You are about to meet the model that the rest of this book builds on. Almost everything in microeconomics — and a great deal in macroeconomics — depends on understanding what happens when buyers and sellers face each other in a market. This chapter...
Learning Objectives
- Construct a demand curve and identify the five shifters of demand.
- Construct a supply curve and identify the five shifters of supply.
- Find market equilibrium graphically and algebraically.
- Predict the direction of price and quantity changes when shifters move.
In This Chapter
- The Most Powerful Model in Economics
- 5.1 The market for off-campus housing in Millbrook
- 5.2 Demand: how much do buyers want at each price?
- 5.3 Supply: how much do sellers want to sell at each price?
- 5.4 Equilibrium: where supply meets demand
- 5.5 Using the model: predicting changes
- 5.6 Worked examples
- 5.7 Caveats and limits
- 5.8 Where this is going
Chapter 5 — Supply and Demand
The Most Powerful Model in Economics
You are about to meet the model that the rest of this book builds on. Almost everything in microeconomics — and a great deal in macroeconomics — depends on understanding what happens when buyers and sellers face each other in a market. This chapter is going to spend a lot of time building that understanding from the ground up. It will move slowly. It will use intuition before any equations. It will start with a single market you understand (housing in Millbrook) and use it to develop a tool that works for almost every market you will ever encounter.
Take your time with this chapter. Read it twice if you need to. Do the exercises. Sketch the graphs yourself. The reason to invest the time is that everything that comes later — elasticity, government intervention, surplus, international trade, market failure, monopoly, labor markets, even the macro chapters that introduce aggregate demand and aggregate supply — depends on you having internalized supply and demand. If this chapter clicks, the rest of the book is much easier. If it doesn't, the rest of the book will feel like a series of unrelated stories. Make this chapter click.
5.1 The market for off-campus housing in Millbrook
Let's start with a real-feeling example. The fictional town of Millbrook is home to Millbrook State University, with about 17,000 undergraduates and 3,000 graduate students. About half of MSU undergraduates live in dorms; the other half live off-campus, mostly in apartments within walking or biking distance of the main campus. There are also non-student residents of Millbrook who rent apartments. The off-campus housing market in Millbrook involves roughly 8,500 rental units that are part of "the student market" — meaning they are leased on August-to-July leases at prices that students can afford and amenities students want.
In the fall of 2024, the average rent for a 1-bedroom apartment within walking distance of MSU was about $1,200 a month. By the fall of 2025, the same apartments were renting for about $1,400 a month — a 17% increase in one year, much higher than any general measure of inflation. What happened?
To answer this question, we need a model. The model needs to capture: how many apartments landlords are willing to rent at any given price; how many apartments students are willing to rent at any given price; what determines the price that emerges from the interaction of these two; and what changes about the price (and the number of rented apartments) when conditions change. The model that does all of this is supply and demand, and we're going to build it now.
5.2 Demand: how much do buyers want at each price?
The first half of the model is demand. Demand is a relationship — not a single number but a pattern — between price and quantity demanded. For each possible price of an apartment, how many apartments are MSU students (and other Millbrook renters) willing and able to rent at that price?
Let's get specific. Suppose we did a survey of all the people in Millbrook who might rent a 1-bedroom apartment near MSU. We asked each of them: "If the rent were exactly $X per month, how many apartments would you rent?" (Most would say "one or zero," but for the market as a whole, we add up everyone's answers.) We get a table that looks something like this:
| Monthly rent | Quantity demanded (number of apartments) |
|---|---|
| $800 | 9,500 |
| $1,000 | 8,800 |
| $1,200 | 8,000 |
| $1,400 | 7,200 |
| $1,600 | 6,400 |
| $1,800 | 5,500 |
| $2,000 | 4,500 |
Notice the pattern: as the price rises, the quantity demanded falls. This is true for almost every market for almost every good, and economists call it the law of demand.
Law of demand: Ceteris paribus, when the price of a good rises, the quantity demanded falls; when the price falls, the quantity demanded rises.
The "ceteris paribus" clause is doing important work. It means: holding everything else constant. The relationship between price and quantity demanded is what the law describes; if other things change at the same time (incomes, the price of substitutes, tastes), the quantity demanded can change in directions that would otherwise be confusing. We will come back to this distinction shortly when we talk about movements along the demand curve versus shifts of the demand curve.
