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The Firm: Demand The Firm: Demand

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The Firm: Demand - PPT Presentation

and Supply MICROECONOMICS Principles and Analysis Frank Cowell Almost essential Firm Optimisation Prerequisites October 2015 1 Moving on from the optimum We derive the firms reactions to changes in its environment ID: 260008

input demand october price demand input price october 2015 function output conditional supply cost response firm effect run problem curve short function

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Slide1

The Firm: Demand and Supply

MICROECONOMICSPrinciples and Analysis Frank Cowell

Almost essential Firm: Optimisation

Prerequisites

April 2018

1Slide2

Moving on from the optimum…

We derive the firm's reactions to changes in its environment

These are the response functionsWe will examine three types of themResponses to different types of market events In effect we treat the firm as a black box

market

prices

the firm

output level;

input demands

April 2018

2Slide3

The firm as a “black box”

Behaviour can be predicted by necessary and sufficient conditions for optimumThe FOC can be solved to yield behavioural response functionsTheir properties derive from the solution functionwe need the solution function’s propertiesapply them again and again

April 2018

3Slide4

Overview

April 2018

4

Conditional

Input Demand

Output

Supply

Ordinary

Input Demand

Short-run problem

Firm: Comparative Statics

Response function for stage 1 optimisation Slide5

The first response function

m

S

wi

zi subject to

q

f

(

z

),

z ≥ 0

i = 1Review

the cost-minimisation problem and its solutionChoose z to minimise

Cost-minimising value for each input:

zi* = Hi

(w,

q

),

i

=

1,2,…,

m

The firm’s cost function

:

C

(

w

,

q

) := min

S

w

i

z

i

vector of

input prices

Specified output level

{

f

(

z

)

³

q

}

H

i

:

conditional

input demand function Demand for input i, conditional on given output level q

The “stage 1” problem

The solution function

could be a well-defined function or a correspondence

A graphical approach

April 2018

5Slide6

Mapping into (

z

1

,w1)-space

z1

z

2

z

1

w

1

Left-hand panel: conventional

case of

Z

the slope of the

tangent:

value of

w

1

Repeat for a lower value of

w

1

…and again to get…

Green curve:

conditional demand curve

H

1

(

w

,

q

)

Constraint set is convex, with smooth boundary

Response function is a continuous map:

Now try a different case

April 2018

6Slide7

Another map into (

z

1

,w1)-space

z

1

z

2

z

1

w

1

Left-hand panel:

nonconvex

Z

Start with a high value of

w

1

Repeat for a very low value of

w

1

Points “nearby” `work the same way

But what happens in between?

A

demand correspondence

Constraint set is nonconvex

Response

is

discontinuous

:

jumps in

z*

Map

multivalued

at

discontinuity

Multiple inputs at this price

no price yields

a solution here

April 2018

7Slide8

Conditional input demand function

Assume that single-valued input-demand functions exist How are they related to the cost function C? What are their properties?How are their properties related to those of C

?tip if you’re not sure about the cost function:check the presentation “Firm Optimisation”revise the five main properties of the function C

April 2018

8Slide9

Use the cost function

Yes, it's Shephard's

lemma

Recall this relationship?Ci (w

, q) =

z

i

*

So we have:

C

i

(w, q) = Hi(w

, q) Link between conditional input demand and cost functions

Differentiate this with respect to wj

Cij (w,

q) = H

j

i

(

w

,

q

)

conditional input demand function

Second derivative

Slope of input conditional demand function: effect of

D

w

j

on

z

i

*

for given

q

The slope:

C

(

w

,

q

)

————

w

i

Optimal demand for input

i

Two simple results:

April 2018

9Slide10

Simple result 1

Use a standard property

¶ 2()

¶2(

)

——— = ———

w

i

¶w

j ¶wj ¶wi

second derivatives of a function “commute”

So in this caseC

ij (w, q) =

Cji

(

w

,

q

)

The order of differentiation is irrelevant

Therefore we have:

H

j

i

(

w

,

q

) =

H

i

j

(

w

,

q

)

The effect of the price of input

i

on conditional demand for input j equals the effect of the price of input j on conditional demand for input

i

April 2018

10Slide11

Simple result 2

Use the standard relationship:

Cij (

w, q) = H

ji(

w

,

q

)

Slope of conditional input demand function derived from second derivative of cost function

We can get the special case:

C

ii (w, q

) = Hii(w, q)

We've just put j =

i

Because cost function is concave:C

ii

(

w

,

q

)

 0

A general property

Therefore:

H

i

i

(

w

,

q

)

 0

The relationship of conditional demand for an input with its own price cannot be positive

and so…

April 2018

11Slide12

Conditional input demand curve

H

1

(w,q)

z

1

w

1

Consider the demand for input 1

Consequence of result 2?

