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TRANSCRIPT
The objectives of the producer
Laurent Simula
October 19, 2017
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 1 / 47
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLYDr Laurent Simula (Institute) The objectives of the producer October 19, 2017 2 / 47
Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 2 / 47
Minimizing Costs
A firm does not always aim at maximizing profits. Yet, whatever itsfinal objective, a rational producer must minimize the productioncosts.
Given the chosen output level, what is the input combinationfor which the production cost is minimum?
The time dimension is important when answering this question.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 3 / 47
Variable and Constrained Inputs
Two kinds of inputs:
variables inputs: the amount used by the firm can be varied at willby the firm.
constrained inputs: at least period of time to vary the amount ofconstrained inputs used by the firm.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 4 / 47
Short Run and Long Run
In the short run, the firm usually employs a combination of variableand constrained inputs.
Example of labour and capital.Implication: the firm can only fully decide about the amounts ofvariable inputs it uses whilst the amounts of constrained inputs arefixed or subject to availability constraints.
In the long run, all inputs are variables.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 5 / 47
Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 6 / 47
Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 7 / 47
Long-Run Cost Minimization
A firm
Two variable inputs, labelled 1 and 2. Prices: p1 and p2.Exogenously given. Used in quantities z1 and z2.
Objective: producing q units of output and minimize production cost.
Problem (Long-Run Cost Minimization)
Choose the input combination (z1, z2) , to produce output q, whichminimizes the production cost p1z1 + p2z2.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 8 / 47
Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 9 / 47
Graphical Solution
Production function f (z1, z2) . Isoquant of level q:ISq :=
{(z1, z2) ∈ R2
+ : f (z1, z2) = q}
. f twice continuouslydifferentiable. Decreasing marginal products for input 1 and input 2.
Isocost curve of level c :
C :={(z1, z2) ∈ R2
+ : p1z1 + p2z2 = c}
.
Here, isocost curves are isocost lines. Equation in (z1, z2)-space:z2 = C
p2− p1
p2z1.
Infinity of isocosts lines, with cost c ranging from 0 to infinity.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 10 / 47
ftbpFU4.2903in2.693in0ptLong-run cost minimization. Thecost-minimizing input combination is obtained at the tangency pointbetween the isoquant of level q (q is exogenously given) and the lowestindifference curve (here C1).Figure1Figure
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 11 / 47
Cost-Minimizing Input Combination
Theorem
Costs are minimized at the input combination (z∗1 , z∗2 ) which satisfies
MRTS12 (z∗1 , z∗2 ) =
p1p2
. (1)
(z∗1 , z∗2 ): functions of p1, p2 and q.
We denote them by z∗1 (p1, p2, q) and z∗2 (p1, p2, q) .
Called conditional input demands.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 12 / 47
Alternative Characterization
By definition
MRTS12 (z1, z2) =∂f (z1, z2) /∂z1∂f (z1, z2) /∂z2
.
Hence, at the optimum,
∂f (z∗1 , z∗2 ) /∂z1∂f (z∗1 , z∗2 ) /∂z2
=p1p2⇐⇒ ∂f (z∗1 , z∗2 ) /∂z1
p1=
∂f (z∗1 , z∗2 ) /∂z2p2
.
Interpretation. In the cost-minimizing input combination, the
”marginal products in value”∂f (z1,z2)/∂z1
p1and
∂f (z1,z2)/∂z2p2
are equal.Why?
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 13 / 47
Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 14 / 47
Lagrange Method
Body Math
Problem
minz1≥0,z2≥0 p1z1 + p2z2 such that. f (z1, z2) = q.
Lagrangian:L = p1z1 + p2z2 + λ [f (z1, z2)− q] .
Necessary conditions:
∂L
∂z1= p1 + λ
∂f (z1, z2)
∂z1= 0, (2)
∂L
∂z2= p2 + λ
∂f (z1, z2)
∂z2= 0. (3)
Using (2) and (3):
∂f (z1, z2) /∂z1p1
=∂f (z1, z2) /∂z2
p2.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 15 / 47
Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 16 / 47
Changing input prices
If both inputs’ prices change in the same proportion. No effecton the choice of the cost-minimizing input combination because theslope of the isocost lines, −p1/p2, is not modified.
