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Why GET? Logistics Consumption: Recap Production: Recap References
Advanced MicroeconomicsGeneral Equilibrium Theory (GET)
Giorgio [email protected]
http://www.lem.sssup.it/fagiolo/Welcome.html
LEM, Sant’Anna School of Advanced Studies, Pisa (Italy)
Introduction to the Module
Why GET? Logistics Consumption: Recap Production: Recap References
How do markets work?
GET: Neoclassical theory of competitive marketsSo far we have talked about one producer, one consumer, severalconsumers (aggregation can be tricky)The properties of consumer and producer behaviors were derived fromsimple optimization problems
Main assumptionConsumers and producers take prices as givenConsumers: prices are exogenously fixedProducers: firms in competitive markets are like atoms and cannot influencemarket prices with their choices (they do not have market power)
Why GET? Logistics Consumption: Recap Production: Recap References
How do markets work?
GET: Neoclassical theory of competitive marketsSo far we have talked about one producer, one consumer, severalconsumers (aggregation can be tricky)The properties of consumer and producer behaviors were derived fromsimple optimization problems
Main assumptionConsumers and producers take prices as givenConsumers: prices are exogenously fixedProducers: firms in competitive markets are like atoms and cannot influencemarket prices with their choices (they do not have market power)
Why GET? Logistics Consumption: Recap Production: Recap References
How do prices emerge?
Simple story: A single marketQuantity produced as a function of price (production theory)Quantity consumed as a function of price (consumer theory)
How to solve for an equilibrium?Under suitable assumptions on the shapes of supply/demand schedules, byequating demand and supply one gets the equilibrium price/quantity pair(p∗, q∗)
Introduction Walrasian model Welfare theorems FOC characterization
Why does demand equal supply?
Simple story
Quantity produced as function of price (producer theory)
Quantity consumed as function of price (consumer theory)
Two equations in two unknowns give a solution
p
q
y(p)p
q
x(p,w)
p
q
y(p)
x(p,w)
q∗
p∗
4 / 94
Why GET? Logistics Consumption: Recap Production: Recap References
How do prices emerge?
Actually, the story is more complicated. . .The economy is composed of many interdependent markets (goods,services, labor, financial, . . . )Individual decisions depend on prices through profits, budget constraints,individual income and wealth, etc.Prices depend on individual choices because in all markets demand shouldequal supplyAre there prices that magically make all these decisions and constraintsmutually compatible and let them to be carried out simultaneously?
A little bit more formally:Prices are a vector pAggregate supply is a vector y(p)Aggregate demand is a vector x(p,w)General equilibrium prices satisfy y(p) = x(p,w)Potentially a very complicated system of equations to solve (given resourceconstraints)GET: Exploring solutions of this system of equations and their properties
Why GET? Logistics Consumption: Recap Production: Recap References
How do prices emerge?
Actually, the story is more complicated. . .The economy is composed of many interdependent markets (goods,services, labor, financial, . . . )Individual decisions depend on prices through profits, budget constraints,individual income and wealth, etc.Prices depend on individual choices because in all markets demand shouldequal supplyAre there prices that magically make all these decisions and constraintsmutually compatible and let them to be carried out simultaneously?
A little bit more formally:Prices are a vector pAggregate supply is a vector y(p)Aggregate demand is a vector x(p,w)General equilibrium prices satisfy y(p) = x(p,w)Potentially a very complicated system of equations to solve (given resourceconstraints)GET: Exploring solutions of this system of equations and their properties
Why GET? Logistics Consumption: Recap Production: Recap References
GET and the “Invisible-Hand” Paradox
The homo oeconomicus “intends only his own gain, and he is in this, as inmany other cases, led by an invisible hand to promote an end which was nopart of his intention [. . . ] By pursuing his own interest he frequently promotesthat of the society more effectually than when he really intends to promoteit”. (Adam Smith, The Wealth of Nations, Book IV, chapter II, paragraph IX).
“One of the major themes of economic theory is that the behaviour of acomplex economic system can be viewed as an equilibrium arising from theinteraction of a number of economic units with different motivations.” (Scarf,1973; p. 1).
“The most intellectually exciting question in our subject remains: is it truethat the pursuit of private interest produces not chaos but coherence, and ifso how is it done?” (Hahn, 1970; p. 1)
“On the surface, at least, modern capitalist economies seem to bechaotic. . . and yet somehow the thing works. There is order — not chaos.(Katzner, 1989; pp. 1, 6–7)”
Why GET? Logistics Consumption: Recap Production: Recap References
GET as a solution of the “Invisible-Hand” paradox?
1 How is it that the economy seems to function smoothly when millions ofdecision-making units operate independently and in their own selfinterest?
2 How do prices emerge?
3 Why is it that certain commodities are produced in certain quantities?
4 What determines the specific distribution of income and final goodsactually realized in the economy?
Why GET? Logistics Consumption: Recap Production: Recap References
GET and the “laissez-faire” view of market functioning
The basic Walrasian conjectureThe laissez faire operation of the price mechanism, in a environment ofderegulated competitive markets where agents are motivated byself-interest, will produce not chaos but a coherence, in the sense of marketclearing, optimal outcomes (Bryant, 2010).