H

1

1

(

w

,

q

) < 0

“Downward-sloping” conditional demand

In some cases it is

possible

that

H

i

i

= 0

Corresponds to

case where isoquant is kinked: multiple

w

values consistent with same

z

*

April 2018

12Slide13

Conditional demand function: summary

Nonconvex Z yields discontinuous HCross-price effects are symmetricOwn-price demand slopes downward (exceptional case: own-price demand could be constant)

April 2018

13Slide14

Overview

April 2018

14

Conditional

Input Demand

Output

Supply

Ordinary

Input Demand

Short-run problem

Firm: Comparative Statics

Response function for stage 2 optimisationSlide15

The second response function

April 2018

15

From the FOC:

p

=

C

q

(

w, q*

), if q* > 0pq* ³

C(w, q*)

“Price equals marginal cost”“Price covers average cost”

Review the profit-maximisation problem and its solutionChoose q

to maximise:

pq

C

(

w

,

q

)

The “stage 2” problem

q

*

= S

(

w

,

p

)

S

is the

supply

function

(again it

may

be a correspondence)

input prices

output price

profit-maximising value for output:Slide16

Supply of output and output price

Use the FOC:

Cq

(w, q

*) = p

“marginal cost equals price”

Use the supply function for

q

:

C

q

(w, S

(w, p) ) = pGives an equation in w and p

Differentiate with respect to

p Cqq

(w,

S

(

w

,

p

) )

S

p

(

w

,

p

) = 1

Use the “function of a function” rule

Rearrange:

1

S

p

(

w

,

p

)

=

————

C

qq

(

w

, q*

)Gives slope of supply functionPositive if MC is increasing

Differential of

S with respect to

pApril 2018

16Slide17

The firm’s supply curve

C/q

C

q

p

q

AC (green)

and MC

(red) curves

For given p read off optimal

q

*

Continues

down to

p

Check what

happens below

p

p

_

q

_

|

Case illustrated is for

f

with first decreasing AC, then increasing AC, Response is a

discontinuous

map: jumps in

q*

Multivalued

at the discontinuity

Multiple

q*

at this price

no price yields

a solution here

Supply response

given

by

q

=

S

(

w

,

p

)

April 2018

17Slide18

Supply of output and price of input j

Use the FOC:

Cq

(w, S

(w,

p

) ) =

p

Differentiate with respect to

w

j

Cqj (w, q*

) + Cqq (w, q*

) Sj (

w, p) = 0

Use the “function of a function” rule again

Same as before: “price equals marginal cost”

Rearrange:

C

qj

(

w

,

q

*

)

S

j

(

w

,

p

) = – ————

C

qq

(

w

,

q

*

)

Supply of output must fall with

w

j

if MC increases with

w

j

Remember, this is positive

April 2018

18Slide19

Supply function: summary

Supply curve slopes upwardSupply decreases with the price of an input, if MC increases with the price of that inputNonconcave f yields discontinuous SIRTS means

f is nonconcave and so S is discontinuous

April 201819Slide20

Overview

Conditional

Input Demand

Output

Supply

Ordinary

Input Demand

Short-run problem

Firm: Comparative Statics

Response function for combined optimisation problem

April 2018

20Slide21

The third response function

Demand for input

i, conditional on output

q

zi*

=

H

i

(

w

,q)

q* = S (w, p)

Supply of outputzi

* = H

i(w, S(w

, p) )

D

i

(

w

,

p

)

:=

H

i

(

w

,

S

(

w

,

p

) )

Now substitute for

q

*

:

Demand for input

i

(unconditional )

input prices

output price

Stages 1 & 2 combined…

Recall the first two response functions:

Use this relationship to analyse

firm’s response to price changes

Use this to define a new function:

April 2018

21Slide22

Demand for i and the price of output

Take the relationship D

i(w, p

) = Hi

(

w

,

S

(

w

, p))

Di increases with p iff Hi increases with

q. Reason? Supply increases with price ( Sp > 0 )

But we also have, for any q:Shephard’s

Lemma again

Substitute in the above:

D

p

i

(

w

,

p

) =

C

qi

(

w

,

q

*

)

S

p

(

w

,

p

)

Demand for input

i

(D

i

)

increases with p iff

marginal cost (Cq) increases with wi

Differentiate with respect to

p:

Dpi(w,

p) = Hqi(w, q*) Sp(

w, p

)

“function of a function” rule again

H

i

(

w

,

q

) =

C

i

(w, q)

Hqi (w

, q) = C

iq (w,

q)April 201822Slide23

Demand for i and the price of

jApril 2018

23

Differentiate with respect to w

j:

D

j

i

(

w

, p) = H

ji(w, q*) + H

qi(w, q*)S

j (w,

p)Again take the relationship

Di(

w

,

p

) =

H

i

(

w

,

S

(

w

,

p

))

Use Shephard’s Lemma again:

H

q

i

(

w

,

q

)

=

C

iq

(

w

,

q

)

Use this and the previous result on Sj (

w, p) to give a decomposition into a “substitution effect” and an “output effect”:

“substitution effect”

“output effect”

Cjq(w, q*)

Dj

i

(

w

,

p

) =

H

j

i(

w,

q*)

  Ciq(w,

q*)

Cqq(w,

q*) .