Impact of increasing the price of an input (or of both inputsbut in different proportions), all other things being equal.Illustration with increase in p1 and decrease in p2.
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ftbpFU4.3336in2.7069in0ptImpact of a Change in InputPricesFigure3Figure
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 18 / 47
Changing output level
ftbpFU3.403in2.4768in0ptImpact of a Variation in the Output Level q onthe Cost-Minimizing Input Combinations.Figure2Figure
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 19 / 47
Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 20 / 47
Cost Function
Definition (Long-Run Cost Function)
The long-run cost function of the firm is defined has
C (p1, p2, q) = p1z∗1 + p2z
∗2 .
Under the condition that all inputs are variables. It is clear that:
∂C (p1, p2, q)
∂p1> 0,
∂C (p1, p2, q)
∂p2> 0,
∂C (p1, p2, q)
∂q> 0.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 21 / 47
ftbpFU3.5206in3.4878in0ptLong-run Cost Functions: Total Cost, AverageCost, Marginal CostFigure4Figure
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 22 / 47
Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 23 / 47
Short-Run Cost Minimization
Two inputs, 1 and 2, with prices p1 and p2, used in quantities z1 andz2, to produce q units of output (q is given).
Input 1 is a variable input.
Input 2 is a constrained input.
The constraint on input 2 may take a variety of forms.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 24 / 47
Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 25 / 47
Constrained Input: Indivisible Input
The firm may be constrained to use exactly a predetermined amountof input z2, denoted z2.
Problem
Choose the input combination (z1, z2) to produce output q whichminimizes the production cost p1z1 + p2z2 subject to the constraintz2 = z2.
the only control variable is z1.
Impossible to use less of input 2 than z2. ⇒ input 2 is said to be”indivisible”.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 26 / 47
Constrained Inputs: Fixed Ceiling
When the constrained inputs are divisible, it is always possible for the firmto use less of them. Let z2 be a fixed ceiling on the amount of input 2currently available.
Problem
Choose the input combination (z1, z2) to produce output q whichminimizes the production cost p1z1 + p2z2 subject to the constraintz2 ≤ z2.
In this minimization problem the production cost is equal top1z1 + p2z2.
If there is a ceiling on the units of input 2 available to the firm,the firm only pays the units of inputs 1 and 2 it actually uses.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 27 / 47
Constrained Inputs: Fixed Cost
Assume input 2 is divisible and the firm
has already contracted to pay p2z2 to use input 2;
already owns z2 units of input 2 but caanot sell z2 − z2 in the shortrun if it wants to use z2 < z2.
In both cases, the production cost is p1z1 + p2z2.
Problem
Choose the input combination (z1, z2) to produce output q whichminimizes the production cost p1z1 + p2z2 subject to the constraintz2 ≤ z2.
The existence of a fixed input gives rise to a fixed cost because thefirm must pay p2z2 for input 2 even if it uses z2 ≤ z2 in theproduction process.
The fixed cost is equal to p2z2.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 28 / 47
Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 29 / 47
ftbpFU2.4863in3.0208in0ptCeilingFigure7Figure
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ftbpFU4.0776in2.4708in0ptFixed CostFigure8Figure
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 31 / 47
Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 32 / 47
The Final Objective of the Firm
Up to now, we did not discuss the objective of the firm.
We now address the issue of the determination of the output level.
Most standard objective considered in the economic literature: theproducer aims at maximizing its profits.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 33 / 47
Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 34 / 47
Long-Run Profit Maximization
Firm’s decision problem: plan an output and input combination tomaximize profits.
Long-run: all inputs are variable.
For convenience: two inputs, 1 and 2, with prices p1 and p2. Ouputproduced in quantity y and sold at price p (p exogenously given; idea:”small” firm).