Pre and Post-institutional (market) conceptsSocially-optimal (Pareto efficient) allocation: an allocation (how much anyfirm produces, how much any consumer consumes) where it is impossible tomake some individuals better off without making some other individualworse off (a minimal test without any distributional or equity content)Socially desirable allocation: an allocation that can be the target of a socialplanner who wants to maximize the well-being of all individuals in theeconomyInstitutions: decentralized markets. They operate without the need of anycentral coordination device and deliver equilibrium prices and equilibriumallocations
Why GET? Logistics Consumption: Recap Production: Recap References
GET and the “laissez-faire” view of market functioning
The basic Walrasian conjectureThe laissez faire operation of the price mechanism, in a environment ofderegulated competitive markets where agents are motivated byself-interest, will produce not chaos but a coherence, in the sense of marketclearing, optimal outcomes (Bryant, 2010).
Pre and Post-institutional (market) conceptsSocially-optimal (Pareto efficient) allocation: an allocation (how much anyfirm produces, how much any consumer consumes) where it is impossible tomake some individuals better off without making some other individualworse off (a minimal test without any distributional or equity content)Socially desirable allocation: an allocation that can be the target of a socialplanner who wants to maximize the well-being of all individuals in theeconomyInstitutions: decentralized markets. They operate without the need of anycentral coordination device and deliver equilibrium prices and equilibriumallocations
Why GET? Logistics Consumption: Recap Production: Recap References
Positive vs Normative Qestions
1 Do equilibrium states exist?2 Are they unique? Are they stable?3 Are they socially optimal, i.e. can a socially-optimal state be reached just
by letting the market work?4 Are they socially desirable from the point of view of a social planner
wanting to maximize individual well-being?5 How do equilibrium states respond to variations in the parameters that
define the economy?
Why GET? Logistics Consumption: Recap Production: Recap References
Positive vs Normative Qestions
1 Do equilibrium states exist?2 Are they unique? Are they stable?3 Are they socially optimal, i.e. can a socially-optimal state be reached just
by letting the market work?4 Are they socially desirable from the point of view of a social planner
wanting to maximize individual well-being?5 How do equilibrium states respond to variations in the parameters that
define the economy?
Why GET? Logistics Consumption: Recap Production: Recap References
GET and the Real World
GET is a highly sophisticated mathematical modelGET is “logically entirely disconnected from its interpretation” (Debreu, citedin Kaldor, 1972, p. 1237)GET is the perfect example of the instrumentalist (positive) approach toeconomic theory that informs all neoclassical models“Truly important and significant hypotheses will be found to haveassumptions that are wildly inaccurate descriptive representations of reality,and, in general, the more significant the theory, the more unrealistic theassumptions” (Friedman, Essays in Positive Economics, p. 14).Models must be judged by their predictive capability, not for the realism oftheir assumptionsGoal: find a mathematical model of competitive market behavior such thatsharp implications can follow from a minimal set of assumptions onprimitives and agent behaviors
Assumptions as free goodsExample: Does an equilibrium state in the GE model exist?Yes, provided that a long series of (relatively stringent) mathematicalassumptions on preferences, technologies, etc. are satisfiedDo these assumptions have an economic meaning? Are these assumptionsrealistic? Are they verified in reality?Perhaps yes, but after all who cares...?
Why GET? Logistics Consumption: Recap Production: Recap References
GET and the Real World
GET is a highly sophisticated mathematical modelGET is “logically entirely disconnected from its interpretation” (Debreu, citedin Kaldor, 1972, p. 1237)GET is the perfect example of the instrumentalist (positive) approach toeconomic theory that informs all neoclassical models“Truly important and significant hypotheses will be found to haveassumptions that are wildly inaccurate descriptive representations of reality,and, in general, the more significant the theory, the more unrealistic theassumptions” (Friedman, Essays in Positive Economics, p. 14).Models must be judged by their predictive capability, not for the realism oftheir assumptionsGoal: find a mathematical model of competitive market behavior such thatsharp implications can follow from a minimal set of assumptions onprimitives and agent behaviors
Assumptions as free goodsExample: Does an equilibrium state in the GE model exist?Yes, provided that a long series of (relatively stringent) mathematicalassumptions on preferences, technologies, etc. are satisfiedDo these assumptions have an economic meaning? Are these assumptionsrealistic? Are they verified in reality?Perhaps yes, but after all who cares...?