Why does demand slope down?
There are three reasons quantity demanded tends to fall as price rises. They reinforce each other but they're conceptually distinct.
Reason 1 — Diminishing marginal benefit. The first apartment is enormously valuable to a Millbrook State student who otherwise has nowhere to live. The second apartment is valueless to her — she only needs one. So as the price rises, the people for whom the apartment was barely worth it drop out first, and only those who need it most are left buying. The aggregate of these individual decisions is the downward-sloping demand curve.
Reason 2 — Substitution effect. When the price of an apartment near MSU rises, the alternatives become more attractive: living a little farther from campus (where rent is lower), getting a roommate (splitting the rent), staying in a dorm, commuting from home if possible, or sharing an apartment with two roommates. As the price of the original good rises, students substitute toward the alternatives. The substitution reduces quantity demanded at the higher price.
Reason 3 — Income effect. Even if the student can technically afford a higher rent, she now has less money for everything else (food, books, gas, social life). The higher rent makes her effectively poorer, and a poorer student demands less of almost everything — including housing. This effect is small for most goods (a $200 increase in rent doesn't change your overall income very much) but it's real, and for goods that take up a large fraction of your budget, it matters.
For most goods most of the time, all three effects work in the same direction: higher price → lower quantity demanded. This is why demand curves slope down. The exceptions exist (we'll see one in §5.7) but they are rare and usually involve special circumstances.
Drawing the demand curve
Let's plot the table from above on a chart, with price on the vertical axis (this is conventional in economics, even though you might expect it on the horizontal) and quantity on the horizontal.
Demand for 1BR apartments near MSU
Price
($/month)
$2000 |●
| ╲
$1800 | ●
| ╲
$1600 | ●
| ╲
$1400 | ●
| ╲
$1200 | ●
| ╲
$1000 | ●
| ╲
$ 800 | ●
|________________________________
0 2k 4k 6k 8k 10k Quantity demanded
Figure 5.1 — The demand curve for 1-bedroom apartments near MSU. Each point on the curve is a price-quantity pair from the table. As the price rises, the quantity demanded falls. The curve is downward-sloping because (1) people for whom the apartment is barely worth it drop out at higher prices, (2) substitutes become more attractive, and (3) higher prices effectively reduce the buyer's spending power.
The demand curve is just a graphical representation of the table. Each point on the curve says: "at this price, this many apartments are demanded." A lower price means more apartments demanded. A higher price means fewer.
A critical distinction — movement along vs. shift of
If the price of apartments rises from $1,200 to $1,400 with nothing else changing, the quantity demanded falls from 8,000 to 7,200. This is a movement along the demand curve. We don't say "demand fell" — we say "the quantity demanded fell." The curve itself didn't move.
If, on the other hand, MSU's enrollment rises by 2,000 students, the quantity demanded at every price rises. This is a shift of the entire demand curve to the right. We say "demand increased." The curve has moved.
This distinction is the most common source of confusion in introductory microeconomics. Movement along the curve is about price changing while everything else stays still. Shift of the curve is about something other than the price changing the relationship between price and quantity demanded.
Drilling this in: if someone says "the price rose, so demand fell," they are usually wrong. The price rising causes the quantity demanded to fall (movement along the curve), not "demand" itself (which would be a shift). If you can keep this straight, you are ahead of most people who use the word "demand" in ordinary speech.
The five shifters of demand
What can shift the demand curve? Five things, each of which changes how many apartments students want at any given price.
Shifter 1 — Number of buyers. If MSU's enrollment rises (more students need housing) or if more non-student residents move to Millbrook (the city becomes more attractive), the number of buyers rises and the demand curve shifts right. If enrollment falls or people leave town, demand shifts left.
Shifter 2 — Income. As students' (or their parents') incomes rise, they can afford more of normal goods. For most goods, a higher income means more demand at any given price — the curve shifts right. Goods with this property are called normal goods. A few goods have the opposite relationship: as incomes rise, people buy less of them (substituting toward higher-quality alternatives). These are called inferior goods. Examples might include ramen noodles, used cars, or — for some students — the cheapest possible apartments. Apartment-near-MSU is probably normal, but the quality tier of the apartment depends on income.
