Principles of Microeconomics – Chapter 4 : Elasticity

Price Elasticity of Demand

  • Price elasticity of demand: Measures how much the quantity demanded of a product changes due to a change in its price.

  • Coefficient of elasticity: Denoted by epsilon (\varepsilon) . It's an absolute number, so the sign is ignored.

    • Formula: \varepsilon_p = \frac{\% \Delta \text{ quantity demanded}}{\% \Delta \text{ price}}

Types of Demand

  • Inelastic Demand: Quantity demanded is not very responsive to price changes.

    • |\varepsilon| < 1

  • Elastic Demand: Quantity demanded is very responsive to price changes.

    • |\varepsilon| > 1

  • Unitary Demand: Percentage change in quantity demanded equals the percentage change in price.

    • |\varepsilon| = 1

Elasticity Coefficient

  • Measures the responsiveness of quantity demanded to price changes.

    • If |\varepsilon| > 1, demand is elastic.

    • If |\varepsilon| < 1, demand is inelastic.

    • If |\varepsilon| = 1, demand is unitary.

Determinants of Price Elasticity

  • Number of available substitutes.

  • Percentage of household income spent on the product.

  • Time period involved.

Examples of Elasticities

  • Elastic Demands

    • Fresh Tomatoes (4.60)

    • Movies (3.41)

    • Lamb (2.65)

    • Restaurant Meals (1.63)

    • China and Tableware (1.54)

    • Automobiles (1.14)

  • Inelastic Demands

    • Household Electricity (0.13)

    • Eggs (0.32)

    • Car Repairs (0.36)

    • Food (0.58)

    • Household Appliances (0.63)

    • Tobacco (0.86)

Examples of Elastic/Inelastic Demand

  • Sugar: Inelastic (\varepsilon < 1)

  • Gasoline: Inelastic (\varepsilon < 1)

  • Ocean Cruises: Elastic (\varepsilon > 1)

  • Restaurant Meals: Elastic (\varepsilon > 1)

  • Women's Hats: Elastic (\varepsilon > 1)

  • Alcohol: Inelastic (\varepsilon < 1)

Measuring Price Elasticity

  • Formula: \varepsilon_p = \frac{\% \Delta \text{ quantity demanded}}{\% \Delta \text{ price}}

  • Expanded Formula: \varepsilonp = \frac{\frac{\Delta Qd}{\text{average } Q_d} \times 100}{\frac{\Delta P}{\text{average } P} \times 100}

Example Calculations

  • Vancouver to Edmonton

    • Price decreases from $650 to $550, quantity of tickets increases from 1000 to 1100.

    • \% \Delta Q_d = \frac{100}{1050} \times 100 = 9.5\%

    • \% \Delta P = \frac{-100}{600} \times 100 = -16.7\%

    • \varepsilon_p = \frac{9.5\%}{16.7\%} = 0.57

    • Demand is inelastic because \varepsilon_p < 1

  • Vancouver to Calgary

    • Price decreases from $650 to $550, quantity of tickets increases from 1000 to 1250.

    • \% \Delta Q_d = \frac{250}{1125} \times 100 = 22.2\%

    • \% \Delta P = \frac{-100}{600} \times 100 = -16.7\%

    • \varepsilon_p = \frac{22.2\%}{16.7\%} = 1.33

    • Demand is elastic because \varepsilon_p > 1

Understanding Elasticity Coefficients

  • Set I: Price changes from $9 to $8, quantity changes from 1 to 2.

    • \varepsilon = \frac{(2-1)/1.5}{(9-8)/8.5} = \frac{66.66\%}{11.76\%} = 5.67

  • Set II: Price changes from $2 to $1, quantity changes from 8 to 9.

    • \varepsilon = \frac{(9-8)/8.5}{(2-1)/1.5} = \frac{11.76\%}{66.66\%} = 0.18

  • The coefficients are different because the same $1 change in price represents a small percentage change in Set I but a large percentage change in Set II. Similarly, the change of 1 unit in quantity represents a large percentage change in Set I, but a small percentage change in Set II.

Elasticity and Total Revenue

  • If demand is elastic, an increase in price will decrease revenue.

  • If demand is inelastic, an increase in price will increase revenue.

Impact on Total Revenue

  • If demand is inelastic (\varepsilon < 1):

    • Price falls, Total Revenue falls.

    • Price rises, Total Revenue rises.

  • If demand is elastic (\varepsilon > 1):

    • Price falls, Total Revenue rises.

    • Price rises, Total Revenue falls.

  • If demand is unitary elastic (\varepsilon = 1):

    • Price falls, Total Revenue stays the same.