Why GET? Logistics Consumption: Recap Production: Recap References
Oversimplifying Assumptions in GE Models
IndividualsBoth consumers and producers are fully-rational, maximizing individualswithout computational boundsBoth consumers and producers know the model of the world and act underperfect information about pricesConsumer utilities do not depend on what other consumers and producersdoFirm profits do not depend on what other firms and consumers do
Commodities and MarketsMarkets are complete (there exists a market for every commodity)Commodities are homogeneous and contingent (on time, states of nature,etc.)All the action takes place simultaneously (no explicit time in the model)
Why such oversimplifying assumptions?Model must remain analytically tractable (closed-form solutions)Look for assumptions that allow for mathematical tractability
Why GET? Logistics Consumption: Recap Production: Recap References
Oversimplifying Assumptions in GE Models
IndividualsBoth consumers and producers are fully-rational, maximizing individualswithout computational boundsBoth consumers and producers know the model of the world and act underperfect information about pricesConsumer utilities do not depend on what other consumers and producersdoFirm profits do not depend on what other firms and consumers do
Commodities and MarketsMarkets are complete (there exists a market for every commodity)Commodities are homogeneous and contingent (on time, states of nature,etc.)All the action takes place simultaneously (no explicit time in the model)
Why such oversimplifying assumptions?Model must remain analytically tractable (closed-form solutions)Look for assumptions that allow for mathematical tractability
Why GET? Logistics Consumption: Recap Production: Recap References
Oversimplifying Assumptions in GE Models
IndividualsBoth consumers and producers are fully-rational, maximizing individualswithout computational boundsBoth consumers and producers know the model of the world and act underperfect information about pricesConsumer utilities do not depend on what other consumers and producersdoFirm profits do not depend on what other firms and consumers do
Commodities and MarketsMarkets are complete (there exists a market for every commodity)Commodities are homogeneous and contingent (on time, states of nature,etc.)All the action takes place simultaneously (no explicit time in the model)
Why such oversimplifying assumptions?Model must remain analytically tractable (closed-form solutions)Look for assumptions that allow for mathematical tractability
Why GET? Logistics Consumption: Recap Production: Recap References
GET: Applications, Empirics, and Policy
Economic applications of GETGET is “the” theory of competitive market behaviorGET is extremely generic and can be applied to study almost any issueswhere a GE setup is relevant (unemployment, international trade, financialmarkets, etc.)GET provides the underlying micro-structure for micro-foundedmacroeconomic models studying the business cycle, growth, etc.
Empirical validation of GETDo GE models give a satisfactorily account of actual economic data?At best very mixed evidence: empirically-testable implications rather limited(see last part of the course)
GET and policyGET tells us that all equilibria are socially optimalA very optimistic view about the ability of markets to allow for sociallydesirable states without any external interventionGET is currently used within DSGE models by central banks to decide theirpolicies
Why GET? Logistics Consumption: Recap Production: Recap References
GET: Applications, Empirics, and Policy
Economic applications of GETGET is “the” theory of competitive market behaviorGET is extremely generic and can be applied to study almost any issueswhere a GE setup is relevant (unemployment, international trade, financialmarkets, etc.)GET provides the underlying micro-structure for micro-foundedmacroeconomic models studying the business cycle, growth, etc.
Empirical validation of GETDo GE models give a satisfactorily account of actual economic data?At best very mixed evidence: empirically-testable implications rather limited(see last part of the course)
GET and policyGET tells us that all equilibria are socially optimalA very optimistic view about the ability of markets to allow for sociallydesirable states without any external interventionGET is currently used within DSGE models by central banks to decide theirpolicies
Why GET? Logistics Consumption: Recap Production: Recap References
GET: Applications, Empirics, and Policy
Economic applications of GETGET is “the” theory of competitive market behaviorGET is extremely generic and can be applied to study almost any issueswhere a GE setup is relevant (unemployment, international trade, financialmarkets, etc.)GET provides the underlying micro-structure for micro-foundedmacroeconomic models studying the business cycle, growth, etc.
Empirical validation of GETDo GE models give a satisfactorily account of actual economic data?At best very mixed evidence: empirically-testable implications rather limited(see last part of the course)
GET and policyGET tells us that all equilibria are socially optimalA very optimistic view about the ability of markets to allow for sociallydesirable states without any external interventionGET is currently used within DSGE models by central banks to decide theirpolicies
Why GET? Logistics Consumption: Recap Production: Recap References
Outline
1 IntroductionConsumer and producer theory: recapThe GET model: concepts and definitionsPareto efficiency, social welfare, Walrasian equilibrium
2 Partial Equilibrium AnalysisFocus on a simple model with only one relevant commodityEquilibrium and efficiency: welfare theorems
3 Pure-Exchange ModelFocus on a more complicated (but still simple) model where there are nofirms (no production) and consumers exchange their endowmentsExistence and efficiency
4 GE with ProductionFull-fledged model with firms and consumersSimple example with 1 producer/ 1 consumerOverview of the main results about existence, efficiency and welfareUniqueness, stability, empirical testing
Why GET? Logistics Consumption: Recap Production: Recap References
Outline
1 IntroductionConsumer and producer theory: recapThe GET model: concepts and definitionsPareto efficiency, social welfare, Walrasian equilibrium