Substitution effect is just slope of conditional input demand curve

Output effect is [effect of Dwj on q][effect of Dq on demand for i]Slide24

Results from decomposition formula

The effect

wi on demand for input j equals the effect of wj on demand for input i

Take the general relationship:

Now take the special case where

j

=

i

:

We

know

this is symmetric in

i

and j

We

know this is negative or zero

If wi increases, the demand for input i cannot rise

Symmetric

in

i

and

j

C

iq

(

w

,

q

*

)

C

jq

(

w

,

q

*

)

D

j

i

(

w

,

p

) =

H

j

i

(

w

,

q*)   Cqq

(w, q

*) .

cannot be

positiveCiq(w,

q*)

2

D

i

i

(

w

,

p

) =

H

ii(w,

q*)

  Cqq(w,

q*).

April 2018

24Slide25

Input-price fall: substitution effect

Change in cost

conditional demand curve

price fall

z

1

w

1

H

1

(

w

,

q

)

*

z

1

z

1

*

: initial

equilibrium

grey arrow: fall in

w

1

shaded area: value of

price

fall

initial price level

original

output level

Notional increase in factor input if output target is held constant

April 2018

25Slide26

z

1

Input-price fall: total effect

price fall

z

1

w

1

*

z

1

z

1

*

:

initial equilibrium

green line: substitution

effect

z

1

**

:

new equilibrium

**

initial price level

Conditional demand at original output

ordinary demand curve

Conditional demand at new output

April 2018

26Slide27

Ordinary demand function: summary

Nonconvex Z may yield a discontinuous DCross-price effects are symmetricOwn-price demand slopes downwardSame basic properties as for

H functionApril 2018

27Slide28

Overview

Conditional

Input Demand

Output

Supply

Ordinary

Input Demand

Short-run problem

Firm: Comparative Statics

Optimisation subject to side-constraint

April 2018

28Slide29

The short run: concept

This is not a moment in time It is defined by additional constraints within the modelCounterparts in other economic applications where one may need to introduce side constraints

April 2018

29Slide30

The short-run problem

April 2018

30

subject to the standard constraints:

We build on the firm’s standard optimisation problem

Choose

q

and

z

to maximise

q £ f (

z)q ³ 0, z ³

0 P := pq –

m

S wi zi

i

=1

z

m

=

`

z

m

But we add a

side condition

to this problem:

Let

`

q

be the value of

q

for which

z

m

=

`

z

m

would have been freely chosen in the unrestricted cost-min problem…Slide31

The short-run cost function

{zm

=`zm }

C(w,

q, zm ) := min S w

i

z

i

C

(

w, q) £

C(w, q, zm ) ~ _

The solution function with the side constraintBy definition of the cost function. We have “=” if q =`

q

Short-run AC ≥ long-run AC.SRAC = LRAC at q =`q

So, dividing by

q

:

Supply curves

~ _

~ _

Compare with the ordinary cost function

Short-run demand for input

i

:

H

i

(

w

,

q

,

z

m

) =

C

i

(

w

,

q, z

m

)

~ _ ~ _

Follows from Shephard’s Lemma

C

(

w

,

q

)

C

(

w

, q,

zm )______ _________ £ q qApril 2018

31Slide32

MC, AC and supply in the short and long run

C/q

C

q

q

p

q

C/q

C

q

~

~

green curve: AC if

all inputs

variable

`

q

: given

output level

red

curve:

MC if

all inputs variable

black

curve:

AC if input

m

kept

fixed

brown

curve:

MC

if input m kept fixed

LR supply

curve

follows LRMC

SR supply

curve

follows

SRMC

Supply

curve

steeper

in the short run

SRAC touches LRAC at

given

output

SRMC cuts LRMC at

given

output

April 2018

32Slide33

Conditional input demand

H

1

(w,q)

z

1

w

1

Brown curve: demand for

input 1

“Downward-sloping” conditional demand

Conditional demand curve is steeper in the short run

H

1

(

w

,

q

,

z

m

)

~ _

Purple curve:

demand for input 1 in

problem

with

the side constraint

April 2018

33Slide34

Key concepts

Basic functional relationsprice signals  firm  input/output responses

April 2018

34

Hi(

w

,

q

)

S

(w,p

) Di(w,p)

Hi(w, S

(w,p)) =

Di(w,p)

demand for input

i,

conditional on output

supply of output

demand for input

i

(unconditional )

And they all hook together like this:Slide35

What next?

Analyse the firm under a variety of market conditionsApply the analysis to the consumer’s optimisation problem

April 2018

35