1r −1pr−1i
= y(pr1 + pr2)−1r (pr1 + pr2)
1r −1pr−1i
= ypr−1i
pr1 + pr2▸ which is the same as the Marshallian demand we solved for before.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Properties of Consumer Demand (1.5)
▸ If preferences are as we have assumed and consumers do in factchoose by maximizing utility, this predicts that demand shouldsatisfy certain properties.
▸ We can use these properties to empirically test whether observedbehavior is consistent with some utility function or with optimizingbehavior.
▸ Or, if we believe that optimizing behavior is taking place, we canuse these relationships to restrict the values of parameters of theutility maximization problem.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Relative Prices and Real Income
▸ The relative price of good i to good j is simply pi/pj .▸ Real income is the maximum amount of a good that can be bought
with income y , so it is y/pj .▸ Utility maximization predicts that only relative prices and real
income affects behavior (i.e. the amount of goods demanded).
▸ We can see this from the property that Marshallian demand ishomogeneous of degree zero in (ppp, y).
▸ If we multiply both ppp and y by the same amount, demand isunchanged.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Homogeneity and Budget Balancedness
▸ Theorem 1.10: If u(⋅) is strictly increasing and strictlyquasiconcave, then the Marshallian demand function xi(ppp, y) ishomogeneous of degree zero in ppp, y , and it satisfies budgetbalancedness: ppp ⋅ xxx(ppp, y) for all (ppp, y).
▸ Homogeneity of demand is implied by homogeneity of the valuefunction.
▸ Budget balancedness comes from the strictly increasing assumption;the budget constraint is always satisfied with equality.
▸ We can choose a good n and call it the numeraire, to serve as”money”. All prices will be relative to the price of the numerairegood, pn.
xxx(ppp, y) = xxx( ppppn,y
pn)
▸ Demand only depends on n − 1 relative prices and real income.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Income and Substitution Effects
▸ We would like to know the effect on demand of a change in prices.
▸ Does a decrease in the price of good i result in an increase indemand for good i? Not necessarily.
▸ We decompose the total effect of a change in price, into thesubstitution effect and income effect.
▸ The substitution effect is the change in demand due to substitutingthe relatively cheaper good for the relatively more expensive ones.
▸ The income effect is the change due to the increase in total buyingpower of the consumer.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Income and Substitution Effects
▸ Suppose the original price is p01 ,p02 , resulting in demand x01 , x
02 with
utility u0.
▸ Price of good 1 falls to p11 . Consumption of good 1 increases to x11 ,good 2 falls to x12 .
▸ First, hypothetically allow price to fall to p11 while keeping utilityconstant at u0.
▸ This is the substitution effect.
▸ Then, increase income while keeping relative prices the same. Thisis the income effect.
▸ We can express this mathematically using the Slutsky equation.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Slutsky Equation
▸ Theorem 1.11: Let xxx(ppp, y) be Marshallian demand, achieving utilitylevel u∗ at (ppp, y). Then:
∂xi(ppp, y)∂pj
= ∂xhi (ppp,u∗)∂pj
− xj(ppp, y)∂xi(ppp, y)
∂yfor i = 1...n
▸∂xi(ppp,y)∂pj
is the total effect of a price change in good j on demand for
good i .
▸∂xh
i (ppp,u∗)
∂pjis the substitution effect.
▸ xj(ppp, y)∂xi(ppp,y)∂yis the income effect.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Proof of Slutsky Equation
xhi (ppp,u∗) = xi(ppp, e(ppp,u∗))
▸ Differentiate both sides with respect to pj .
▸ Left-hand side:∂xhi (ppp,u∗)
∂pj
▸ Right-hand side (use chain rule):
xi(ppp, e(ppp,u∗)∂pj
+ ∂xi(ppp, e(ppp,u∗))
∂y
∂e(ppp,u∗)∂pj
▸ Substitute u∗ = v(ppp, y) and e(ppp,u∗) = e(ppp, v(ppp, y)) = y into thefirst term.
▸ For the second term, use
∂e(ppp,u∗)∂pj
= xhj (ppp,u∗) = xhj (ppp, v(ppp, y)) = xj(ppp, y)
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Proof of Slutsky Equation
∂xhi (ppp,u∗)∂pj
= ∂xi(ppp, y)∂pj
+ ∂xi(ppp, y)∂y
xj(ppp, y)
▸ Rearrange to get Slutsky equation.
▸ This decomposes any total price effect into substitution and incomeeffects.
▸ However, the substitution effect may be unobservable, since wedon’t actually see utility levels.
▸ We can still deduce some properties of Hicksian demand.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Negative Own-Substitution Terms
▸ Theorem 1.12: Let xhi (ppp,u) be Hicksian demand for good i . Then
∂xhi (ppp,u)∂pi
≤ 0
▸ That is, Hicksian demand curves always slope downwards. If theprice of good i increases, then Hicksian demand always decreases.