2 Partial Equilibrium AnalysisFocus on a simple model with only one relevant commodityEquilibrium and efficiency: welfare theorems
3 Pure-Exchange ModelFocus on a more complicated (but still simple) model where there are nofirms (no production) and consumers exchange their endowmentsExistence and efficiency
4 GE with ProductionFull-fledged model with firms and consumersSimple example with 1 producer/ 1 consumerOverview of the main results about existence, efficiency and welfareUniqueness, stability, empirical testing
Why GET? Logistics Consumption: Recap Production: Recap References
Outline
1 IntroductionConsumer and producer theory: recapThe GET model: concepts and definitionsPareto efficiency, social welfare, Walrasian equilibrium
2 Partial Equilibrium AnalysisFocus on a simple model with only one relevant commodityEquilibrium and efficiency: welfare theorems
3 Pure-Exchange ModelFocus on a more complicated (but still simple) model where there are nofirms (no production) and consumers exchange their endowmentsExistence and efficiency
4 GE with ProductionFull-fledged model with firms and consumersSimple example with 1 producer/ 1 consumerOverview of the main results about existence, efficiency and welfareUniqueness, stability, empirical testing
Why GET? Logistics Consumption: Recap Production: Recap References
Outline
1 IntroductionConsumer and producer theory: recapThe GET model: concepts and definitionsPareto efficiency, social welfare, Walrasian equilibrium
2 Partial Equilibrium AnalysisFocus on a simple model with only one relevant commodityEquilibrium and efficiency: welfare theorems
3 Pure-Exchange ModelFocus on a more complicated (but still simple) model where there are nofirms (no production) and consumers exchange their endowmentsExistence and efficiency
4 GE with ProductionFull-fledged model with firms and consumersSimple example with 1 producer/ 1 consumerOverview of the main results about existence, efficiency and welfareUniqueness, stability, empirical testing
Why GET? Logistics Consumption: Recap Production: Recap References
Logistics
Lectures and Co.14 lectures (1h30 each)Slides: http://www.lem.sssup.it/fagiolo/Teaching.htmlOffice hours: lecture days, after 16:00
TextbooksMain reference: Mas-Colell, Whinston, and Green (1995), MicroeconomicTheory, Oxford University PressRelevant chapters: Compulsory: 10,15,16; Optional: 17Other useful books:
Jehle and Reny (2000), Advanced Microeconomic Theory, Addison Wesley, 2ndedition (3rd edition also available, 2010)Hildenbrand and Kirman (1988), Equilibrium analysis: Variations on themes byEdgeworth and Walras, North-HollandIngrao and Israel (1991), The Invisible Hand, Economic Equilibrium in the Historyof Science, MIT PressKreps (1990), A Course in Microeconomic Theory, Harvester WheatsheafVarian (1984), Microeconomic Analysis, Norton
Exercises and ExamNo exercise sessions. Examples will be discussed in classGET exam (closed-books): mostly theory questions
Why GET? Logistics Consumption: Recap Production: Recap References
Logistics
Lectures and Co.14 lectures (1h30 each)Slides: http://www.lem.sssup.it/fagiolo/Teaching.htmlOffice hours: lecture days, after 16:00
TextbooksMain reference: Mas-Colell, Whinston, and Green (1995), MicroeconomicTheory, Oxford University PressRelevant chapters: Compulsory: 10,15,16; Optional: 17Other useful books:
Jehle and Reny (2000), Advanced Microeconomic Theory, Addison Wesley, 2ndedition (3rd edition also available, 2010)Hildenbrand and Kirman (1988), Equilibrium analysis: Variations on themes byEdgeworth and Walras, North-HollandIngrao and Israel (1991), The Invisible Hand, Economic Equilibrium in the Historyof Science, MIT PressKreps (1990), A Course in Microeconomic Theory, Harvester WheatsheafVarian (1984), Microeconomic Analysis, Norton
Exercises and ExamNo exercise sessions. Examples will be discussed in classGET exam (closed-books): mostly theory questions
Why GET? Logistics Consumption: Recap Production: Recap References
Logistics
Lectures and Co.14 lectures (1h30 each)Slides: http://www.lem.sssup.it/fagiolo/Teaching.htmlOffice hours: lecture days, after 16:00
TextbooksMain reference: Mas-Colell, Whinston, and Green (1995), MicroeconomicTheory, Oxford University PressRelevant chapters: Compulsory: 10,15,16; Optional: 17Other useful books:
Jehle and Reny (2000), Advanced Microeconomic Theory, Addison Wesley, 2ndedition (3rd edition also available, 2010)Hildenbrand and Kirman (1988), Equilibrium analysis: Variations on themes byEdgeworth and Walras, North-HollandIngrao and Israel (1991), The Invisible Hand, Economic Equilibrium in the Historyof Science, MIT PressKreps (1990), A Course in Microeconomic Theory, Harvester WheatsheafVarian (1984), Microeconomic Analysis, Norton
Exercises and ExamNo exercise sessions. Examples will be discussed in classGET exam (closed-books): mostly theory questions
Why GET? Logistics Consumption: Recap Production: Recap References
Classical Demand Theory: Notation
n commodities
Price vector (exogenous): p ∈ Rn++
Consumer wealth level: w ∈ R++
Consumption set: X = Rn+
Consumer utility function (continuous): u : X → R
Why GET? Logistics Consumption: Recap Production: Recap References
Classical Demand Theory: Notation
n commodities
Price vector (exogenous): p ∈ Rn++
Consumer wealth level: w ∈ R++
Consumption set: X = Rn+
Consumer utility function (continuous): u : X → R
Why GET? Logistics Consumption: Recap Production: Recap References
Classical Demand Theory: Notation
n commodities
Price vector (exogenous): p ∈ Rn++
Consumer wealth level: w ∈ R++
Consumption set: X = Rn+
Consumer utility function (continuous): u : X → R
Why GET? Logistics Consumption: Recap Production: Recap References
Classical Demand Theory: Notation
n commodities
Price vector (exogenous): p ∈ Rn++
Consumer wealth level: w ∈ R++
Consumption set: X = Rn+
Consumer utility function (continuous): u : X → R
Why GET? Logistics Consumption: Recap Production: Recap References
Classical Demand Theory: Notation
n commodities
Price vector (exogenous): p ∈ Rn++
Consumer wealth level: w ∈ R++
Consumption set: X = Rn+
Consumer utility function (continuous): u : X → R
Why GET? Logistics Consumption: Recap Production: Recap References
The Consumer Problem(s)
Introduction Welfare Price indices Aggregation Optimal tax
Recap: The consumer problems
Utility Maximization Problem
maxx∈Rn
+
u(x) such that p · x ≤ w .
