The US Macroeconomy in Data

Pilot fixture: This page tests the production workflow. The prose, questions, and interpretations below are AI-assisted fixtures and are not approved Chapter 1 manuscript text. The named Google Doc remains canonical until Simon authorizes transfer.

Learning objectives

By the end of the approved chapter, students should be able to:

  1. distinguish levels, rates, growth rates, and index numbers;
  2. interpret employment, unemployment, inflation, output, and wage measures using their definitions and denominators;
  3. identify how aggregation and classification affect a macroeconomic statistic;
  4. describe why data vintages and revisions matter; and
  5. state what an observed relationship can and cannot establish.

A number and a question

In July 2026, the US headline unemployment rate was 4.1 percent (U.S. Bureau of Labor Statistics 2026). That number is compact, but its meaning depends on several choices: Who counts as employed? Who counts as actively searching? Who is included in the denominator?

The unemployment rate is the number of unemployed people divided by the labor force. It does not divide by the entire adult population. A person who wants a job but has stopped actively searching may therefore disappear from both the numerator and the denominator.

That is an example of an aggregation question. National statistics add individual classifications into totals, but the classifications and denominators shape the aggregate story.

Reading a long series

Figure 1.1 shows the monthly US unemployment rate since 2000, using a pinned snapshot of the FRED series UNRATE.

Figure 1.1: A line chart of the seasonally adjusted US unemployment rate from January 2000 through July 2026. The rate rises during the 2001 and 2007–09 downturns, spikes to 14.8 percent in April 2020, and later declines to around four percent.

The figure describes changes in a measured rate. It does not, by itself, identify why unemployment changed or show the experience of every group. Those questions require other data and a model of the relevant mechanism.

TipData Extension 1.1

Open the series metadata and identify its units, frequency, seasonal adjustment, and denominator. Then explain one claim the graph supports and one causal claim it cannot establish.

Exercise 1.1: Reading a labor-market statistic

Suppose a country reports 165 million employed people, 7 million unemployed people, and 98 million adults outside the labor force.

  1. Calculate the labor force.
  2. Calculate the unemployment rate to one decimal place.
  3. Explain why the 98 million adults outside the labor force are not included in the denominator.
  4. Describe one change that could lower the measured unemployment rate without increasing employment.

The approved model solution is held in the restricted instructor-materials area. It is not published by the site build.

Pilot glossary

Chapter 1 terms

unemployment rate

The percentage of the labor force that is without a job, is available for work, and has actively sought work.

Pilot check-your-understanding questions

Question 1.1. The number of unemployed people is unchanged, but some employed people leave the labor force. What happens to the unemployment rate, other things equal?
  1. It rises — Correct. Correct. The numerator is unchanged while the labor-force denominator falls.
  2. It falls — Incorrect. The numerator does not fall; the denominator becomes smaller.
  3. It is unchanged — Incorrect. A smaller denominator raises the ratio when the numerator is unchanged.
  4. There is not enough information — Incorrect. The direction follows from the stated change in the denominator.
Question 1.2. Which statement is supported by a rise in the headline unemployment rate alone?
  1. A larger share of the labor force is classified as unemployed — Correct. Correct. This is what the rate directly measures.
  2. Every unemployed person lost a job that month — Incorrect. People can enter unemployment from outside the labor force as well as from employment.
  3. The employment-to-population ratio must have fallen by the same amount — Incorrect. The measures use different denominators and need not move one-for-one.
  4. The rise was caused by a recession — Incorrect. The rate alone describes a change; it does not identify its cause.
Question 1.3. Why does the ordinary site build use a pinned FRED snapshot?
  1. To prevent students from seeing new data — Incorrect. The purpose is reproducibility, not restricting access to updated data.
  2. To ensure the same release can be rebuilt even after the live series changes — Correct. Correct. The snapshot and checksum preserve the exact published inputs.
  3. Because FRED series never receive revisions — Incorrect. Some economic series are revised, which is one reason vintages matter.
  4. Because R cannot request data from an API — Incorrect. R can request APIs; live retrieval is separated from ordinary builds deliberately.

Pilot flashcards

What is the denominator of the unemployment rate?

The labor force—the number of people classified as employed or unemployed.

Why can the unemployment rate fall without more people finding jobs?

Some people may stop actively searching and leave the measured labor force, reducing both unemployment and the denominator.

What makes a pinned data snapshot reproducible?

It records the exact observations, access date or vintage, source definition, and checksum used for the published result.

Seeing the principles in action

Principle Example Everyday Economics
People choose among feasible alternatives Searching for work takes time and resources, and workers differ in the options available to them. A worker decides whether another week of search is feasible given savings, benefits, and family obligations.
Choices interact and outcomes adjust Firms’ hiring choices and workers’ search choices jointly affect employment and unemployment. A local employer’s hiring freeze changes the options facing many job seekers.
Rules and institutions shape choices and outcomes Statistical definitions, unemployment insurance, and labor-market rules affect behavior and measurement. Eligibility rules can change the support available while someone searches.
Power affects options, bargaining, and distribution Workers with fewer outside options may accept lower pay or worse conditions. The ability to wait for a better offer differs across households.
Evidence helps us evaluate explanations — focal Labor-market series help test claims, provided we read definitions and denominators. A headline rate is a starting point, not a complete diagnosis.
Economies change through innovation, policy, and collective action New technologies, public policy, and organizing can alter which jobs exist and who can obtain them. Remote work changed the feasible job set for some workers but not others.
Individual actions may create adding-up constraints and feedback — focal Individual labor-force classifications aggregate into national rates; a change in participation can move the rate without a change in employment. If many discouraged workers stop searching, the headline unemployment rate can fall while their situation has not improved.
U.S. Bureau of Labor Statistics. 2026. Unemployment Rate [UNRATE]. FRED, Federal Reserve Bank of St. Louis. https://fred.stlouisfed.org/series/UNRATE.