    • Price rises, Total Revenue stays the same.

  • Revenue is not the same as profit.

Examples

  • \varepsilon > 1 and price falls: Total Revenue rises.

  • \varepsilon < 1 and price rises: Total Revenue rises.

  • \varepsilon < 1 and price falls: Total Revenue falls.

  • \varepsilon > 1 and price rises: Total Revenue falls.

  • \varepsilon = 1 and price rises: No change in Total Revenue.

Quantity Change and Total Revenue Effect

  • Product A: \varepsilon = 2, price increases by 5%.

    • \% \Delta Q = -10\%, Total Revenue decreases.

  • Product B: \varepsilon = 0.4, price increases by 10%.

    • \% \Delta Q = -4\%, Total Revenue increases.

  • Product C: \varepsilon = 0.2, price decreases by 20%.

    • \% \Delta Q = 4\%, Total Revenue decreases.

  • Product D: \varepsilon = 1, price increases by 7%.

    • \% \Delta Q = -7\%, Total Revenue shows no change.

  • Product E: \varepsilon = 3, price decreases by 2%.

    • \% \Delta Q = 6\%, Total Revenue increases.

Price Elasticity Graphically

  • Slope is rise over run.

  • A straight-line demand curve has a constant slope.

  • Elasticity is percentage change in quantity over percentage change in price.

  • A straight-line demand curve's elasticity varies from point to point.

  • The upper half of any straight-line demand curve is elastic, and the lower half is inelastic.

  • A relatively steep demand curve is mostly inelastic.

  • A relatively shallow demand curve is mostly elastic.

Types of Elasticity

  • Inelastic demand: A percentage change in price causes a smaller percentage change in quantity.

  • Unit elastic demand: A percentage change in price causes the same percentage change in quantity.

  • Elastic demand: A percentage change in price causes a larger percentage change in quantity.

Elasticity and Total Revenue

  • As price drops from $10 to $5, demand is elastic, and total revenue increases.

  • At $5, demand is unitary, and total revenue is at its maximum.

  • Below $5, upon a drop in price, demand is inelastic, and total revenue is falling.

Range of Elasticities

  • Perfectly inelastic: \varepsilon = 0

  • Inelastic: 0 < |\varepsilon| < 1

  • Unitary elastic: |\varepsilon| = 1

  • Elastic: |\varepsilon| > 1

  • Perfectly elastic: \varepsilon = \infty

Loss and Gain in Total Revenue

  • With inelastic demand, the gain in total revenue from increased purchasing is less than the loss from a drop in price (but an increase in price will increase total revenue).

  • With unit elastic demand, the gain in total revenue from increased purchasing is equal to the loss from a drop in price.

  • With elastic demand, the gain in total revenue from increased purchasing is greater than the loss from a drop in price (but an increase in price will decrease total revenue).

Example

  • Demand Schedule

    • Price Quantity

    • 1 18

    • 2 16

    • 3 14

    • 4 12

    • 5 10

    • 6 8

    • 7 6

    • 8 4

    • 9 2

  • The slope of this demand curve is \frac{\Delta P}{\Delta Q} = \frac{1}{-2} = -0.5

  • The elasticity coefficient for a price change from, say, 4 to 5 is 0.82, which is quite different from the slope of –0.5. The elasticity varies along any curve where the slope is constant.

Applications of Price Elasticity

  • Sales tax.

  • Excise tax on products such as cigarettes.

  • Crackdown on illegal drugs.

  • A good harvest is not always good news for farmers.

Impact of Taxes

  • The more inelastic the demand for a product, the larger is the percentage of a sales (or excise) tax the consumer will pay.

Excise Tax

  • A sales tax imposed on a particular product.

  • They are an “easy” form of tax revenue for governments.

  • Taxes are usually imposed on products with inelastic demands (gasoline, cigarettes, alcohol) where the resulting increase in price is bigger than the drop in quantity.

    • The result: greater tax revenue for governments.

Sin Taxes

The Effect of a $1 Increase in the Tax on Salt and Tomatoes
  • Salt (inelastic demand)

    • TAX REVENUES BEFORE TAX INCREASE: 10m.units @ $2 = $20m

    • TAX REVENUES AFTER $1 TAX INCREASE: 9m.units @ $3 = $27m

  • Tomatoes (elastic demand)

    • TAX REVENUES BEFORE TAX INCREASE: 10m.units @ $2 = $20m

    • TAX REVENUES AFTER $1 TAX INCREASE: 6m.units @ $3 = $18m

War on Drugs

  • With an inelastic demand, a campaign against the drug trade will reduce the supply causing a great increase in the price, thus increasing the amount paid by drug users.