Choice correspondence: Marshallian demand x(p,w)
Value function: indirect utility function v(p,w)
Expenditure Minimization Problem
minx∈Rn
+
p · x such that u(x) ≥ u.
Choice correspondence: Hicksian demand h(p, u)
Value function: expenditure function e(p, u)
52 / 89
Why GET? Logistics Consumption: Recap Production: Recap References
Marshallian Demand: Properties
If u is continuous and represents locally non-satiated preferences, thenx(p,w)
1 is homogeneous of degree zero (no money illusion):x(λp, λw) = x(p,w) for any λ > 0
2 is a convex set if u is quasi-concave (preferences are convex)3 consists of a single element if u is strictly quasi-concave (preferences
are strictly convex), i.e. it is a function and not a correspondence4 satisfies Walras’ Law: p · x(p,w) = w , i.e. consumer spends all its
income in the optimal choice
Why GET? Logistics Consumption: Recap Production: Recap References
Marshallian Demand: Correspondence or Function?
Introduction Utility maximization Expenditure minimization Wealth and substitution
Illustrating the Utility Maximization Problem
5 / 89
Why GET? Logistics Consumption: Recap Production: Recap References
Marshallian Demand: Walras’ LawIntroduction Utility maximization Expenditure minimization Wealth and substitution
Implications of restrictions on preferences: non-satiation II
Proof.
Suppose that p · x < w for somex ∈ x(p,w). Then there existssome x � sufficiently close to xwith x � � x and p · x � < w ,which contradicts the fact thatx ∈ x(p,w). Thus p · x = w .
16 / 89
Why GET? Logistics Consumption: Recap Production: Recap References
Utility Maximization: Solution
Introduction Utility maximization Expenditure minimization Wealth and substitution
Solving for Marshallian demand I
Suppose the utility function is differentiable
This is an ungrounded assumption
However, differentiability can not be falsified by any finitedata set
Also, utility functions are robust to monotone transformations
We may be able to use Kuhn-Tucker to “solve” the UMP:
Utility Maximization Problem
maxx∈Rn
+
u(x) such that p · x ≤ w
gives the Lagrangian
L(x ,λ, µ, p,w) ≡ u(x) + λ(w − p · x) + µ · x .
17 / 89FO (necessary) conditions for interior solution x∗ � 0: ∇u(x∗) = λp,λ ≥ 0
FOCs are sufficient if the problem is convex, i.e. constraint set is convex(OK) and objective function is concave (convexity of UCS, i.e.quasi-concavity of u is not sufficient)
Why GET? Logistics Consumption: Recap Production: Recap References
The Expenditure Minimization Problem
Why do we need another problem?We would like to characterize ’important’ properties of Marshallian demandx(p,w)Example: Consider a price increase for one good (apples)Substitution effect: Apples are now relatively more expensive than bananas,so I buy fewer applesWealth effect: I feel poorer, so I buy (more? fewer?) applesWealth and substitution effects could go in opposite directions: we can’teasily sign the change in consumptionThis is hard to do it because in the UMP parameters enter feasible set ratherthan objective
Why GET? Logistics Consumption: Recap Production: Recap References
The Expenditure Minimization Problem
Why do we need another problem?We would like to characterize ’important’ properties of Marshallian demandx(p,w)Example: Consider a price increase for one good (apples)Substitution effect: Apples are now relatively more expensive than bananas,so I buy fewer applesWealth effect: I feel poorer, so I buy (more? fewer?) applesWealth and substitution effects could go in opposite directions: we can’teasily sign the change in consumptionThis is hard to do it because in the UMP parameters enter feasible set ratherthan objective
Introduction Utility maximization Expenditure minimization Wealth and substitution
Isolating the substitution effect
We can isolate the substitution effect by “compensating” theconsumer so that her maximized utility does not change
If maximized utility doesn’t change, the consumer can’t feel richeror poorer; demand changes can therefore be attributed entirely tothe substitution effect
Expenditure Minimization Problem
minx∈Rn
+
p · x such that u(x) ≥ u.
i.e., find the cheapest bundle at prices p that yield utility at least u
30 / 89
Why GET? Logistics Consumption: Recap Production: Recap References
The Expenditure Minimization Problem
Introduction Utility maximization Expenditure minimization Wealth and substitution
Illustrating the Expenditure Minimization Problem
31 / 89
Why GET? Logistics Consumption: Recap Production: Recap References
Relations Between the Two Problems
Introduction Welfare Price indices Aggregation Optimal tax
Recap: The consumer problems
Utility Maximization Problem
maxx∈Rn
+
u(x) such that p · x ≤ w .
Choice correspondence: Marshallian demand x(p,w)
Value function: indirect utility function v(p,w)
Expenditure Minimization Problem
minx∈Rn
+
p · x such that u(x) ≥ u.
Choice correspondence: Hicksian demand h(p, u)
Value function: expenditure function e(p, u)
52 / 89
Introduction Utility maximization Expenditure minimization Wealth and substitution
Relating Hicksian and Marshallian demand I
Theorem (“Same problem” identities)
Suppose u(·) is a utility function representing a continuous andlocally non-satiated preference relation � on Rn
+. Then for anyp � 0 and w ≥ 0,
1 h�p, v(p,w)
�= x(p,w),
2 e�p, v(p,w)
�= w;
and for any u ≥ u(0),
3 x�p, e(p, u)
�= h(p, u), and
4 v�p, e(p, u)
�= u.
