Chapter 6: An Introduction to Macroeconomics
So far in this course, most of our tools have zoomed in on one market at a time: one budget line, one PPF, one supply and demand diagram.
Macroeconomics studies the economy as a whole rather than one market at a time, output, employment, and prices across every industry simultaneously.
There is no way to track every one of the millions of individual markets in the economy at once. Macroeconomists instead rely on a small number of summary statistics that condense an enormous amount of information into a few numbers.
These three numbers cannot tell you everything, but together they capture the health and trajectory of the entire economy well enough to guide most everyday decisions and policy debates. The next three chapters take each one in turn.
Economic growth is an increase in a nation’s total output over time, usually measured as the percentage change in real GDP.
But total output growing is not the same as people getting better off. Two ways to measure growth:
If total output grows 3 percent but the population also grows 3 percent, the average person is no better off at all. Per-capita growth, not total growth, is what tracks rising living standards.
The pie doubles in size in both futures, total output growth is identical. But in Future A the population stays the same, so everyone’s slice gets bigger. In Future B, population also doubles, so each slice ends up exactly the size it started at. Same total growth, very different outcome for the average person.
A growth rate (or percentage change) always follows the same formula:
\[ \text{Growth rate} = \frac{\text{New value} - \text{Old value}}{\text{Old value}} \]
Example: Your hourly wage rises from $10 to $12.
\[ \frac{12 - 10}{10} = \frac{2}{10} = 0.20 = 20\% \]
Same formula works for GDP, population, prices, anything you want to compare across two points in time. New minus old, divided by old.
A country’s real GDP is $200 billion this year and its population is 10 million people.
Next year, real GDP rises to $212 billion, and population rises to 10.4 million.
| This year | Next year | |
|---|---|---|
| Real GDP | $200 billion | $212 billion |
| Population | 10 million | 10.4 million |
| GDP per capita | $20,000 | $20,384.6 |
Population grew 4 percent, which ate up most of the 6 percent total growth. The typical person is only about 1.9 percent better off, not 6 percent.
| Country A | Country B | |
|---|---|---|
| Total GDP growth | \((525-500)/500 = 5.0\%\) | \((93.6-90)/90 = 4.0\%\) |
| GDP per capita, year 1 | \(500{,}000{,}000{,}000/50{,}000{,}000 = \$10{,}000\) | \(90{,}000{,}000{,}000/6{,}000{,}000 = \$15{,}000\) |
| GDP per capita, year 2 | \(525{,}000{,}000{,}000/51{,}500{,}000 \approx \$10{,}194\) | \(93{,}600{,}000{,}000/6{,}060{,}000 \approx \$15{,}446\) |
| Per-capita growth | \(\approx 1.9\%\) | \(\approx 3.0\%\) |
Small differences in growth rates compound into enormous differences over time, and a nation’s sustained growth rate also shapes its living standards and its influence on the world stage.
Sustained modern economic growth, where output per person rises generation after generation, is a relatively recent phenomenon. For most of human history before the Industrial Revolution, output per person barely changed across centuries. The sustained growth we now consider normal only began roughly two centuries ago.
GDP per capita is an average, total output divided evenly across the whole population. It says nothing about how that output is actually distributed.
Answer: two consecutive quarters of shrinking real GDP is one common informal definition of a recession, output is actually falling rather than merely growing more slowly.
Answer: the population has grown steadily over this period, so some of the rise in total real GDP simply reflects more people producing, not necessarily a rising standard of living per person.
Answer: a sharp brief dip typically lines up with a recession, such as the 2008 to 2009 financial crisis or the 2020 pandemic shock, when output fell quickly before recovering.
Every dollar of income faces the same basic choice: spend it now, or set it aside.
A society that saves more today gives up some consumption now in exchange for a larger economy, and more consumption, later. That is the growth tradeoff in a single sentence.
Saving on its own does nothing for growth, it has to actually get used to build new capital. Banks and other financial institutions are the bridge between the two.
A small town has 500 households. Each household saves an average of $4,000 per year, depositing it at the local bank.
A local firm wants to borrow money to build a new $1.5 million factory.
Buying a financial asset, stocks, bonds, cryptocurrency, in hopes it rises in value.
Investment, in economics, means spending on new capital goods, things that expand the economy’s ability to produce.
Buying an existing share of stock does not, by itself, create any new capital. It just transfers ownership of an existing asset from one person to another. Economic investment only happens when new capital is actually built.
Paying for college, a trade certification, or job training is often called an “investment in yourself,” and that framing makes sense: you give up money and time now, expecting a future payoff:
Economists have a name for this too, human capital, the skills, knowledge, and abilities a person builds up over time. Building human capital genuinely raises a person’s future productivity and earning potential, much like a firm’s investment in a machine raises the firm’s future output.
Here is the catch: tuition and training spending is not counted in GDP’s Investment (I) component. GDP accounting only counts spending on new physical capital, and residential construction, as Investment. Money you spend on your own education counts as Consumption (C) instead, even though economically you are doing something very similar to what a firm does when it invests in a new factory.
Firms invest in new capital when they expect it to pay off. That word, expect, is doing a lot of work, investment is a bet on the future, not a reaction to the present.
Because investment depends on expectations rather than current conditions, it is one of the most volatile parts of the economy. A shift in how firms feel about the future can change investment spending sharply even if nothing else in the economy has changed yet.
“Business confidence” is not a mood a manager wakes up with, it is built from real information a firm gathers before committing to a project. A few concrete inputs:
None of these guarantee a correct forecast, firms get it wrong in both directions all the time. That uncertainty is exactly why investment spending swings so much more than consumption spending over the business cycle, a topic we will return to later in the course.
Answer: a sudden spike often reflects a shock, such as the 2020 pandemic, where stimulus payments arrived while normal spending options like travel and dining out were unavailable, pushing more income into saving.
Answer: a falling saving rate means less of current income is being set aside, which, all else equal, shrinks the pool of loanable funds available for firms to borrow and invest.
Answer: not necessarily. If households suddenly save much more, current spending falls, and businesses selling consumer goods can see sales and revenue drop sharply in the short run, even though more saving can support more investment later.
Why don’t all prices just adjust instantly?
Long-term contracts, printing and menu costs, and a general reluctance to cut wages or prices (workers and customers dislike sudden cuts) all slow price adjustment down.
Because sticky prices behave so differently from flexible prices, economists deliberately use two different frameworks rather than one model for every situation.
This distinction is the bridge to the rest of the course. It is why a recession can mean rising unemployment (Chapter 9) rather than just falling prices, and why the growth story (Chapter 8) is fundamentally a long-run, flexible-price story even though the day-to-day economy we experience is a short-run, sticky-price one.
For each situation below, decide whether the price described is more likely sticky or flexible, and be ready to explain why:
This chapter is a bridge, it does not give you the full picture yet, it provides a guide to understanding why the toolkit is built the way it is.
Keep the sticky-price idea in mind going forward, it explains why the short run and the long run need separate models.