Cost Minimisation Flashcards
The firm’s profit maximisation problem can be split into 2 parts:
Must operate at lowest cost for any output
Must choose profit maximising quantity
Firm has inputs X₁ X₂, with their factor prices W₁ W₂.
What would the cost minisation expression look like?
Min w₁x₁+w₂x₂
Cost minimisation function expression
C(w₁,w₂,y)
Shows minimum cost of producing output y given factor prices W.
2 components to illustrate this cost minimisation problem
Isocosts and isoquants
Isocosts
Shows all combinations of inputs that have the same given cost (budget constraints essentially)
Isocosts equation
w₁x₁ + w₂x₂ = C
Rearrange to make it suitable in graph form (x₂ on y axis)
x₂ = c/w₂ -w₁/w₂ x₁
So isocosts are straight lines with slope -w₁/w₂.
How to solve cost minimisation algebraically
(Remember final equation)
Lagrange method.
And we will end up with
w₁/w₂ = MP₁/MP₂
Which is factor price ratio (slope of isocost) = TRS (slope of isoquant) , which is the tangency between isocost and isoquant
Fixed proportion for cost minimisation
Recall fixed proportion isoquant:
f(x₁,x₂) = min{x₁,x₂}
Cost minimising way of producing y units is to use y units of each input. (I.e Y labour and Y machines needed)
So:
c(w₁,w₂,y) = (w₁ + w₂)y
LHS just means cost minimisation for y amount of output.
What does perfect substitutes isocost look like graphically (pg 11)
Isocot has to touch the isoquant once at the y or x intercept. (They meet at either these points because its means that only one F.O.P is used to produce the output) (similar to green line in cournot duopoly
So what is the cost function for perfect substitutes
c(w₁,w₂,y) = min {w₁x₁,w₂x₂} = min {w₁,w₂}y
Cost minimisation for Cobb Douglas technology : how do we solve (2 methods)
Min w₁x₁ + w₂x₂ such that
y = x₁ to power a x₂ to power b
- Solve by TRS=Price ratio (which is tangency between isoquant and isocost)
- Solve by lagrangean
Structure should look like this, in order to do F.O.C
L=w₁x₁ + w₂x₂ - λ(x₁ to the a x₂ to the b - y)
method 1: TRS = Price ratio example on slides is simple.
Method 2: lagrane is also a good example work through.
So what were the 3 types of cost minimisation
Fixed proportions
Perfect substitutes
Cobb douglas
Recall short run costs assumption
One factor is fixed (we let X₂ be fixed so Xbar₂) , so a firm can only choose to adjust the quantity of X₁.
Short run cost minimisation expression?
Min w₁x₁ +w₂xbar₂
Such that f(x₁,xbar₂)=y
So w₂Xbar₂ is fixed cost. w₁x₁ is variable cost
What is the fixed and variable cost in this expression
So w₂Xbar₂ is fixed cost. w₁x₁ is variable cost
Short run cost function (hint: factor demand- not that important )
We look for the smallest quantity of x₁ to produce y.
X₁=Xs₁ (w₁,w₂,Xbar₂,y)
Factor demand depends on factor prices, output, and the fixed amount of the other factor
Cs (y,Xbar₂) =w₁xs₁ (w₁,w₂,Xbar₂,y) +w₂Xbar₂
Now move on to cost curves. What assumptions do we make now?
W1 and W2 are fixed, and rewrite cost function as c(y)
Total cost expression
c(y) = cv(y) + F
Cv(y) is variable costs
F is fixed cost.
What happens to AFC as output increases
Falls as spreads across more units.
What happens to AVC as output rises
Could fall initially as more productive, but then diminishing marginal product (gets crowded etc less productive)
Marginal cost formulas (2)
Differentiate cost
Or differentiate variable cost (since fixed cost is a parameter which will disappear when differentiated so essentially it is just differentiating only variable costs!)
- Relationship between VC and MC,
- Relationship between AVC and MC
- relationship between AC and mC
1.Variable cost is the sum of marginal costs of all units.
2 and 3.
If MC>AVC AVC is increasing (since average goes up)
If MC<AVC AVC is falling (since average goes down)
(Same logic for AC)
MC touches through bottom of AVC and AC curve
What happens to costs in long run
All costs are variable in LR so fixed costs dont exist.
How does LRAC curve look
Envelope of SR AC curves
Could correspond to a firm choosing a diff number of factories. We pick the curve (optimal factory size) that produces the desired quantity at the lowest AC. (Pg18)
Relationship between LRAC and SAC
For any level of output we can find an optimal factor size - corresponding to one SAC curve. (As mentioned last card)
Everywhere else on that same SAC curve corresponds to a different level of output, where a different factory size will be chosen, so each SAC curve only touches LAC once.
Can the LRAC join at the lowest point of other SAC curves?
No, it must be at tangency.
Only exception if there is CRS so LRAC would be a straight horizontal line where it touches the lowest points of the SAC’s
Draw short run and long run diagram.