For proofs see notes (cumbersome but relatively straightforward)
34 / 89
Why GET? Logistics Consumption: Recap Production: Recap References
Wealth and Substitution I
What about Marshallian-demand response to changes inown price?
Introduction Utility maximization Expenditure minimization Wealth and substitution
The Slutsky equation II
Setting i = j , we can decompose the effect of an an increase in pi
∂xi (p,w)
∂pi=
∂hi
�p, u(x(p,w))
�
∂pi− ∂xi (p,w)
∂wxi (p,w)
An “own-price” increase. . .1 Encourages consumer to substitute away from good i
∂hi
∂pi≤ 0 by negative semidefiniteness of Slutsky matrix
2 Makes consumer poorer, which affects consumption of good iin some indeterminate way
Sign of ∂xi
∂w depends on preferences
43 / 89
Why GET? Logistics Consumption: Recap Production: Recap References
Wealth and Substitution IIIntroduction Utility maximization Expenditure minimization Wealth and substitution
Marshallian response to changes in wealth
Definition (Normal good)
Good i is a normal good if xi (p,w) is increasing in w .
Definition (Inferior good)
Good i is an inferior good if xi (p,w) is decreasing in w .
45 / 89
Why GET? Logistics Consumption: Recap Production: Recap References
Wealth and Substitution III
Engel curves show how Marshallian demand moves with wealth (locusof {x , x ′, x ′′, } in the figure below)
In the cases depicted below both goods are “normal” (both x1 and x2
increase in w)
Introduction Utility maximization Expenditure minimization Wealth and substitution
Graphing Marshallian response to changes in wealth
Engle curves show how Marshallian demand moves withwealth (locus of {x , x �, x ��, . . . } below)
In this example, both goods are normal (xi increases in w)
✻
✲
x
x ��
x �
46 / 89
Why GET? Logistics Consumption: Recap Production: Recap References
Aggregation
Aggregate demand: a suitably defined sum of all demands arising fromindividual demands of consumers in the economy
Aggregation can be trickyIndividual (Marshallian) demand can be expressed as a function ofcommodity prices and individual wealth. When can aggregate demand beexpressed as a function of commodity prices and aggregate wealth?It depends on the form of utility functions: homotetic or quasilinearpreferences do the trick
Quasilinear preferencesConsider an economy with n = 2 commodities. Quasilinear preferencesresult in utilities of the form:
u(x ,m) = φ(x) + m
where x ≥ 0 is the consumption of commodity 1 and m ∈ R is consumptionof commodity 2, φ′ > 0, φ′′ < 0, and φ(0) = 0.Commodity 1 is a consumption good, while commodity 2 can be defined as’everything else’, i.e. money left apart by the consumer for purchasing allother goods, after having made the optimal choice for commodity 1. Thelatter can be referred to as the ’consumption good’, while commodity 2 is the’numeraire’ or ’money’.
Why GET? Logistics Consumption: Recap Production: Recap References
Aggregation
Aggregate demand: a suitably defined sum of all demands arising fromindividual demands of consumers in the economy
Aggregation can be trickyIndividual (Marshallian) demand can be expressed as a function ofcommodity prices and individual wealth. When can aggregate demand beexpressed as a function of commodity prices and aggregate wealth?It depends on the form of utility functions: homotetic or quasilinearpreferences do the trick
Quasilinear preferencesConsider an economy with n = 2 commodities. Quasilinear preferencesresult in utilities of the form:
u(x ,m) = φ(x) + m
where x ≥ 0 is the consumption of commodity 1 and m ∈ R is consumptionof commodity 2, φ′ > 0, φ′′ < 0, and φ(0) = 0.Commodity 1 is a consumption good, while commodity 2 can be defined as’everything else’, i.e. money left apart by the consumer for purchasing allother goods, after having made the optimal choice for commodity 1. Thelatter can be referred to as the ’consumption good’, while commodity 2 is the’numeraire’ or ’money’.
Why GET? Logistics Consumption: Recap Production: Recap References
Aggregation
Aggregate demand: a suitably defined sum of all demands arising fromindividual demands of consumers in the economy
Aggregation can be trickyIndividual (Marshallian) demand can be expressed as a function ofcommodity prices and individual wealth. When can aggregate demand beexpressed as a function of commodity prices and aggregate wealth?It depends on the form of utility functions: homotetic or quasilinearpreferences do the trick
Quasilinear preferencesConsider an economy with n = 2 commodities. Quasilinear preferencesresult in utilities of the form:
u(x ,m) = φ(x) + m
where x ≥ 0 is the consumption of commodity 1 and m ∈ R is consumptionof commodity 2, φ′ > 0, φ′′ < 0, and φ(0) = 0.Commodity 1 is a consumption good, while commodity 2 can be defined as’everything else’, i.e. money left apart by the consumer for purchasing allother goods, after having made the optimal choice for commodity 1. Thelatter can be referred to as the ’consumption good’, while commodity 2 is the’numeraire’ or ’money’.
