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© 2010 W. W. Norton & Company, Inc. 5 Choice

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5. Choice. Economic Rationality. The principal behavioral postulate is that a decisionmaker chooses its most preferred alternative from those available to it. The available choices constitute the choice set. How is the most preferred bundle in the choice set located?. - PowerPoint PPT Presentation

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© 2010 W. W. Norton & Company, Inc.

5 Choice

© 2010 W. W. Norton & Company, Inc. 2

Economic Rationality

The principal behavioral postulate is that a decisionmaker chooses its most preferred alternative from those available to it.

The available choices constitute the choice set.

How is the most preferred bundle in the choice set located?

© 2010 W. W. Norton & Company, Inc. 3

Rational Constrained Choice

x1

x2

© 2010 W. W. Norton & Company, Inc. 4

Rational Constrained Choice

x1

Utility

© 2010 W. W. Norton & Company, Inc. 5

Rational Constrained Choice

Utility x2

x1

© 2010 W. W. Norton & Company, Inc. 6

Rational Constrained Choice

x1

x2

Utility

© 2010 W. W. Norton & Company, Inc. 7

Rational Constrained Choice

Utility

x1

x2

© 2010 W. W. Norton & Company, Inc. 8

Rational Constrained Choice

Utility

x1

x2

© 2010 W. W. Norton & Company, Inc. 9

Rational Constrained Choice

Utility

x1

x2

© 2010 W. W. Norton & Company, Inc. 10

Rational Constrained Choice

Utility

x1

x2

© 2010 W. W. Norton & Company, Inc. 11

Rational Constrained Choice

Utility

x1

x2

Affordable, but not the most preferred affordable bundle.

© 2010 W. W. Norton & Company, Inc. 12

Rational Constrained Choice

x1

x2

Utility

Affordable, but not the most preferred affordable bundle.

The most preferredof the affordablebundles.

© 2010 W. W. Norton & Company, Inc. 13

Rational Constrained Choice

x1

x2

Utility

© 2010 W. W. Norton & Company, Inc. 14

Rational Constrained Choice

Utility

x1

x2

© 2010 W. W. Norton & Company, Inc. 15

Rational Constrained Choice

Utility

x1

x2

© 2010 W. W. Norton & Company, Inc. 16

Rational Constrained Choice

Utilityx1

x2

© 2010 W. W. Norton & Company, Inc. 17

Rational Constrained Choice

x1

x2

© 2010 W. W. Norton & Company, Inc. 18

Rational Constrained Choice

x1

x2

Affordablebundles

© 2010 W. W. Norton & Company, Inc. 19

Rational Constrained Choice

x1

x2

Affordablebundles

© 2010 W. W. Norton & Company, Inc. 20

Rational Constrained Choice

x1

x2

Affordablebundles

More preferredbundles

© 2010 W. W. Norton & Company, Inc. 21

Rational Constrained Choice

Affordablebundles

x1

x2

More preferredbundles

© 2010 W. W. Norton & Company, Inc. 22

Rational Constrained Choice

x1

x2

x1*

x2*

© 2010 W. W. Norton & Company, Inc. 23

Rational Constrained Choice

x1

x2

x1*

x2*

(x1*,x2*) is the mostpreferred affordablebundle.

© 2010 W. W. Norton & Company, Inc. 24

Rational Constrained Choice

The most preferred affordable bundle is called the consumer’s ORDINARY DEMAND at the given prices and budget.

Ordinary demands will be denoted byx1*(p1,p2,m) and x2*(p1,p2,m).

© 2010 W. W. Norton & Company, Inc. 25

Rational Constrained Choice

When x1* > 0 and x2* > 0 the demanded bundle is INTERIOR.

If buying (x1*,x2*) costs $m then the budget is exhausted.

© 2010 W. W. Norton & Company, Inc. 26

Rational Constrained Choice

x1

x2

x1*

x2*

(x1*,x2*) is interior.

(x1*,x2*) exhausts thebudget.

© 2010 W. W. Norton & Company, Inc. 27

Rational Constrained Choice

x1

x2

x1*

x2*

(x1*,x2*) is interior.(a) (x1*,x2*) exhausts thebudget; p1x1* + p2x2* = m.