▸ This follows from the concavity of the expenditure function:
∂2e(ppp,u)∂p2i
= ∂xhi (ppp,u)∂pi
▸ Second derivatives of a concave function must be non-positive.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Law of Demand
▸ A normal good is a good for which consumption increases as incomeincreases.
▸ An inferior good is a good for which consumption decreases asincome increases.
▸ A decrease in the price of a normal good will cause demand toincrease.
▸ If an own-price decrease causes a decrease in demand, a good mustbe inferior. (The converse is not guaranteed).
∂xi(ppp, y)∂pj
= ∂xhi (ppp,u∗)∂pj
− xj(ppp, y)∂xi(ppp, y)
∂y
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Elasticity Relations
▸ The income elasticity of demand for good i is the percentagechange in xi per 1% change in income:
ηi =∂xi(ppp, y)
∂y
y
xi(ppp, y)
▸ The price elasticity of demand for good i with respect to the priceof good j is the percentage change in xi per 1% change in the priceof good j :
εij =∂xi(ppp, y)∂pj
pj
xi(ppp, y)
▸ The income share of good i is the fraction of total income that isspent on good i :
si =pixi(ppp, y)
y, si ≥ 0,
n
∑i=1
si = 1
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Aggregation in Consumer Demand
▸ Theorem 1.17: Let xxx(ppp, y) be Marshallian demand. The followingrelations must hold:
▸ Engel aggregation:n
∑i=1
siηi = 1
▸ Cournot aggregation:
n
∑i=1
siεij = −sj for j = 1...n
▸ These impose conditions that must be satisfied before and after anyprice change.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
▸ Exercise 1.44: In a two-good case, if one good is inferior, the othergood must be normal.
▸ Note that an inferior good has a positive income elasticity, while anormal good has a negative elasticity.
ηi =∂xi(ppp, y)
∂y
y
xi(ppp, y)
▸ Using the Engel aggregation condition: ∑ni=1 siηi = 1
▸ si , the share of income spent on good i , is always positive.
▸ If η1 < 0, then η2 > 0, in order to satisfy the condition s1η1 + s2η2 = 1.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Chapter 2.1: Duality
▸ Consider any function of prices and utility E(ppp,u) that may or maynot be an expenditure function.
▸ Suppose E satisfies the properties of an expenditure function:
▸ Continuity, strictly increasing, unbounded above in u
▸ Increasing, homogeneous of degree 1, concave, and differentiable inppp.
▸ We can show that it is, in fact, an expenditure function for someutility function.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Constructing the Utility Function
▸ Choose some (ppp0,u0), evaluate E(ppp0,u0) at that point.
▸ Construct the closed half-space in the consumption set:
A(ppp0,u0) = {xxx ∣ppp0 ⋅ xxx ≥ E(ppp0,u0)}
▸ A(ppp0,u0) is a closed, convex set containing all points on or abovethe hyperplane defind by ppp0 ⋅ xxx = E(ppp0,u0).
▸ Repeat the process for all prices strictly positive prices ppp, and takethe intersection of all the half-spaces:
A(u0) = ⋂ppp>>0
A(ppp,u0) = {xxx ∣ppp ⋅ xxx ≥ E(ppp,u0) for all ppp >> 0}
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
▸ As the number of half-spaces increases, their intersection becomes aconvex set with a smooth boundary.
▸ This set A(u0) = ⋂ppp>>0A(ppp,u0) is an upper level set for somequasiconcave function.
▸ It turns out that this is a valid utility function.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Constructing the Utility Function
▸ Theorem 2.1: Let E ∶ Rn++×R+ → R+ satisfy the properties of an
expenditure function. Then the function u generated by
u(xxx) = max{u ≥ 0∣xxx ∈ A(u)}
▸ is increasing, unbounded above, and quasiconcave.
▸ Theorem 2.2: The Expenditure Function of u is E :
▸ Let E(ppp,u) satisfy the properties of an expenditure function, and letu(xxx be derived as above. Then for all non-negative prices and utility,
E(ppp,u) = minxxx
ppp ⋅ xxx s.t. u(xxx) ≥ u
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Utility Maximization and Expenditure Minimization
▸ There are two equivalent ways of characterizing consumer demand.
▸ One is to start with the direct utility function and derive Marshalliandemand.
▸ Or, we can start with an expenditure function and use inversion anddifferentiation to derive demand.
▸ One way may be analytically simpler than the other, or may beempirically easier to observe.
▸ For example, we cannot directly observe utilities, but we canobserve prices and expenditures.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3
Homework #1
▸ Homework #1 is due next week.
▸ For next week, please read Chapter 2.1 (Duality: A CloserLook) and continue to Chapter 3. We will not cover the otherparts of Chapter 2.
Prof. Ronaldo CARPIO Advanced Microeconomic Analysis, Lecture 3