Why GET? Logistics Consumption: Recap Production: Recap References
Production Theory: Notation
n commodities
Price vector (exogenous): p ∈ Rn++
Netput vector (production plan): y ∈ Rn
Production set: Y ⊆ Rn (non-empty and closed, satisfying properties ofshut-down, free-disposal and (strict) convexity)
f : Rm+ → R+ production function for 1-output technology (m = n − 1)
q = f (z) is the efficient production level given input levels z ∈ Rm+
Input prices: w ∈ Rm++
Output/input prices: p = (p,w) ∈ R++ × Rm++
Netput vector for 1-output technology: y = (q,−z) ∈ R+ × Rm+
Why GET? Logistics Consumption: Recap Production: Recap References
Production Theory: Notation
n commodities
Price vector (exogenous): p ∈ Rn++
Netput vector (production plan): y ∈ Rn
Production set: Y ⊆ Rn (non-empty and closed, satisfying properties ofshut-down, free-disposal and (strict) convexity)
f : Rm+ → R+ production function for 1-output technology (m = n − 1)
q = f (z) is the efficient production level given input levels z ∈ Rm+
Input prices: w ∈ Rm++
Output/input prices: p = (p,w) ∈ R++ × Rm++
Netput vector for 1-output technology: y = (q,−z) ∈ R+ × Rm+
Why GET? Logistics Consumption: Recap Production: Recap References
Production Theory: Notation
n commodities
Price vector (exogenous): p ∈ Rn++
Netput vector (production plan): y ∈ Rn
Production set: Y ⊆ Rn (non-empty and closed, satisfying properties ofshut-down, free-disposal and (strict) convexity)
f : Rm+ → R+ production function for 1-output technology (m = n − 1)
q = f (z) is the efficient production level given input levels z ∈ Rm+
Input prices: w ∈ Rm++
Output/input prices: p = (p,w) ∈ R++ × Rm++
Netput vector for 1-output technology: y = (q,−z) ∈ R+ × Rm+
Why GET? Logistics Consumption: Recap Production: Recap References
Production Theory: Notation
n commodities
Price vector (exogenous): p ∈ Rn++
Netput vector (production plan): y ∈ Rn
Production set: Y ⊆ Rn (non-empty and closed, satisfying properties ofshut-down, free-disposal and (strict) convexity)
f : Rm+ → R+ production function for 1-output technology (m = n − 1)
q = f (z) is the efficient production level given input levels z ∈ Rm+
Input prices: w ∈ Rm++
Output/input prices: p = (p,w) ∈ R++ × Rm++
Netput vector for 1-output technology: y = (q,−z) ∈ R+ × Rm+
Why GET? Logistics Consumption: Recap Production: Recap References
Production Theory: Notation
n commodities
Price vector (exogenous): p ∈ Rn++
Netput vector (production plan): y ∈ Rn
Production set: Y ⊆ Rn (non-empty and closed, satisfying properties ofshut-down, free-disposal and (strict) convexity)
f : Rm+ → R+ production function for 1-output technology (m = n − 1)
q = f (z) is the efficient production level given input levels z ∈ Rm+
Input prices: w ∈ Rm++
Output/input prices: p = (p,w) ∈ R++ × Rm++
Netput vector for 1-output technology: y = (q,−z) ∈ R+ × Rm+
Why GET? Logistics Consumption: Recap Production: Recap References
Production Theory: Notation
n commodities
Price vector (exogenous): p ∈ Rn++
Netput vector (production plan): y ∈ Rn
Production set: Y ⊆ Rn (non-empty and closed, satisfying properties ofshut-down, free-disposal and (strict) convexity)
f : Rm+ → R+ production function for 1-output technology (m = n − 1)
q = f (z) is the efficient production level given input levels z ∈ Rm+
Input prices: w ∈ Rm++
Output/input prices: p = (p,w) ∈ R++ × Rm++
Netput vector for 1-output technology: y = (q,−z) ∈ R+ × Rm+
Why GET? Logistics Consumption: Recap Production: Recap References
Production Theory: Notation
n commodities
Price vector (exogenous): p ∈ Rn++
Netput vector (production plan): y ∈ Rn
Production set: Y ⊆ Rn (non-empty and closed, satisfying properties ofshut-down, free-disposal and (strict) convexity)
f : Rm+ → R+ production function for 1-output technology (m = n − 1)
q = f (z) is the efficient production level given input levels z ∈ Rm+
Input prices: w ∈ Rm++
Output/input prices: p = (p,w) ∈ R++ × Rm++
Netput vector for 1-output technology: y = (q,−z) ∈ R+ × Rm+
Why GET? Logistics Consumption: Recap Production: Recap References
Production Theory: Notation
n commodities
Price vector (exogenous): p ∈ Rn++
Netput vector (production plan): y ∈ Rn
Production set: Y ⊆ Rn (non-empty and closed, satisfying properties ofshut-down, free-disposal and (strict) convexity)
f : Rm+ → R+ production function for 1-output technology (m = n − 1)
q = f (z) is the efficient production level given input levels z ∈ Rm+
Input prices: w ∈ Rm++
Output/input prices: p = (p,w) ∈ R++ × Rm++
Netput vector for 1-output technology: y = (q,−z) ∈ R+ × Rm+
Why GET? Logistics Consumption: Recap Production: Recap References
Production Theory: Notation
n commodities
Price vector (exogenous): p ∈ Rn++
Netput vector (production plan): y ∈ Rn
Production set: Y ⊆ Rn (non-empty and closed, satisfying properties ofshut-down, free-disposal and (strict) convexity)
f : Rm+ → R+ production function for 1-output technology (m = n − 1)
q = f (z) is the efficient production level given input levels z ∈ Rm+
Input prices: w ∈ Rm++
Output/input prices: p = (p,w) ∈ R++ × Rm++
Netput vector for 1-output technology: y = (q,−z) ∈ R+ × Rm+
Why GET? Logistics Consumption: Recap Production: Recap References
Firm Optimal Pruduction
Introduction Production sets Profit maximization Rationalizability Differentiable case Single-output firms
The Profit Maximization Problem
The firm’s optimal production decisions are given bycorrespondence y : Rn ⇒ Rn
y(p) ≡ argmaxy∈Y
p · y
=�y ∈ Y : p · y = π(p)
�
Resulting profits are given by profit function π : Rn → R ∪ {+∞}
π(p) ≡ supy∈Y
p · y
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Choice correspondence: Netput y(p)Value function: Profit π(p) = p · y(p)Properties:
π(p) is convex and homogeneous of degree 1y(p) is homogeneous of degree 0
Why GET? Logistics Consumption: Recap Production: Recap References
Single-Output Technology
Introduction Production sets Profit maximization Rationalizability Differentiable case Single-output firms
Characterizing Y : Production function I
Definition (production function)
For a firm with only a single output q (and inputs −z), defined asf (z) ≡ max q such that (q,−z) ∈ Y .