Shifter 3 — The price of related goods. - Substitutes: if the price of a related good that consumers can substitute for this one falls, demand for this one shifts left. Example: if dorm room rates fall, fewer students want off-campus apartments, so demand for apartments shifts left. - Complements: if the price of a related good that is consumed with this one falls, demand for this one shifts right. Example: if the price of gas falls, students may be more willing to live further from campus (because driving is cheaper), which might shift demand for cheaper apartments far from campus rightward.
Shifter 4 — Tastes and preferences. If students start to prefer urban apartment living over suburban houses, demand for apartments shifts right. If a new dorm with luxury amenities becomes the cool place to live, demand for off-campus apartments might shift left. Tastes change slowly but they do change, and they show up as shifts of the demand curve.
Shifter 5 — Expectations. If students expect rents to rise sharply next year, they may sign leases now (locking in current rents), shifting current demand to the right. If they expect rents to fall, they may delay signing, shifting current demand to the left. Expectations are subtle but they matter, especially in markets with long planning horizons (housing, education, durable goods).
There is no shifter called "the price of the good itself." A change in the price of apartments causes a movement along the demand curve, not a shift of it. The price is the variable on the y-axis, not a shifter.
5.3 Supply: how much do sellers want to sell at each price?
The second half of the model is supply. Supply is the relationship between price and quantity supplied: for each possible price of an apartment, how many apartments are landlords willing and able to rent out?
Suppose we surveyed all the landlords in the Millbrook student-housing market. For each possible price, we asked: "If you could rent your apartment at this price, would you rent it?" Some landlords have low costs (an old building with the mortgage paid off) and would happily rent at $800. Other landlords have higher costs (newer buildings, higher property taxes, more maintenance) and would only rent if they could get $1,500 or more. Aggregate the answers across all landlords:
| Monthly rent | Quantity supplied (number of apartments) |
|---|---|
| $800 | 6,200 |
| $1,000 | 7,000 |
| $1,200 | 7,800 |
| $1,400 | 8,500 |
| $1,600 | 9,200 |
| $1,800 | 9,800 |
| $2,000 | 10,300 |
The pattern is the opposite of demand: as the price rises, the quantity supplied rises. This is the law of supply.
Law of supply: Ceteris paribus, when the price of a good rises, the quantity supplied rises; when the price falls, the quantity supplied falls.
Why does supply slope up?
For most goods most of the time, supply slopes up for two reasons.
Reason 1 — Increasing marginal cost. Producing more units (or, in our example, making more apartments available for rent) tends to be more expensive at the margin. The first apartment a landlord rents out is one that is sitting vacant and ready — almost free to rent, since the costs (mortgage, property taxes, basic maintenance) are already being incurred. The second is similar. But to rent out the tenth apartment, the landlord might have to convert a unit that was previously used as storage (added cost), or add an extra repair worker (added cost), or accept a tenant who is harder to manage (added effective cost). At the level of the entire market, the most expensive apartments to make available — fixing up units in bad condition, building new units, taking on harder tenants — only get put on the market when the rent is high enough to compensate for the extra cost.
Reason 2 — Entry of new sellers. At higher prices, sellers who weren't in the market at lower prices find it profitable to enter. A homeowner who would not bother renting out a spare room for $400 a month might decide to rent it for $1,200 a month. A developer who would not finance a new apartment building at average rents of $900 might break ground on a new building if rents are $1,500. As the price rises, more sellers enter, and the total quantity supplied rises.
Drawing the supply curve
Supply for 1BR apartments near MSU
Price
($/month)
$2000 | ●
| ╱
$1800 | ●
| ╱
$1600 | ●
| ╱
$1400 | ●
| ╱
$1200 | ●
| ╱
$1000 | ●
| ╱
$ 800 |●
|________________________________
0 2k 4k 6k 8k 10k Quantity supplied
Figure 5.2 — The supply curve for 1-bedroom apartments near MSU. The curve is upward-sloping because (1) producing additional units is increasingly costly at the margin and (2) higher prices attract additional sellers into the market.
Movement along vs. shift of (again)
The same distinction applies to supply. A change in the price of apartments causes a movement along the supply curve (more apartments offered at higher prices). A change in something other than the price causes a shift of the entire supply curve.
The five shifters of supply
Shifter 1 — Number of sellers. If new landlords enter the Millbrook market (perhaps because a developer builds new apartment buildings), the supply curve shifts right. If landlords leave (perhaps because property taxes rise sharply or they sell their properties to be converted to other uses), the supply curve shifts left.