Agricultural Products

  • The demand for many agricultural products (including grain crops like rice and wheat) is inelastic.

  • An increase in the supply causes a big drop in the price so that the total revenue of farmers decreases.

Other Elasticity Measures

Elasticity of Supply

  • A measure of how much quantity supplied changes as a result of a change in price.

  • \varepsilon_S = \frac{\% \Delta \text{ quantity supplied}}{\% \Delta \text{ price}}

  • Expanded Formula: \varepsilonS = \frac{\frac{\Delta QS}{\text{average } Q_S} \times 100}{\frac{\Delta P}{\text{average } P} \times 100}

Example
  • Price changes from $2 to $3, the quantity supplied rises from 400 to 500.

  • \varepsilon_S = \frac{\frac{100}{450} \times 100}{\frac{1}{2.5} \times 100} = \frac{+0.22}{+0.4} = +0.55

Supply Elasticity in Three Periods

  • In the market period, supply is perfectly inelastic.

  • In the short run, supply is inelastic.

  • In the long run, supply is elastic.

  • Longer time frames have more elastic supply.

Perfectly Inelastic Supply

  • Some products have perfectly inelastic supply.

  • E.g., concert tickets for a single event.

  • If demand is higher than the expected, there will be a shortage and ticket scalping.

  • If demand is lower than expected, there will be unsold seats.

Income Elasticity

  • The responsiveness of quantity demanded to a change in income.

  • \varepsilonY = \frac{\% \Delta \text{ quantity demanded } (QD)}{\% \Delta \text{ income } (Y)}

  • Expanded Formula: \varepsilonY = \frac{\frac{\Delta QD}{\text{average } Q_D} \times 100}{\frac{\Delta Y}{\text{average } Y} \times 100}

Types of Goods
  • If |\varepsilon_Y| > 1 (positive number): Normal – Luxury good, Income elastic.

  • If 0 < |\varepsilon_Y| < 1 (positive number): Normal – Necessity, Income inelastic.

  • If |\varepsilon_Y| < 0 (negative number): Inferior good, Negative income elastic.

Example
  • Income, Quantity Demanded of X, Quantity Demanded of Y

    • $10,000, 200, 50

    • $15,000, 350, 54

Calculations
  • Product X:

    • \varepsilon = \frac{(350-200)/275}{(15000-10000)/12500} = \frac{+54.5\%}{+40\%} = +1.36

  • Product Y:

    • \varepsilon = \frac{(54-50)/52}{(15000-10000)/12500} = \frac{+7.6\%}{+40\%} = +0.19

  • Products X and Y are normal goods because both have a positive coefficient.

  • X is a luxury (\varepsilon > 1).

  • Y is a necessity (0 < \varepsilon < 1).

Cross-Elasticity of Demand

  • Responsiveness of the change in Q_d of product A to a change in the price of product B.

  • \varepsilon_{AB} = \frac{\% \Delta \text{ quantity demanded of product A}}{\% \Delta \text{ price of product B}}

  • Expanded Formula: \varepsilon{AB} = \frac{\frac{\Delta Q{AD}}{\text{average } Q{AD}} \times 100}{\frac{\Delta PB}{\text{average } P_B} \times 100}

Example
Cross-Elasticity of Margarine and Butter
  • Margarine, Butter Price, Quantity Demanded per Week (lb.), Price, Quantity Demanded per Week (lb.)

    • $1.50, 5000, $3.00, 1000

    • $2.10, 3200, $3.00, 2000

  • \varepsilon_{AB} = \frac{\frac{1000}{1500} \times 100}{\frac{0.6}{1.8} \times 100} = +2

Types of Goods
  • If coefficient is positive, goods are substitutes.

  • If coefficient is negative, goods are complements.

Summary of Various Elasticities

  • PRICE ELASTICITY OF DEMAND AND SUPPLY

    • Inelastic: 0 to 1

    • Unitary: 1

    • Elastic: 1 to \infty

  • INCOME ELASTICITY

    • Inferior Goods: Negative Elasticity

    • Normal Goods

      • Necessities: Inelastic, 0 to 1

      • Luxuries: Elastic: 1 to \infty

  • CROSS-ELASTICITY

    • Complements: Negative Elasticity

    • Substitutes: Positive Elasticity

Key Concepts to Remember

  • Definition, calculation, and determinants of price elasticity of demand.

  • Difference between slope and elasticity.

  • Relationship between elasticity and total revenue.

  • Real-world examples of elasticity.

  • Elasticity of supply, income elasticity, and cross-elasticity of demand.