Lecture 4: From Indifference Curves to Demand

Preferences, Willingness to Pay, and Market Demand1

Learning Goals

By the end of class, you should be able to:

  • Link indifference curves to marginal willingness to pay
  • Understand how changes in price affect marginal willingness to pay
  • Derive the demand curve from marginal willingness to pay/individual demand
  • Define the “law of demand”
  • Understand how the income/substitution effects in indifference curves are demand shifters
  • Calculate and use the price elasticity of demand

From indifference curves to demand curves

  • Indifference curves describe preferences
  • But we cannot measure preferences directly
  • Instead we can measure what someone is willing to pay for a good
  • We can also measure how much of a good was sold at a given price (quantity demanded)
  • Today: how one maps into the other

Preferences are about X vs. Y

  • Each point is a bundle of goods
  • Indifference curves show bundles that are equally good
  • Their slope tells us how willing you are to trade one good for another

Indifference Curves give us Willingness to Pay

  • At your chosen bundle, you face a tradeoff:

    “How much of one good would I give up for one more of another good?”

That tradeoff is your willingness to pay for the good.

We can measure it in units of the other good, or in dollars.

Good X Good Y Willingness to Pay (for X, in $)
10 45 18.00
20 40 8.00
30 35 4.67
40 30 3.00

Prices determine the chosen bundle

  • Given prices and income, you choose one bundle
  • Different prices → different budget lines
  • Each budget line → a different tangency So prices map to chosen quantities.

Demand is that map

  • For each possible price…
  • There is a chosen bundle
  • That bundle implies a quantity of the good

Demand is the mapping from price (y-axis) to quantity demanded (x-axis).

A demand curve (Price: p, Quantity: q)

\(q = 100 - 2*p\) Price though often graphed as: \(p = (100 - q)/2\)

Individual vs market demand

  • Everything so far works for one person
  • People can have different preferences and incomes
  • Market demand sums the individual demands at each price to get total quantity demanded

Law of Demand: Negative slope

As price rises:

  • Budget lines get steeper
  • Chosen bundles shift
  • Willingness to pay falls

Lower prices include more units and more buyers.

What shifts demand?

Don’t memorize – think preferences.

  • Tastes change → indifference curves change
  • Income changes → reachable bundles change
  • Prices of other goods change → tradeoffs change
    • If the two goods are “substitutes” (e.g. Coke and Pepsi), a price increase of one will increase the demand for the other
    • If the two goods are “complements” (e.g. Peanut Butter and Jelly), a price increase of one will decrease the demand for the other

Anything that shifts the optimal bundle in the indifference curve picture will shift the demand curve.

Demand vs. quantity demanded

Comprehension check: Do changes in the price of a good “shift” its demand curve, or just move you along it?

No! Changes in the price of a good move you along the demand curve, not shift it.

Quantity demanded \(\neq\) Demand curve

Demand is often drawn as a straight line

  • It summarizes willingness to pay cleanly
  • It’s a good approximation over small ranges
  • It makes changes easy to interpret

Straight lines are a tool, not a claim about reality.

Quantifying responsiveness to price changes

  • Say demand is given by \(q = 100 - 2*p\)
  • How much does a 1 dollar change in price change quantity demanded?
  • Each 1 dollar change in price changes quantity demanded by 2 units.
  • Is that a big or small response? It depends on the price.
    • At 49 dollars, raising the price by 1 dollar drops demand from 2 to 0 (100% decrease).
    • At 1 dollar, the same increase lowers demand from 98 to 97 (~1% decrease).
  • Policymakers have to keep recalculating the impact, depending on where they start.
  • Using percent changes instead avoids this problem.

Elasticity = sensitivity

Elasticity asks:

By what percentage does quantity change when price changes by 1%?”

While slope measures unit changes, elasticity measures percent changes—making it easier to compare across goods and prices.

Formula:

\[ \varepsilon = \frac{\% \text{change in quantity demanded}}{\% \text{change in price}} = \frac{\Delta q/q}{\Delta p/p} \]

Elasticities are huge in economics and policymaking – they’re usually what economists actually estimate.

Calculating the change in quantity demanded/price

Price increase: 10 dollars to 11 dollars, quantity demanded decreases: 100 to 90. What is the elasticity?

It depends on which point you use as the initial point.