Shifter 2 — Input prices. If the cost of inputs that landlords use rises — labor (maintenance workers), materials (paint, appliances), property taxes, insurance, mortgage interest — supply shifts left at any given rent. If input prices fall, supply shifts right.
Shifter 3 — Technology. Better property management technology, more efficient maintenance practices, smart locks that reduce the cost of dealing with lost keys — all of these reduce the cost of supplying apartments and shift supply right. Technology rarely makes the news in the apartment market the way it does in computers, but it matters at the margin.
Shifter 4 — Expectations. If landlords expect rents to rise sharply next year, they might hold back current supply (waiting for next year's higher prices). This would shift current supply to the left. Conversely, if they expect rents to fall, they might rush apartments to market now.
Shifter 5 — Government policies. Property taxes, building codes, zoning regulations, rental regulations, tenant protection laws — all of these affect the cost or feasibility of supplying apartments. If a city imposes new, expensive building code requirements, supply shifts left. If a city relaxes zoning to allow more apartments to be built, supply shifts right. We'll see this in much more depth in Chapter 7 (government intervention) and Chapter 36 (housing affordability).
There is no shifter called "the price of the good itself." Same logic as with demand: the price is on the y-axis, not in the shifter list.
5.4 Equilibrium: where supply meets demand
Now let's put the two curves on the same chart. The intersection of the two curves is the equilibrium of the market.
Demand and Supply for Apartments
Price
($/month)
$2000 |● (D) ● (S)
| ╲ ╱
$1800 | ● ●
| ╲ ╱
$1600 | ● ●
| ╲ ╱
$1400 | ● ●
| ╲╱
$1300 | ★ ← EQUILIBRIUM
| ╱╲
$1200 | ● ●
| ╱ ╲
$1000 | ● ●
| ╱ ╲
$ 800 | ● ●
|________________________________
0 6k 7.6k 9k Quantity
Figure 5.3 — The equilibrium of the housing market. The demand curve and supply curve cross at a single point. At this point — call it $1,300/month rent and 7,600 apartments — buyers want to rent exactly as many apartments as sellers want to rent out. There is neither a shortage (more wanted than supplied) nor a surplus (more supplied than wanted).
The equilibrium is the price-quantity pair where the market "clears" — where the wants of buyers and sellers exactly match. Above the equilibrium price, more apartments are supplied than demanded (a surplus); below the equilibrium price, more apartments are demanded than supplied (a shortage).
Why does the market move to equilibrium?
The market moves to equilibrium because both buyers and sellers respond to surpluses and shortages.
If the price is above equilibrium (say, $1,800/month) — a surplus. There are more apartments offered than students want to rent. Some apartments sit empty. Landlords with empty apartments — losing rental income every month they sit vacant — start to lower their prices to attract tenants. Other landlords, seeing the price drop, follow suit to remain competitive. The price falls. As the price falls, the quantity demanded rises (movement along the demand curve) and the quantity supplied falls (movement along the supply curve), and the surplus shrinks. The price keeps falling until the surplus is gone — until the market reaches equilibrium.
If the price is below equilibrium (say, $1,000/month) — a shortage. More students want apartments than landlords are willing to rent at this price. Apartments rent out instantly when listed. Landlords realize they could charge more and still find tenants — so they start raising prices. Other landlords follow. The price rises. As the price rises, the quantity demanded falls (movement along the demand curve) and the quantity supplied rises (movement along the supply curve), and the shortage shrinks. The price keeps rising until the shortage is gone — until the market reaches equilibrium.
The mechanism that moves the market to equilibrium is prices responding to surpluses and shortages. Nobody coordinates this. Nobody decides what the equilibrium price should be. The market price emerges from the decentralized decisions of many buyers and sellers, each responding to their own circumstances. This is one of the most remarkable features of decentralized markets — and one of the things that makes Adam Smith famous for the metaphor of the "invisible hand."
The invisible hand, importantly, is not magic. It works because buyers and sellers respond to prices and prices respond to surpluses and shortages. When that mechanism is impaired — when prices can't move freely, or when buyers and sellers can't respond, or when information is missing — the market doesn't reach equilibrium efficiently. We will see all of this in Chapter 7 (government intervention), Chapter 11 (externalities), and Chapter 16 (information asymmetries). For now, the key insight is that equilibrium is what happens when nothing prevents the price-and-quantity adjustment process from working.
