Preface

Why this book exists

Economics is the most consequential subject most college students take and the most poorly served by its textbooks.

Mankiw's Principles of Economics — the gold standard since 1997, sold over two million copies, used at hundreds of universities — costs $324 retail. The eBook is $69. Cengage's MindTap subscription, which most courses now require, is $154 on top of that. A single semester of Econ 101 can cost a student more than a textbook for a graduate seminar.

There is a free alternative. OpenStax has published Principles of Economics under a Creative Commons license, and many institutions have adopted it. By most accounts it is competent. By most accounts it is also dry, mechanical, and slightly behind on the topics students most want to discuss.

This book is the third option.

It is free, like OpenStax. It is intentionally written, like Mankiw — built to be readable on its own terms, not just adopted under cost pressure. And it is honest in ways that most introductory textbooks are not.

What "honest" means here

Economics has a reputation problem. Outside the field, people often perceive it as a discipline that has decided what it believes and is now trying to convince everyone else. Inside the field, professional economists often disagree more openly than most textbook writers admit. The IGM Forum at the University of Chicago has been polling top economists about contested questions for over a decade, and the results are often striking — not because economists agree on everything (they don't), but because the pattern of agreement and disagreement is more interesting than a textbook framing of "the economic consensus" allows.

This book takes that pattern seriously. Where a question is genuinely settled — most economists believe free trade increases total wealth, that rent control as written reduces housing supply, that some form of carbon pricing is the most efficient response to climate change — the book says so plainly and explains why. Where a question is not settled — the right level of the minimum wage, the size of fiscal multipliers, the role of government in the economy, the nature and causes of recent inflation — the book presents the disagreement honestly, names the major positions, walks through the evidence each side cites, and lets the reader make up their own mind.

The goal is not to teach you what to think. It is to give you the tools to think clearly about questions that matter, and the humility to recognize when intelligent people who have looked at the same evidence have come to different conclusions.

What "modern" means here

Mankiw's book has been updated ten times since 1997, but the structural choices are necessarily conservative. The chapter on behavioral economics is still the second-to-last chapter, treated as a footnote to a model that the rest of the book has already established. The treatment of climate economics is brief. The treatment of cryptocurrency, gig work, AI, and platform monopolies is necessarily limited by what fits into a textbook designed in the 1990s.

This book starts in 2025. Behavioral economics is integrated from Chapter 10 forward, not relegated to a sidebar — once you have learned that real humans exhibit loss aversion, present bias, and anchoring, you should apply that knowledge to every subsequent chapter, and the book is structured to make you do that. The treatment of climate change is its own chapter, not a paragraph. AI and labor markets get a full chapter. Cryptocurrency gets a full chapter. The economics of student debt and housing — the two financial pressures most defining of the under-40 American experience — get their own chapter. Development economics gets its own chapter, because a textbook for global readers cannot leave the world's poorest countries to a footnote in the growth chapter.

Modern doesn't mean trendy. It means refusing to teach a 2025 student with examples from 1995.

What "data-literate" means here

Economists have an enormous data infrastructure — FRED at the St. Louis Fed, the BLS, the BEA, the Census Bureau, the World Bank, the IMF, J-PAL — and most introductory students never learn to use any of it. They learn theory; they take it on faith that the data behind the theory exists; they graduate without ever opening a real economic dataset.

This book teaches you to read economic data as a core economic skill. Chapter 4 — How to Read Economic Data — is the chapter Mankiw doesn't have. It walks you through a real BLS jobs report, a real CPI release, a real FRED chart, and the most common ways economic data is misleadingly presented. From Chapter 5 forward, every chapter has a "Data Literacy" sidebar pointing you to the real series behind the chapter's claims and showing you how to look it up yourself.

By the end of the book, you should be able to fact-check a politician's economic claim before lunch.

What "interesting" means here

Economics can be the most fascinating subject in the world or the most boring. The difference is the writing. We have tried to write a book in which every chapter has a reason you should care about it, every model is built from a real example, every disagreement is treated as interesting rather than embarrassing, and the prose feels like it was written by someone who finds the subject endlessly absorbing.

Whether we have succeeded is for you to decide.

How the book is structured

Forty chapters, organized into nine content parts plus a capstone project.

• Parts I–IV are microeconomics: thinking like an economist, how markets work, when markets fail, and how firms behave.
• Parts V–VII are macroeconomics: measuring the economy, money and banking, and macroeconomic fluctuations and policy.
• Part VIII is the contemporary economics most other textbooks skip: development, technology, student debt and housing, cryptocurrency, and the question of what economics can and can't say about the good life.
• Part IX is two synthesis chapters: an honest map of where economists agree and disagree, and a closing chapter on how to use what you have learned.
• The capstone project runs across the entire book: Build an Economic Analysis of Your City — a 20–30 page final deliverable in which you apply each part of the book to a real place you know.

The book supports three learning paths:

• Econ 101 (Microeconomics). Parts I–IV. One semester. Skip Parts V–VII; you'll come back to them in Econ 102.
• Econ 102 (Macroeconomics). Part I + Parts V–VII. One semester. Some Econ 102 instructors also assign Part VIII's macro-relevant chapters (development, monetary economics in the crypto chapter, the contemporary inflation chapters).
• Combined Principles. All nine parts. One intensive semester or a two-semester sequence.

See How to Use This Book for more on the three paths and the recommended sequencing for each.

Four examples that thread through everything

Throughout the book, four examples recur often enough that you should expect to see them everywhere.

1. Millbrook is a fictional Midwestern college town of about 85,000 people, anchored by Millbrook State University. The town does not exist, but it is built from real data about places like Athens, Bloomington, Lawrence, and Carbondale. Millbrook is the laboratory for the capstone project: every chapter applies its lessons to some piece of Millbrook's economy, and your job — at the end of the book — is to do the same for a real place you know.
2. The 2008 financial crisis appears throughout the macroeconomic chapters. It is the most consequential macro event in most readers' adult-conscious memory, and it is the case study that makes monetary policy, fiscal policy, financial regulation, and the limits of economic forecasting concrete.
3. The minimum wage debate appears throughout the microeconomic chapters. It is the example we use to show how economics actually works as a discipline: theory predicts; evidence updates; reasonable economists still disagree.
4. The COVID economy is the most recent and most universally remembered economic event. It is a case study in simultaneous demand and supply shocks, in the largest fiscal response in history, in monetary policy at the zero lower bound, and in everything we still don't understand about the inflation surge that followed.

If you start to feel that one of these four is showing up too often, that is by design. Repetition is how learning happens. We would rather you encounter the 2008 crisis seven times in seven different chapters — each time with a different analytical lens — than once in a "case study" sidebar at the end of one chapter.

A note on what this book does not do

This book is not a substitute for an intermediate microeconomics or macroeconomics textbook. It does not use calculus. It does not derive the Solow growth model. It does not develop the IS-LM model formally. Where those tools are mentioned at all, they appear in optional sidebars labeled as previews of intermediate study.

This book is also not a textbook in mathematical economics, econometrics, or financial economics. Where those fields are relevant, the book points you toward them.

What this book does is teach you to think like an economist. The rest is up to you.

A final note before you begin

Economics is not about money. It is not about the stock market. It is not about how to get rich.

Economics is about how human beings make choices when they cannot have everything they want. That is a question every person on Earth answers many times every day. By the time you have finished this book, you will see economic choices everywhere — in your own decisions about studying or working or saving or spending, in your community's decisions about housing and zoning and schools, in your country's decisions about taxes and trade and money and policy.

You will not be an economist after reading this book. But you will be a person who thinks economically, which is much more useful and much more fun.

Let's begin.