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 35 / 47
Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 36 / 47
Two Formulations of the Firm’s Decision Problem
Problem (Profits Maximization)
Chose an output level y ∈ R+ to maximize the firm’s profits
π := py − C (p1, p2, y) .
Problem (Profits Maximization)
Chose a production plan (y , z1, z2) ∈ R3+ to maximize the firm’s profits
π := py −2
∑i=1
pizi
subject to the technology constraint
y ≤ f (z1, z2) .
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 37 / 47
Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 38 / 47
Firm’s Optimum Using the First Formulation
Necessary condition for an interior maximum:
∂π
∂y= p − ∂C (p1, p2, y)
∂y= 0⇔ p =
∂C (p1, p2, y)
∂y. (4)
Theorem
When the output level is chosen optimally, the cost of producing an extraunit of output is equal to its price.
This condition may not be sufficient.y > 0 satisfying (4) may be a minimum or an inflection point.To ensure that y is a (local) maximum, we must check that the firm’sprofit function is locally concave. This is the case when
d2π
dy2= −∂C2 (p1, p2, y)
∂y2< 0⇔ ∂C ′ (p1, p2, y)
∂y> 0. (5)
This condition is a ”second-order condition for a maximum”. Here,in an interior maximum, the marginal cost curve is strictlyincreasing.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 39 / 47
ftbpFU2.904in3.1894in0ptLong-run profit maximizationFigure5Figure
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Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 41 / 47
Long-Run Supply Function
ftbpFU4.0343in2.0332in0ptConstruction of the Firm’s Supply Function(Pink Curve with a discontinuity at pmin shown by the dashedpart)Figure6Figure
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 42 / 47
Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 43 / 47
Short-Run Profit Maximization
z2 is a constrained input while z1 is a variable input.
Analysis is very similar to that developed for the Long-run profitmaximization.
The difference comes from the fact that the short-run (total) costfunction is used instead of the long-run (total) cost function. LetS (p1, p2, z2, y) be the short-run (total) cost of producing y units ofinputs given input prices p1 and p2 given the short-term availabilityconstraint on input 2.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 44 / 47
Short-Run Profit Maximization: Optimum
Firm’s problem: choose y to maximize profitsπ := py − S (p1, p2, z2, y) .
If y ∗ > 0 is the optimum, then the following necessary condition for amaximum must be satisfied:
∂π
∂y= 0⇔ p =
∂S (p1, p2, z2, y)
∂y. (6)
Theorem
When the output level is chosen optimally, the cost of producing an extraunit of output in the short run is equal to its price.
As previously noted, a second-order condition must be checked aswell. At the optimum output level, the short term marginal cosgtmust be increasing.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 45 / 47
Outline
1 MINIMIZING COSTSLong-Run Cost Minimization
The Firm’s Decision ProblemGraphical SolutionLagrange MethodComparative Statics of the Cost-Minimizing SolutionCost Functions
Short-run cost minimizationConstraint on input 2 and cost minimizationSolution
2 MAXIMIZING PROFITSLong-run Profit Maximization
The Firm’s Decision ProblemThe Firm’s Optimum Production PlanLong-Run Supply Function
Short-Run Profit Maximization
3 CONCLUSION: THE MARKET SUPPLY
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 46 / 47
Market supply function. Assume I firms produce a same output:given an output price equal to p, firm i produces yi (p) units of output(i = 1, ...I ). If we call Y (p) the market supply at price p , we have:
Y (p) :=I
∑i=1
yi (p) .
We have already constructed the demand function of the market,using the theory of the consumer. If there are N consumers withindividual demand functions x1 (p) , ..., xN (p), then the marketdemand is:
D (p) =N
∑i=1
xi (p) .
Up to now, the output price p is exogenously given. But, given aprice p, we know what is the demand and the supply. The nextchapter examines how the output price p is determined.
Dr Laurent Simula (Institute) The objectives of the producer October 19, 2017 47 / 47