5.5 Using the model: predicting changes
The whole point of building supply and demand is to use it to predict what happens to price and quantity when conditions change. The process is mechanical once you have the curves in place. There are four steps:
Step 1. Identify what changed. Was it a shifter of demand, a shifter of supply, or both? Step 2. Decide which curve(s) shifted, and in which direction. Step 3. Find the new equilibrium where the (new) supply curve meets the (new) demand curve. Step 4. Compare the new equilibrium price and quantity to the old ones.
Let's run the Millbrook example through the procedure.
Why did Millbrook rents rise from $1,200 to $1,400 between 2024 and 2025?
What changed in the year? Let's brainstorm possibilities: - MSU's enrollment increased by about 800 undergraduates as the university expanded its data science program. - A nearby apartment complex (about 200 units) closed for renovation, taking those units out of the market for 18 months. - Mortgage interest rates rose from about 5% to about 7%, raising the cost of financing for landlords. - Property tax assessments in Walden County rose by about 8%, raising landlord costs. - A new dorm at MSU with 400 beds opened, providing alternatives.
That's a lot of changes. Some of them shift demand; some shift supply. Let's sort them:
Demand shifters: - MSU enrollment up 800 → demand shifts right (more buyers) - New dorm with 400 beds → demand for off-campus apartments shifts left (substitute became cheaper/more attractive)
Net effect on demand: depends on which is bigger. 800 new students minus 400 new dorm beds = 400 net additional students who need off-campus housing. Demand shifts right (slightly).
Supply shifters: - 200-unit complex closed for renovation → supply shifts left (fewer sellers) - Mortgage rates up → input prices up → supply shifts left - Property taxes up → input prices up → supply shifts left
Net effect on supply: all three shift supply left. Supply shifts left (significantly).
Combined effect: demand shifts right (slightly) and supply shifts left (significantly). When demand shifts right and supply shifts left, the equilibrium price unambiguously rises. The effect on equilibrium quantity is ambiguous (it depends on which shift is bigger). In this case, the supply shift is bigger, so the equilibrium quantity probably falls.
Predicted change: rents rise (clearly), and the number of rented apartments falls (probably).
What actually happened in Millbrook in 2025: rents rose from $1,200 to $1,400 (clear), and the number of rented apartments fell slightly from about 7,800 to about 7,500 (consistent with the prediction). The model worked.
This is what supply and demand can do: take a list of things that changed in a market and produce a structured prediction of what happened to price and quantity. The prediction isn't always quantitatively precise, but it almost always gets the direction right, and often it gets the magnitude approximately right.
5.6 Worked examples
Let's run through a few more examples to make the pattern habitual.
Example A — A drought hits the corn-growing regions of Iowa, reducing corn yields by 20%.
What shifted? Supply of corn. (The drought is an input change — less water, less corn — and shifts the supply curve left.) Demand didn't change.
Effect on equilibrium: supply left → price rises, quantity falls.
Real-world analogue: this is what happened in 2012, when a major U.S. drought caused corn prices to spike from about $5/bushel to over $8/bushel. Quantity fell substantially. The model predicted this and it happened.
Example B — A new study shows that drinking coffee is associated with longer life expectancy. Coffee becomes more popular.
What shifted? Demand for coffee. (Tastes shifted toward coffee.) Supply didn't change in the short run.
Effect: demand right → price rises, quantity rises.
Example C — A technology breakthrough makes solar panels 50% cheaper to produce. Demand for solar panels stays the same.
What shifted? Supply of solar panels. (Lower input costs / better technology.) Demand didn't change.
Effect: supply right → price falls, quantity rises.
This is roughly what happened to solar panels between 2010 and 2020: prices fell by about 80% as technology and manufacturing scale improved, and quantity (installed capacity) rose by orders of magnitude.
Example D — A recession causes household incomes to fall. The market: laundromats.
What shifted? Demand for laundromats. But which way? Laundromats are arguably an inferior good — when incomes fall, people who used to take their laundry to a fancy dry cleaner or own a washing machine might switch to laundromats. So demand for laundromats might shift right (not left) when incomes fall.
Effect: demand right → price rises, quantity rises.
(For most goods, falling incomes shift demand left. The laundromat case illustrates that "inferior good" is a real category — and that the model can handle it as long as you know what kind of good you're working with.)
