Graduate (S) Business Administration 509

THE ECONOMIC ENVIRONMENT OF BUSINESS

Spring 2018
 
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B.  Elasticity

  • Measures responsiveness of one variable to changes in other variables

η = %ΔY / %ΔX

.

1.  Price elasticity of demand

  • Measures how sensitive quantity demanded is to changes in the price

ηD = %ΔQD / %ΔP

.

a. Calculation

ηD = %ΔQD / %ΔP = 

Ex. - P1 = 10, Q1 = 200, P2 = 20, Q2 = 120

ηD =

= -0.75            Interpretation:  1% increase in P
                            => 0.75% decrease in QD 

.

b. Categorizing goods

| ηD | > 1     => | %ΔQD / %ΔP | > 1    =>  | %ΔQD | > | %ΔP |      => elastic

| ηD | = 1     => | %ΔQD / %ΔP | = 1    =>  | %ΔQD | = | %ΔP |   => unit elastic

| ηD | < 1     => | %ΔQD / %ΔP | < 1    =>  | %ΔQD | < | %ΔP |      => inelastic

.

c. Factors affecting the price elasticity

(1)  Availability of substitutes

More substitutes => higher elasticity

Less substitutes => lower elasticity

.

(2)  Proportion of total expenditures spent on good

Larger proportion => higher elasticity

Smaller proportion => lower elasticity

.

(3)  Unique features

Has unique features => lower elasticity

No unique features => higher elasticity

.

(4)  Input used to produce final good

Elasticity of final good higher => higher elasticity

Elasticity of final good lower => lower elasticity

.

(5)  Comparisons with substitute products

Comparison easy => higher elasticity

Comparison hard => lower elasticity

.

(6)  Tax deductions or insurance

Expenditure tax deductible or covered by insurance => lower elasticity

Expenditure not tax deductible or not covered by insurance => higher elasticity

.

(7)  Switching costs

High switching costs => lower elasticity

Low switching costs => higher elasticity

.

(8)  Complements

Complementary product => lower elasticity

Not complementary => higher elasticity

.

(9)  Brand-level vs. industry-level

Brand-level => higher elasticity

Industry-level => lower elasticity

.

(10)  Adjustment time

Longer time => higher elasticity

Shorter time => lower elasticity

.

d. Elasticity and the demand curve

(1)  Linear demand

.

(2)  Elasticity and the steepness of the demand curve

.

(3)  Extreme cases

.

e.  Elasticity and revenue

  • TR = total revenue = P * Q

.

(1)  Elastic demand

| ηD | > 1 =>

| %ΔQD / %ΔP | > 1

=>
 | %ΔQD | > | %ΔP |
P QD TR

.

(2)  Inelastic demand

| ηD | < 1 =>

| %ΔQD / %ΔP | < 1

=>
 | %ΔQD | < | %ΔP |
P QD TR
 

f.  Total revenue, marginal revenue, and demand

(1)  Marginal revenue

  • Marginal revenue = ΔTR / ΔQ

(2)  Total revenue

2.  Income elasticity

  • Measures how sensitive quantity demanded is to changes in income

ηI = %ΔQD / %ΔI

.

a.  Calculation

ηI = %ΔQD / %ΔI =

Ex. - I1 = 40,000, Q1 = 22, I2 = 60,000, Q2 = 28

 ηI =

= +0.6           Interpretation:  1% increase in income
                          => 0.6% increase in QD

b.  Categorizing goods

ηI < 0 => inferior good

ηI > 0 => normal good

ηI < 1 => noncyclical normal good

ηI > 1 => cyclical normal good

.

3.  Cross-price elasticity

  • Measures how sensitive quantity demanded of one product is to changes in the price of another product

ηX,Y = %ΔQY / %ΔPX

.

a.  Calculation

ηX,Y = %ΔQY / %ΔPX =

Ex. - PX1 = 9, QY1 = 45, PX2 = 11, QY2 = 35

ηX,Y =

= -1.25          Interpretation:  1% increase in PX
                          => 1.25% decrease in QY

b.  Categorizing goods

ηX,Y > 0 => substitutes  (PX increases, QX decreases, QY increases)

ηX,Y = 0 => no relationship

ηX,Y < 0 => complements  (PX increases, QX decreases, QY decreases)

.

4.  Price elasticity of supply

  • Measures how sensitive quantity supplied is to changes in income

ηS = %ΔQS / %ΔP

.

a.  Calculation

ηS = %ΔQS / %ΔP =

Ex. - P1 = 49, QS1 = 2,400, P2 = 51, QS2 = 2,600

ηS =

= +2.00         Interpretation:  1% increase in P
                          => 2.00% increase in QS

b.  Elasticity and the supply curve

.

5.  Elasticity estimates

Product

Elasticity

Automobiles ηD = -1.95
Coca-Cola ηD = -1.22
Post Raisin Bran ηD = -2.50
Cereal ηD = -0.90
Bread ηD = -0.40
Gasoline ηD = -0.06
Beer ηD = -0.30,
ηI = -0.09
Wine ηI = +5.03
Domestic cars ηI = +1.63
Beef ηI = +1.06
Chicken ηI = +0.28
Cigarettes ηI = +0.50
Flour ηI = -0.36
Margarine ηX,Y = +1.53 (for butter)
U.S. cars ηX,Y = +0.28
(for Asia and European cars)
Entertainment ηX,Y = -0.72 (for food)
Cereals ηX,Y = -0.87 (for fresh fish)
Used housing ηS = +0.20 - +0.30