© 2010 W. W. Norton & Company, Inc. 28

Rational Constrained Choice

x1

x2

x1*

x2*

(x1*,x2*) is interior .(b) The slope of the indiff.curve at (x1*,x2*) equals the slope of the budget constraint.

© 2010 W. W. Norton & Company, Inc. 29

Rational Constrained Choice (x1*,x2*) satisfies two conditions: (a) the budget is exhausted;

p1x1* + p2x2* = m (b) the slope of the budget constraint,

-p1/p2, and the slope of the indifference curve containing (x1*,x2*) are equal at (x1*,x2*).

© 2010 W. W. Norton & Company, Inc. 30

Computing Ordinary Demands

How can this information be used to locate (x1*,x2*) for given p1, p2 and m?

© 2010 W. W. Norton & Company, Inc. 31

Computing Ordinary Demands - a Cobb-Douglas Example.

Suppose that the consumer has Cobb-Douglas preferences.

U x x x xa b( , )1 2 1 2

© 2010 W. W. Norton & Company, Inc. 32

Computing Ordinary Demands - a Cobb-Douglas Example.

Suppose that the consumer has Cobb-Douglas preferences.

Then

U x x x xa b( , )1 2 1 2

MUUx

ax xa b1

1112

MUUx

bx xa b2

21 2

1

© 2010 W. W. Norton & Company, Inc. 33

Computing Ordinary Demands - a Cobb-Douglas Example.

So the MRS is

MRSdxdx

U xU x

ax x

bx x

axbx

a b

a b

2

1

1

2

112

1 21

2

1

//

.

© 2010 W. W. Norton & Company, Inc. 34

Computing Ordinary Demands - a Cobb-Douglas Example.

So the MRS is

At (x1*,x2*), MRS = -p1/p2 so

MRSdxdx

U xU x

ax x

bx x

axbx

a b

a b

2

1

1

2

112

1 21

2

1

//

.

© 2010 W. W. Norton & Company, Inc. 35

Computing Ordinary Demands - a Cobb-Douglas Example.

So the MRS is

At (x1*,x2*), MRS = -p1/p2 so

MRSdxdx

U xU x

ax x

bx x

axbx

a b

a b

2

1

1

2

112

1 21

2

1

//

.

ax

bx

pp

xbpap

x2

1

1

22

1

21

*

** *. (A)

© 2010 W. W. Norton & Company, Inc. 36

Computing Ordinary Demands - a Cobb-Douglas Example.

(x1*,x2*) also exhausts the budget so

p x p x m1 1 2 2* * . (B)

© 2010 W. W. Norton & Company, Inc. 37

Computing Ordinary Demands - a Cobb-Douglas Example.

So now we know that

xbpap

x21

21

* * (A)

p x p x m1 1 2 2* * . (B)

© 2010 W. W. Norton & Company, Inc. 38

Computing Ordinary Demands - a Cobb-Douglas Example.

So now we know that

xbpap

x21

21

* * (A)

p x p x m1 1 2 2* * . (B)

Substitute

© 2010 W. W. Norton & Company, Inc. 39

Computing Ordinary Demands - a Cobb-Douglas Example.

So now we know that

xbpap

x21

21

* * (A)

p x p x m1 1 2 2* * . (B)

p x pbpap

x m1 1 21

21

* * .

Substitute

and get

This simplifies to ….

© 2010 W. W. Norton & Company, Inc. 40

Computing Ordinary Demands - a Cobb-Douglas Example.

xam

a b p11

*

( ).

© 2010 W. W. Norton & Company, Inc. 41

Computing Ordinary Demands - a Cobb-Douglas Example.

xbm

a b p22

*

( ).

Substituting for x1* in p x p x m1 1 2 2

* *

then gives

xam

a b p11

*

( ).

© 2010 W. W. Norton & Company, Inc. 42

Computing Ordinary Demands - a Cobb-Douglas Example.

