Covers probability, expected value, risk, insurance, and uncertainty with everyday examples. These tools prepare you for risky decisions, gambling-like choices, and financial behavior.

Builds the evidence habits used in the field: variables, samples, correlations, averages, variation, and simple visual checks. You will practice turning messy behavior into claims that can be tested.

Covers attention, memory, emotion, perception, and mental effort as decision-making tools. This gives you the psychology foundation behind shortcuts, mistakes, and context effects.

Traces the field from early utility theory through Herbert Simon, Kahneman and Tversky, Thaler, experimental economics, nudge units, and today’s data-rich practice. The chapter shows how behavioral economics became part of policy, finance, marketing, and product design.

Covers expected utility theory, risk aversion, independence, and the puzzles that exposed its limits. You will see why a clean model can be powerful and still miss predictable human behavior.

Covers reference points, loss aversion, diminishing sensitivity, probability weighting, and the endowment effect. You will use prospect theory to explain choices involving prices, risk, ownership, and regret.

Covers anchoring, availability, representativeness, overconfidence, confirmation bias, and base-rate neglect. The focus is on when shortcuts help, when they mislead, and how to diagnose them in real situations.

Covers present bias, hyperbolic discounting, procrastination, commitment devices, habits, and temptation. You will analyze why people make plans they later abandon and how better systems support follow-through.

Covers mental accounts, sunk costs, payment pain, windfalls, budgeting rules, and the way labels shape spending. You will be able to explain why money is not always treated as fully interchangeable.

Covers salience, defaults, hassle costs, limited attention, reminders, and small barriers that change behavior. You will learn to spot hidden friction in forms, services, apps, and everyday routines.

Covers anger, fear, stress, hunger, mood, empathy gaps, and “hot” versus “cold” states. You will see how temporary states can shape choices that people later judge differently.

Covers fairness, reciprocity, trust, altruism, spite, public goods, and punishment. These ideas explain why people often care about more than their own payoff.

Covers social norms, identity, status, culture, belonging, and stigma. You will analyze how choices change when people care about who they are and how others see them.

Covers ultimatum games, dictator games, trust games, coordination, cooperation, and repeated interaction. You will use simple games to study real bargaining, teamwork, conflict, and reputation.

Shows how to turn a behavioral hunch into a clear research question, outcome measure, and prediction. You will practice writing hypotheses that connect a behavior, a mechanism, and a measurable result.

Covers lab experiments, incentives, random assignment, control groups, deception rules, and common tasks used in the field. You will design a small experiment that tests a behavioral mechanism cleanly.

Covers randomized controlled trials, A/B tests, field experiments, treatment effects, spillovers, and practical limits. You will learn how behavioral ideas are tested in workplaces, schools, apps, public services, and markets.

Covers natural experiments, difference-in-differences, regression discontinuity, instrumental variables, and matching at a beginner-friendly level. You will see how researchers make stronger causal claims when randomization is not possible.

Covers administrative records, transaction data, surveys, experience sampling, digital traces, and privacy risks. You will learn what each data source can reveal, what it can hide, and how measurement choices shape conclusions.

Covers preregistration, power, p-hacking, publication bias, failed replications, and transparent reporting. This modern evidence chapter helps you judge which behavioral findings are sturdy enough to use.

Covers structural models, parameters, estimation, simulations, and prediction. You will see how researchers combine behavioral theory with data to forecast choices under new policies or prices.

Covers defaults, framing, simplification, reminders, social comparison, active choice, and timely prompts. You will design choice environments that help people act on their own goals without removing options.

Covers incentives, mandates, education, service design, product rules, and enforcement alongside nudges. You will learn when a gentle prompt is too weak and when stronger tools are justified.

Covers welfare, autonomy, manipulation, consent, equity, dark patterns, and who gets to define a “better” choice. You will practice judging behavioral interventions before they are launched, not after harm appears.

Follows a real behavioral project from problem definition through diagnosis, evidence review, intervention design, testing, analysis, scaling, and follow-up. You will see how theory, data, ethics, and operations fit together in professional work.

Covers pricing, subscriptions, free trials, scarcity messages, reviews, shrouded fees, and consumer protection. You will analyze how firms shape buying decisions and where persuasion becomes exploitation.

Covers efficient markets, overreaction, bubbles, herding, disposition effects, retirement saving, and investor mistakes. You will connect behavioral theory to household finance, trading, and financial regulation.

Covers motivation, incentives, bonuses, goal setting, feedback, burnout, hiring, discrimination, and workplace culture. You will study why pay matters but rarely explains workplace behavior by itself.

Covers adherence, preventive care, vaccination, diet, exercise, addiction, medical decisions, and risk communication. You will design behaviorally informed supports for choices that affect health and safety.

Covers energy use, conservation, climate communication, public goods, social comparison, and green defaults. You will learn why environmental choices are hard and how policy can support long-term collective action.

Covers scarcity, bandwidth, debt, savings, cash transfers, financial inclusion, and development programs. You will see how poverty changes decision conditions and why blaming individual choices misses the system around them.

Covers attendance, studying, college completion, fines, crime prevention, tax compliance, and public benefits. You will practice applying behavioral tools to public systems where trust, paperwork, timing, and fairness matter.

Covers online choice environments, A/B testing at scale, recommender systems, feeds, notifications, ratings, platform incentives, and dark patterns. You will analyze how digital design can support users or quietly steer them away from their interests.

Covers segmentation, prediction, uplift modeling, personalization, and adaptive experiments without treating algorithms as magic. You will learn how machine learning changes behavioral practice and what it cannot replace.

Covers chatbots, AI assistants, automated advice, synthetic content, persuasion at scale, and human oversight. You will judge how AI changes consent, trust, manipulation risk, and the design of decision support.

Covers behavioral insights teams, policy labs, product teams, consulting work, academic paths, nonprofit roles, and evaluation units. You will plan proof-of-skill projects, reading habits, conferences, software skills, and credential paths for staying current in the field.