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The Firm: Basics The Firm: Basics

The Firm: Basics - PowerPoint Presentation

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The Firm: Basics - PPT Presentation

MICROECONOMICS Principles and Analysis Frank Cowell July 2015 1 Overview July 2015 2 The setting Input requirement sets Returns to scale Marginal products The Firm Basics The environment for the basic model of the firm ID: 316656

july 2015 output input 2015 july input output function case production returns isoquants marginal inputs points feasible isoquant set

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Slide1

The Firm: Basics

MICROECONOMICSPrinciples and Analysis Frank Cowell

April 2018

1Slide2

Overview

April 2018

2

The setting

Input require-ment sets

Returns to scale

Marginal products

The Firm: Basics

The environment for the basic model of the firm

IsoquantsSlide3

The basics of production

Some elements needed for an analysis of the firmTechnical efficiencyReturns to scale

ConvexitySubstitutability

Marginal products

This is in the context of

a single-output firm

assuming a competitive environment

First we need the building blocks of a model

April 2018

3Slide4

Notation

April 2018

4

Quantities

z

i

amount of input

i

z

= (

z

1

, z

2 ,

, zm

)

input vector

amount of output

q

Prices

price of input

i

w

= (w1

, w2

,

, w

m

)

Input-price vector

price of output

p

For next presentation

w

i

Slide5

Feasible production

April 2018

5

The basic relationship between output and inputs:

q

£

f

(

z

1

, z2

, , zm )

This can be written more compactly as:

q £

f (z)

single-output, multiple-input production relation

f

gives the maximum amount of output that can be produced from a given list of inputs

Note that we use “

£” and not “=” in the relation. Why?Consider the meaning of f

Vector of inputs

The production function

distinguish two important cases...Slide6

Technical efficiency

April 2018

6

The case where production is

technically efficient

The case where production is (technically) inefficient

Case 1:

q

=

f

(

z

)

Case 2:

q

<

f

(

z

)

Intuition: if the combination

(

z

,q

) is inefficient, you can throw away some inputs and still produce the same output Slide7

z

2

z

1

q

>

f

(

z

)

Boundary: feasible

and

efficient points

The function

April 2018

7

q

0

Cone:

production function

“Inside”:

feasible but

inefficient points

“Outside”: Infeasible

points

q <

f

(

z

)

q

=

f

(

z

)

We need to examine its structure in detailSlide8

Overview

April 2018

8

The setting

Input require-ment sets

Returns to scale

Marginal products

The Firm: Basics

The structure of the production function

IsoquantsSlide9

The input requirement set

April 2018

9

remember, we must have

q

£

f

(

z

)

Pick a particular output level

qFind a feasible input vector

z

Repeat to find all such vectors

Yields the input-requirement set

Z

(

q

) := {z: f

(z) ³

q}

The set of input vectors that meet the technical feasibility condition for output

q

The shape of

Z

depends on the assumptions made about production

We will look at four cases

First, the “standard” caseSlide10

z

1

z

2

The input requirement set

April 2018

10

“Inside”: feasible

but inefficient

Boundary: feasible

and technically efficient

“Outside”: Infeasible

Z

(

q

)

q <

f

(

z

)

q

=

f

(

z

)

q >

f

(

z

) Slide11

z

1

z

2

Case 1:

Z

smooth, strictly convex

April 2018

11

Pick two boundary points

Draw the line between them

Intermediate points lie in the interior of

Z

A combination of two techniques may produce more output

What

if we changed some of the assumptions?

z

¢

z

²

Z

(

q

)

q<

f

(

z

)

q

=

f

(

z

"

)

q

=

f

(

z

'

)

Note important role of convexitySlide12

Case 2: Z

Convex (but not strictly)April 2018

12

z

1

z

2

A combination of feasible techniques is also feasible

Z

(

q

)

z

¢

z

²

Pick two boundary points

Draw the line between them

Intermediate points lie in

Z

(perhaps on the boundary)Slide13

Case 3: Z

smooth but not convexApril 2018

13

z

1

z

2

in this region there is an indivisibility

Join two points across the “dent”

Z

(

q

)

Take an intermediate point

Point lies in infeasible zone

This point is infeasible

Slide14

z

1

z

2

Case 4:

Z

convex but not smooth

April 2018

14

Only one technically efficient point

Slope of the boundary is undefined at this point

q =

f

(

z

) Slide15

z

1

z

2

z

1

z

2

z

1

z

2

z

1

z

2

Summary: 4 possibilities for

Z

April 2018

15

Only one efficient point and not smooth

Problems: the dent represents an indivisibility

Standard case, but strong assumptions about divisibility and smoothness

Almost conventional: mixtures may be just as good as single techniquesSlide16

Overview

April 2018

16

The setting

Input require-ment sets

Returns to scale

Marginal products

The Firm: Basics

Contours of the production function

IsoquantsSlide17

Isoquants

17

Pick a particular output level

q

Find the input requirement set

Z

(

q

)

The

isoquant

is the boundary of Z

: {z : f

(z) = q

}

Think of the isoquant as an integral part of the set Z

(q)

f(z)

f

i(z) :=

——

¶z

i .

f

j (

z

)

——

f

i

(

z

)

If the function

f

is differentiable at

z

then the

marginal rate of technical substitution

is the slope at

z

:

Where appropriate, use subscript to denote partial derivatives. So

Gives rate at which you trade off one input against another along the isoquant, maintaining constant

q

Let’s look at its shape

April 2018Slide18

z

1

z

2

Draw input-requirement

set

Z

(

q

)

Isoquant, input ratio, MRTS

April 2018

18

Boundary:

contour

of the function

f

{

z

:

f

(

z

)=

q

}

An efficient point

Input ratio describes one production technique

z

2

°

z

1

°

z

°

Slope of ray:

input ratio

z

2

/

z

1

= constant

Slope of

boundary: Marginal

Rate of Technical Substitution

The isoquant is the boundary of

Z

Higher slope: increased MRTS

z

MRTS

21

=

f

1

(

z

)/

f

2

(

z

)

MRTS

21

: implicit “price” of input 1 in terms of 2

Higher “price”: smaller relative use of input 1Slide19

MRTS and elasticity of substitution

Responsiveness of inputs to MRTS is elasticity of substitution

April 2018

19

∂log(

z

1

/

z

2

)

=  

∂log(

f1/

f2

)

prop

change input ratio 



 =

prop

change in MRTS

input-ratio  MRTS

  

input-ratio MRTS

z

1

z

2

s

= ½

z

1

z

2

s

= 2Slide20

Elasticity of substitution

April 2018

20

z

1

z

2

structure of the contour map...

A constant elasticity of substitution isoquant

Flatter isoquant: higher elasticity

of substitution...

*

detail on slide can

only be seen if you run the slideshowSlide21

Homothetic contours

April 2018

21

Curves: the isoquant map

O

z

1

z

2

Ray

through the

origin: a given input ratio

Same

MRTS

where ray

cuts each isoquantSlide22

Contours of a homogeneous function

April 2018

22

Curves: the isoquant map

O

z

1

z

2

Point

z

°

: inputs that will produce

q

Point

t

z

°

:

inputs

that will produce

t

rq

tz

1

°

tz

2

°

z

2

°

z

1

°

t

z

°

z

°

q

t

r

q

f

(

t

z

)

=

t

r

f

(

z

)Slide23

Overview

April 2018

23

The setting

Input require-ment sets

Returns to scale

Marginal products

The Firm: Basics

Changing all inputs together

IsoquantsSlide24

Let's rebuild from the isoquants

The isoquants form a contour map If we looked at the “parent” diagram, what would we see?Consider returns to scale of the production functionExamine effect of varying all inputs together:

Focus on the expansion pathq plotted against proportionate increases in zTake three standard cases:

Increasing Returns to Scale

Decreasing Returns to Scale

Constant Returns to Scale

Do this for 2 inputs, one output

April 2018

24Slide25

Case 1: IRTS

April 2018

25

z

2

q

z

1

0

An increasing returns to scale function

t >

1

implies

f

(

t

z

)

>

t

f

(

z

)

Point

on the

surface: feasible, efficient

Dotted line plots the

expansion

path

Double inputs and you more than double outputSlide26

Case 2: DRTS

April 2018

26

q

z

1

A decreasing returns to scale function

Point on the surface: feasible, efficient

Dotted line plots

the

expansion path…

z

2

0

t

>

1

implies

f

(

t

z

)

<

t

f

(

z

)

Double inputs and output increases by less than double Slide27

Case 3: CRTS

April 2018

27

z

2

q

0

A constant returns to scale function

Point on the surface: feasible, efficient

The expansion path is a ray

z

1

f

(

t

z

)

=

t

f

(

z

)

Double inputs and output exactly doubles Slide28

Relationship to isoquants

April 2018

28

z

2

q

0

Take any

production function

Horizontal

“slice

”: given q level

z

1

Project down to get the isoquant

Repeat to get isoquant map

Isoquant

map is the projection of

the

set of

technically efficient pointsSlide29

Overview

April 2018

29

The setting

Input require-ment sets

Returns to scale

Marginal products

The Firm: Basics

Changing one input at time

IsoquantsSlide30

Marginal products

April 2018

30

Measure the marginal change in output w.r.t. this input

f

(

z

)

MP

i

=

fi

(z) =

——¶zi

.

Pick a technically efficient input vector

Keep all but one input constant

Remember, this means a

z such that

q = f(

z)

The marginal productSlide31

CRTS production function again

April 2018

31

z

2

q

0

Vertical slice: keep one input constant

z

1

Broken line: path

for

z

2

=

const

Let’s look at its shapeSlide32

Marginal Product

for CRTS production functionApril 2018

32

z

1

q

f

(

z

)

Shaded area: feasible

set

A section of the production function

Boundary: technically

efficient points

Input 1 is essential:

If

z

1

= 0

then

q

= 0

Slope of

tangent: MP

of input 1

f

1

(

z

)

Slope depends on value of

z

1

f

1

(

z

)

falls with

z

1

(or stays constant) if

f

is concaveSlide33

Relationship between q

and z1April 2018

33

z

1

q

z

1

q

z

1

q

z

1

q

We’ve just taken the

conventional case

But in general this curve depends on the shape of

Some other possibilities for the relation between output and one input…Slide34

Key concepts

Technical efficiencyReturns to scaleConvexityMRTSMarginal product

April 2018

34Slide35

What next?

Introduce the marketOptimisation problem of the firmMethod of solutionSolution concepts

April 2018

35