  1. The initial point: \[ \varepsilon = \frac{q_1 - q_0}{q_0} / \frac{p_1 - p_0}{p_0} = \frac{90 - 100}{100} / \frac{11 - 10}{10} = -1 \]

  2. The final point: \[ \varepsilon = \frac{q_1 - q_0}{q_1} / \frac{p_1 - p_0}{p_1} = \frac{90 - 100}{90} / \frac{11 - 10}{11} = -1.11 \]

  3. The midpoint (often used for symmetry) \[ \varepsilon = \frac{q_1 - q_0}{q_1 + q_0}/2 / \frac{p_1 - p_0}{p_1 + p_0}/2 = \frac{90 - 100}{90 + 100}/2 / \frac{11 - 10}{11 + 10}/2 = -1.05 \]

Elastic vs. inelastic

  • Not all goods are equally “elastic”
  • Real-world examples:
    • Elastic: Restaurant meals, luxury items (easy to cut back).
    • Inelastic: Insulin, gasoline (hard to cut back when prices rise).

Determinants of elasticity

What do you think determines the elasticity of demand for a good?

  • Availability of substitutes
  • Necessity vs. luxury
  • Proportion of income spent on the good
  • Time horizon

How do we use elasticity?

What can elasticity tell us about the effect of a new tax on the quantity of a good demanded?

  • If demand is elastic, a tax will reduce the quantity demanded by a lot.
  • If demand is inelastic, a tax will reduce the quantity demanded by a little.

A good has an elasticity of -15, what will a 1 percent tax on it do to the quantity demanded?

  • 15% reduction in quantity demanded

Addiction: Sin taxes vs. ban

Governments often debate whether to tax or ban harmful goods.

  • Cigarettes
  • Alcohol
  • Marijuana
  • Opioids

Why?

  • To reduce use and harm
  • To raise revenue to offset social costs

Elasticity of demand explains whether taxes or bans are more effective.

Cigarettes: taxes reduce use and raise revenue

Cigarette demand is inelastic, but not zero

After a price increase:

  • Government revenue rises
  • But smoking starts to fall

Why?

  • Addiction makes short-run demand less responsive
  • But some smokers quit, cut back, or never start

Inelastic \(\neq\) no response

Youth smoking rate and price of cigarettes (Gruber, 2022)

What policymakers learn from cigarettes

Because demand is inelastic:

  • Taxes reduce smoking gradually
  • Taxes raise substantial revenue
  • Heavy users pay the most tax

This is why cigarette taxes are widely used worldwide.

Elasticity adds a quantitative dimension to an ethical debate.

Alcohol: similar, but not identical

Alcohol demand is also inelastic (Ruhm et al. 2012), but:

  • More substitutes than cigarettes
  • Less addictive for many users

Elasticity differs by:

  • Type (beer vs spirits)
  • Group (youth vs adults)
  • Result: Taxes reduce drinking
  • Effects are stronger for binge drinking and youth

Marijuana legalization: prices fell, use rose

Legalization also changed prices (Miller and Seo 2021). After legalization:

  • Production costs fell
  • Legal competition increased
  • Prices dropped

Use increased — especially among adults.

Marijuana demand is more elastic than cigarette demand

  • Lower prices \(\rightarrow\) noticeable increase in use
  • Taxes can raise revenue
  • But high taxes push consumers back to illegal markets
  • Elastic demand limits how high taxes can go.

Partially explains why marijuana policy is so different from cigarette policy.

Opioids: when prices barely matter

Opioid demand is extremely inelastic, especially for dependent users.

  • Addiction dominates price sensitivity
  • Cutting supply or raising prices often:
    • Doesn’t reduce use
    • Pushes users toward riskier alternatives

This is where price-based policy breaks down.

Opioid overdose deaths and price of opioids (Gruber, 2022)

The opioid crisis

Because demand is extremely inelastic:

  • Taxes don’t meaningfully reduce use
  • Supply restrictions can increase harm
  • Users substitute toward fentanyl or unsafe sources

Policy implication: Treatment and harm reduction dominate taxation.

Elasticity tells us what tools will fail

Big takeaway

Elasticity tells policymakers whether higher prices change behavior or mainly raise money — or do neither.

So economists and policymakers care about it a ton

One framework, four outcomes

Market Demand elasticity Do taxes reduce harm?
Cigarettes Inelastic Yes (gradually)
Alcohol Moderately inelastic Yes (context-dependent)
Marijuana More elastic Mixed
Opioids Extremely inelastic No

Same policy tool. Different outcomes.

Looking ahead

  • Establish theory of a firm and supply curve
  • Think about market equilibria and efficiency
  • Consider different market structures
  • Consider market failures and policy interventions