So we have discovered that the mostpreferred affordable bundle for a consumerwith Cobb-Douglas preferences

U x x x xa b( , )1 2 1 2

is( , )

( ),( )

.* * ( )x xam

a b pbm

a b p1 21 2

© 2010 W. W. Norton & Company, Inc. 43

Computing Ordinary Demands - a Cobb-Douglas Example.

x1

x2

xam

a b p11

*

( )

x

bma b p

2

2

*

( )

U x x x xa b( , )1 2 1 2

© 2010 W. W. Norton & Company, Inc. 44

Rational Constrained Choice When x1* > 0 and x2* > 0

and (x1*,x2*) exhausts the budget,and indifference curves have no ‘kinks’, the ordinary demands are obtained by solving:

(a) p1x1* + p2x2* = y

(b) the slopes of the budget constraint, -p1/p2, and of the indifference curve containing (x1*,x2*) are equal at (x1*,x2*).

© 2010 W. W. Norton & Company, Inc. 45

Rational Constrained Choice

But what if x1* = 0?

Or if x2* = 0?

If either x1* = 0 or x2* = 0 then the ordinary demand (x1*,x2*) is at a corner solution to the problem of maximizing utility subject to a budget constraint.

© 2010 W. W. Norton & Company, Inc. 46

Examples of Corner Solutions -- the Perfect Substitutes Case

x1

x2

MRS = -1

© 2010 W. W. Norton & Company, Inc. 47

Examples of Corner Solutions -- the Perfect Substitutes Case

x1

x2

MRS = -1

Slope = -p1/p2 with p1 > p2.

© 2010 W. W. Norton & Company, Inc. 48

Examples of Corner Solutions -- the Perfect Substitutes Case

x1

x2

MRS = -1

Slope = -p1/p2 with p1 > p2.

© 2010 W. W. Norton & Company, Inc. 49

Examples of Corner Solutions -- the Perfect Substitutes Case

x1

x2

xy

p22

*

x1 0*

MRS = -1

Slope = -p1/p2 with p1 > p2.

© 2010 W. W. Norton & Company, Inc. 50

Examples of Corner Solutions -- the Perfect Substitutes Case

x1

x2

xyp11

*

x2 0*

MRS = -1

Slope = -p1/p2 with p1 < p2.

© 2010 W. W. Norton & Company, Inc. 51

Examples of Corner Solutions -- the Perfect Substitutes Case

So when U(x1,x2) = x1 + x2, the mostpreferred affordable bundle is (x1*,x2*)where

0,py

)x,x(1

*2

*1

and

2

*2

*1 p

y,0)x,x(

if p1 < p2

if p1 > p2.

© 2010 W. W. Norton & Company, Inc. 52

Examples of Corner Solutions -- the Perfect Substitutes Case

x1

x2

MRS = -1

Slope = -p1/p2 with p1 = p2.

yp1

yp2

© 2010 W. W. Norton & Company, Inc. 53

Examples of Corner Solutions -- the Perfect Substitutes Case

x1

x2

All the bundles in the constraint are equally the most preferred affordable when p1 = p2.

yp2

yp1

© 2010 W. W. Norton & Company, Inc. 54

Examples of Corner Solutions -- the Non-Convex Preferences Case

x1

x2Better

© 2010 W. W. Norton & Company, Inc. 55

Examples of Corner Solutions -- the Non-Convex Preferences Case

x1

x2

© 2010 W. W. Norton & Company, Inc. 56

Examples of Corner Solutions -- the Non-Convex Preferences Case

x1

x2

Which is the most preferredaffordable bundle?

© 2010 W. W. Norton & Company, Inc. 57

Examples of Corner Solutions -- the Non-Convex Preferences Case

x1

x2

The most preferredaffordable bundle

© 2010 W. W. Norton & Company, Inc. 58

Examples of Corner Solutions -- the Non-Convex Preferences Case

x1

x2

The most preferredaffordable bundle

Notice that the “tangency solution”is not the most preferred affordablebundle.