Y =�(q,−z) : q ≤ f (z)
�, assuming free disposal
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Introduction Production sets Profit maximization Rationalizability Differentiable case Single-output firms
Dividing up the problem I
With one output, free disposal, and production function f (·),
Y =�(q,−z) : z ∈ Rm
+ and f (z) ≥ q�
Given a positive output price p > 0, profit maximization requiresq = f (z), so firms solve
π(p,w) = supz∈Rm
+
pf (z)� �� �revenue
−w · z����cost
z(p,w) = argmaxz∈Rm
+
pf (z) − w · z
55 / 86
Why GET? Logistics Consumption: Recap Production: Recap References
Single-Output Technology
Introduction Production sets Profit maximization Rationalizability Differentiable case Single-output firms
Characterizing Y : Production function I
Definition (production function)
For a firm with only a single output q (and inputs −z), defined asf (z) ≡ max q such that (q,−z) ∈ Y .
Y =�(q,−z) : q ≤ f (z)
�, assuming free disposal
53 / 86
Introduction Production sets Profit maximization Rationalizability Differentiable case Single-output firms
Dividing up the problem I
With one output, free disposal, and production function f (·),
Y =�(q,−z) : z ∈ Rm
+ and f (z) ≥ q�
Given a positive output price p > 0, profit maximization requiresq = f (z), so firms solve
π(p,w) = supz∈Rm
+
pf (z)� �� �revenue
−w · z����cost
z(p,w) = argmaxz∈Rm
+
pf (z) − w · z
55 / 86
Why GET? Logistics Consumption: Recap Production: Recap References
Single-Output TechnologyIntroduction Production sets Profit maximization Rationalizability Differentiable case Single-output firms
Dividing up the problem II
We separate the profit maximization problem into two parts:1 Find a cost-minimizing way to produce a given output level q
Cost functionc(q,w) ≡ inf
z : f (z)≥qw · z
Conditional factor demand correspondence
Z∗(q,w) ≡ argminz : f (z)≥q
w · z
=�z : f (z) ≥ q and w · z = c(q,w)
�
2 Find an output level that maximizes difference betweenrevenue and cost
maxq≥0
pq − c(q,w)
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Why GET? Logistics Consumption: Recap Production: Recap References
Optimal-Output ProblemIntroduction Production sets Profit maximization Rationalizability Differentiable case Single-output firms
First-order conditions: Optimal Output Problem
Optimal output problem
maxq≥0
pq − c(q,w).
L(q, p,w , µ) ≡ pq − c(q,w) + µq
Applying Kuhn-Tucker here gives
p ≤ ∂c(q∗,w)
∂qwith equality if q∗ > 0
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Why GET? Logistics Consumption: Recap Production: Recap References
Supply Schedule I: Strictly Convex Technology
Why GET? Logistics Consumption: Recap Production: Recap References
Supply Schedule II: CRTS Technology
Why GET? Logistics Consumption: Recap Production: Recap References
Supply Schedule III: Non-Convex Technology
Why GET? Logistics Consumption: Recap Production: Recap References
Supply Schedule IV: Strictly-Convex VC + Non-Sunk Setup Cost
Why GET? Logistics Consumption: Recap Production: Recap References
Supply Schedule V: CRTS VC + Non-Sunk Setup Cost
Why GET? Logistics Consumption: Recap Production: Recap References
Books and papers cited in these slides. . .
Arrow, K.J. and Hahn, F. H. (1972), General competitive analysis,Holden-Day.
Friedman, M. (1953). Essays in Positive Economics, Chicago Press.
Bryant, W. D. A. (2010), General Equilibrium: Theory and Evidence,World Scientific.
Kaldor , N. (1972), The Irrelevance of Equilibrium Economics, TheEconomic Journal, Vol. 82, No. 328. (Dec., 1972), pp. 1237-1255.
Katzner, D.W. (1989), The Walrasian vision of the microeconomy: anelementary exposition, University of Michigan Press.
Scarf, H. (1973), The computation of economic equilibria, Yale UniversityPress, available at http://cowles.econ.yale.edu/P/cm/m24/
Smith, A. (1904), An Inquiry into the Nature and Causes of the Wealth ofNations, London: Methuen and Co., Ltd., ed. Edwin Cannan, 1904. Fifthedition.