2002 Nobel Memorial Prize in Economic Sciences
Reason for Award
for pioneering contributions to behavioural economics and experimental economics by integrating psychological insights into economic science and by establishing laboratory experiments as a fundamental tool for studying market mechanisms
Laureates
United States of America, 
Israel
United States of America
Explanation
People often think they calculate carefully when they buy or sell something, but their feelings matter a lot. Daniel Kahneman studied how fear of losses and hope for gains change decisions and brought psychology into economics. Vernon Smith turned classrooms into small markets, letting volunteers trade with real money and watching what prices they accepted. Together they showed that people do not always compute perfectly and that the desire to avoid losses is very strong. Their discoveries help design store sales, internet auctions, and many other everyday markets. They teach us that shopping is driven by both numbers and emotions.
Related Keywords
behavioral economics
Behavioral economics incorporates psychological findings to explain economic phenomena under the assumption that people are not perfectly rational and are influenced by emotions and heuristics. It modifies the standard utility-maximization model by adding loss aversion, present bias, social preferences, and other factors. The field informs public policy through "nudge" interventions and guides firms in pricing and advertising. It also sheds light on phenomena that standard theory struggles to explain, such as asset bubbles and investor over-reaction. Recently it has merged with neuroscience and big-data analytics to build even richer models.
experimental economics
Experimental economics uses controlled laboratory (and increasingly field) settings with monetary incentives to test and refine economic theory. Because information and rules can be precisely specified, causal relationships are easier to identify. Smith’s induced-value method lets experimenters control private values, enabling clean comparisons with theory. The approach has been applied to auction design, public-good provision, cooperation games, and many other topics, influencing real-world institutions. It is now expanding to large-scale field and online experiments.
prospect theory
Prospect theory modifies expected-utility theory by positing that people are more sensitive to losses than to equivalent gains and evaluate outcomes relative to a reference point. Its value function is S-shaped, steeper on the loss side, capturing loss aversion. Probabilities are weighted non-linearly, leading to overweighting of small probabilities and underweighting of large ones. The model explains insurance uptake, lottery play, framing effects, and many other behaviours. Its cumulative version is now embedded in finance and other applied models.
heuristics and biases
Heuristics are mental shortcuts such as representativeness, availability, and anchoring that speed up complex judgments but create systematic biases. Kahneman and Tversky quantified these biases, showing misjudgements of sample size, misperception of probabilities, and other errors. Biases contribute to investor overconfidence and managerial mistakes, motivating debiasing efforts in education and policy. Neuroscience is beginning to map these biases to specific brain regions. Understanding heuristics helps economists and psychologists predict and improve decision-making.
loss aversion
Loss aversion is the tendency for people to experience the pain of a loss more intensely than the pleasure of an equivalent gain. Experiments typically estimate the weight on losses to be about twice that on gains. It explains delayed selling of losing stocks, consumer backlash to price increases, and more. Policymakers exploit it by framing outcomes as losses—for example, emphasising wasted energy to encourage conservation. Loss aversion is a key parameter in finance, marketing, and health behaviour research.
induced value method
The induced value method assigns artificial private values to participants and ties payoffs to those values so that maximizing earnings aligns with a researcher-specified utility function. This neutralises pre-existing preferences and allows rigorous comparison between theory and behaviour. Smith used it to enhance replicability of market experiments and to test convergence to equilibrium and efficiency. The method has been applied to public-good and voting-mechanism experiments, enabling evaluation of incentive-compatible designs.
market mechanism design
Market mechanism design crafts trading rules and information structures to achieve goals such as efficiency, fairness, or revenue maximization. Wind-tunnel experiments in experimental economics test proposed rules before deployment; Smith’s work influenced electricity markets, spectrum auctions, and airport-slot allocation. The field empirically measures equilibrium attainment and welfare effects, lowering the cost of policy failures. Coupled with algorithms, mechanism design now applies to online advertising, blockchain trading, and more.
auction theory
Auction theory analyses how bidding formats and rules affect prices, seller revenue, and allocative efficiency. English, Dutch, first-price sealed-bid, and second-price sealed-bid auctions are classic formats, and the revenue-equivalence theorem links their expected outcomes. Smith’s experiments showed conditions under which equivalence breaks down and highlighted roles for information and bidder numbers. Insights guide government spectrum sales and online-auction platform design. Behavioural economics complements the theory by explaining how risk attitudes and loss aversion distort bidding behaviour.