Example E — Government imposes a tax of $200/month on each apartment rented in Millbrook.
This is harder. The tax raises the cost of supplying apartments by $200/month per unit. Supply shifts left by $200 (at every quantity, the supply curve is now $200 higher than it was). Equilibrium price rises (but by less than $200 — both buyers and sellers share the burden), equilibrium quantity falls.
We will spend the entire Chapter 7 on the effects of taxes and subsidies. For now, the key point is that you can use the supply-and-demand framework to predict the effects of a policy change as long as you can figure out which curve shifts and in which direction.
5.7 Caveats and limits
The supply-and-demand model is the most useful model in microeconomics. It is also a simplification, and the simplification has limits. We will spend the rest of Part II and most of Part III exploring these limits, but it's worth previewing them now.
Limit 1 — The model assumes many buyers and many sellers. In a market with one big seller (a monopoly) or a few big sellers (an oligopoly), the supply curve concept breaks down because the seller(s) can choose the price strategically rather than taking it as given. We will see this in Chapter 19 (monopoly) and Chapter 20 (oligopoly).
Limit 2 — The model assumes the good is homogeneous. Real markets often have differentiated products: not "an apartment" but "this specific apartment, in this specific building, with this specific landlord." The model still works as a first approximation but loses precision. Some markets (commodity wheat, gasoline at a particular grade, generic prescription drugs) are close to homogeneous; others (housing, restaurant meals, college educations) are highly differentiated.
Limit 3 — The model assumes information is good. Buyers and sellers know what's available and at what price. In real markets, information is sometimes very poor. We will see what happens when information fails in Chapter 16.
Limit 4 — The model assumes the market is competitive and free to adjust. When prices are controlled (rent control, minimum wage), or when transactions are blocked (illegal markets, restrictive licensing), the equilibrium concept still applies but the actual market doesn't reach equilibrium.
Limit 5 — The model ignores externalities. The decisions of buyers and sellers affect others outside the market (pollution, congestion, the value of nearby property). When this happens, the equilibrium that the market reaches isn't the equilibrium that would maximize society's welfare. Chapter 11 will address this.
Limit 6 — The model assumes rational, self-interested actors. Behavioral departures from this assumption matter. We will see them in Chapter 10.
None of these limits invalidate supply and demand. They qualify it. In most markets most of the time, the model is a good first approximation. Knowing where the approximation breaks down is what makes you a careful user of the model rather than a credulous one.
5.8 Where this is going
Chapter 6 introduces elasticity — the measurement of how responsive quantities are to prices. Elasticity is the bridge from the qualitative supply-and-demand framework to quantitative predictions about how big effects will be.
Chapter 7 takes supply and demand to the most contested microeconomic policy debates: rent control, minimum wage, taxes, subsidies. You will see why economists are mostly opposed to rent control as written (and why voters mostly support it anyway), and you will see the minimum wage debate done honestly.
Chapter 8 introduces consumer and producer surplus — a way to measure who gains how much from a market and how government policies redistribute those gains.
Chapter 9 takes supply and demand to international trade and uses it to analyze the effects of tariffs.
Chapter 10 introduces behavioral economics — the systematic ways real humans depart from the rational-choice assumption built into the model.
By the end of Part II, you will have the analytical core of microeconomics in your head, and you will be able to use it on almost any market you care about. But before any of that — internalize Chapter 5. The whole rest of the book depends on it.
Key terms recap: demand — the relationship between price and quantity demanded quantity demanded — how many units buyers want to purchase at a given price law of demand — quantity demanded falls as price rises (ceteris paribus) supply — the relationship between price and quantity supplied quantity supplied — how many units sellers want to sell at a given price law of supply — quantity supplied rises as price rises (ceteris paribus) equilibrium — the price-quantity pair where supply equals demand shortage — quantity demanded exceeds quantity supplied (price below equilibrium) surplus — quantity supplied exceeds quantity demanded (price above equilibrium) movement along vs. shift of — the difference between the price changing (movement along) and other things changing (shift of the curve) normal good — a good for which demand rises as income rises inferior good — a good for which demand falls as income rises substitute — a good that buyers can use in place of another complement — a good that buyers use together with another
Themes touched: Markets power+imperfect (foundational), Tradeoffs, Incentives, Affects daily life. The model is the most powerful tool in microeconomics; the rest of the book builds on it.