© 2010 W. W. Norton & Company, Inc. 59

Examples of ‘Kinky’ Solutions -- the Perfect Complements Case

x1

x2U(x1,x2) = min{ax1,x2}

x2 = ax1

© 2010 W. W. Norton & Company, Inc. 60

Examples of ‘Kinky’ Solutions -- the Perfect Complements Case

x1

x2

MRS = 0

U(x1,x2) = min{ax1,x2}

x2 = ax1

© 2010 W. W. Norton & Company, Inc. 61

Examples of ‘Kinky’ Solutions -- the Perfect Complements Case

x1

x2

MRS = -

MRS = 0

U(x1,x2) = min{ax1,x2}

x2 = ax1

© 2010 W. W. Norton & Company, Inc. 62

Examples of ‘Kinky’ Solutions -- the Perfect Complements Case

x1

x2

MRS = -

MRS = 0

MRS is undefined

U(x1,x2) = min{ax1,x2}

x2 = ax1

© 2010 W. W. Norton & Company, Inc. 63

Examples of ‘Kinky’ Solutions -- the Perfect Complements Case

x1

x2U(x1,x2) = min{ax1,x2}

x2 = ax1

© 2010 W. W. Norton & Company, Inc. 64

Examples of ‘Kinky’ Solutions -- the Perfect Complements Case

x1

x2U(x1,x2) = min{ax1,x2}

x2 = ax1

Which is the mostpreferred affordable bundle?

© 2010 W. W. Norton & Company, Inc. 65

Examples of ‘Kinky’ Solutions -- the Perfect Complements Case

x1

x2U(x1,x2) = min{ax1,x2}

x2 = ax1

The most preferredaffordable bundle

© 2010 W. W. Norton & Company, Inc. 66

Examples of ‘Kinky’ Solutions -- the Perfect Complements Case

x1

x2U(x1,x2) = min{ax1,x2}

x2 = ax1

x1*

x2*

© 2010 W. W. Norton & Company, Inc. 67

Examples of ‘Kinky’ Solutions -- the Perfect Complements Case

x1

x2U(x1,x2) = min{ax1,x2}

x2 = ax1

x1*

x2*

(a) p1x1* + p2x2* = m

© 2010 W. W. Norton & Company, Inc. 68

Examples of ‘Kinky’ Solutions -- the Perfect Complements Case

x1

x2U(x1,x2) = min{ax1,x2}

x2 = ax1

x1*

x2*

(a) p1x1* + p2x2* = m(b) x2* = ax1*

© 2010 W. W. Norton & Company, Inc. 69

Examples of ‘Kinky’ Solutions -- the Perfect Complements Case

(a) p1x1* + p2x2* = m; (b) x2* = ax1*.

© 2010 W. W. Norton & Company, Inc. 70

Examples of ‘Kinky’ Solutions -- the Perfect Complements Case

(a) p1x1* + p2x2* = m; (b) x2* = ax1*.

Substitution from (b) for x2* in (a) gives p1x1* + p2ax1* = m

© 2010 W. W. Norton & Company, Inc. 71

Examples of ‘Kinky’ Solutions -- the Perfect Complements Case

(a) p1x1* + p2x2* = m; (b) x2* = ax1*.

Substitution from (b) for x2* in (a) gives p1x1* + p2ax1* = mwhich gives

21

*1 app

mx

© 2010 W. W. Norton & Company, Inc. 72

Examples of ‘Kinky’ Solutions -- the Perfect Complements Case

(a) p1x1* + p2x2* = m; (b) x2* = ax1*.

Substitution from (b) for x2* in (a) gives p1x1* + p2ax1* = mwhich gives .

appam

x;app

mx

21

*2

21

*1

© 2010 W. W. Norton & Company, Inc. 73

Examples of ‘Kinky’ Solutions -- the Perfect Complements Case

(a) p1x1* + p2x2* = m; (b) x2* = ax1*.

Substitution from (b) for x2* in (a) gives p1x1* + p2ax1* = mwhich gives

A bundle of 1 commodity 1 unit anda commodity 2 units costs p1 + ap2;m/(p1 + ap2) such bundles are affordable.

.app

amx;

appm

x21

*2

21

*1

© 2010 W. W. Norton & Company, Inc. 74

Examples of ‘Kinky’ Solutions -- the Perfect Complements Case

x1

x2U(x1,x2) = min{ax1,x2}

x2 = ax1

xm

p ap11 2

*

x

amp ap

2

1 2

*