What Is Experimental Economics and How Does It Work?
Discover how experimental economics uses controlled studies to scientifically test theories and understand human economic behavior.
Discover how experimental economics uses controlled studies to scientifically test theories and understand human economic behavior.
Experimental economics applies scientific methods to study economic questions within controlled environments. Rather than relying solely on mathematical models or observational data, experimental economics creates simplified, yet realistic, scenarios to observe human decision-making. This approach allows researchers to gain insights into complex economic behavior and evaluate the effectiveness of different economic policies before they are implemented in the real world.
The discipline provides a way to directly observe how individuals and groups respond to incentives and rules. Vernon Smith, a pioneer in the field, was awarded the Nobel Prize in Economic Sciences in 2002 for establishing laboratory experiments as a method for empirical economic analysis. This scientific approach helps to bridge the gap between theoretical predictions and actual human behavior.
A fundamental principle in experimental economics is control, which involves manipulating specific variables while holding others constant. This allows researchers to isolate the cause-and-effect relationships between economic factors and participant behavior. Experiments are typically conducted in laboratory settings to minimize external influences and create a clean environment for testing hypotheses. This controlled environment helps neutralize unobserved variables that could otherwise bias analysis.
Incentives are another defining characteristic, ensuring that participants’ decisions have real financial consequences. These payments are designed to be “salient,” meaning they vary with the outcomes of the experiment, providing a direct link between actions and rewards. This financial motivation encourages participants to make decisions that reflect their genuine preferences and strategies, similar to how they might behave in the real world.
Replication is also a cornerstone of experimental methodology. The ability to repeat an experiment under identical conditions helps verify the reliability and robustness of the findings. This emphasis on repeatability builds confidence in the experimental results and their implications for economic theory.
Systematic data collection is integral to every experimental study. Observations are meticulously recorded, often using specialized software, to capture every decision and outcome during the experiment. This detailed data allows for quantitative analysis, providing empirical evidence to support or refute economic theories.
Market experiments, for example, explore how supply and demand interact to determine prices and quantities. Researchers design scenarios that simulate real-world markets, such as double auctions, to observe how participants behave as buyers and sellers and how prices converge to equilibrium. These experiments provide insight into the efficiency of different market designs and the impact of various trading rules.
Public goods experiments examine situations where individuals must decide whether to contribute to a collective good that benefits everyone, even those who do not contribute. The “public goods game” is a common setup, where participants contribute tokens to a shared pot, which is then multiplied and distributed equally among all players. This game helps researchers understand free-riding behavior, cooperation, and the factors that encourage or discourage contributions to shared resources. Findings from these experiments can inform policies related to environmental protection or public infrastructure.
Bargaining experiments delve into how individuals negotiate and reach agreements when dividing resources. The “ultimatum game” is a widely used experiment where one player, the proposer, offers a split of a sum of money to a second player, the responder. The responder can either accept the offer, in which case the money is split as proposed, or reject it, resulting in neither player receiving anything. This game reveals insights into fairness, self-interest, and the willingness of individuals to reject financially beneficial offers they perceive as unfair.
A variation of the ultimatum game is the “dictator game,” where one player, the dictator, decides how to divide a sum of money with a second, passive player, who has no power to reject the offer. Unlike the ultimatum game, the dictator game removes the strategic element of rejection, providing a clearer look at altruism and fairness. Experiments in individual decision-making under uncertainty explore how people make choices when outcomes are not certain, often revealing biases in risk preferences or cognitive shortcuts.
Subject recruitment is the first step. Participants are often drawn from university student populations, although general population samples are also utilized, depending on the research question. Recruitment typically occurs through online platforms, campus advertisements, or direct invitations, with participants usually compensated for their time and decisions.
Laboratory experiments, conducted in dedicated computer labs, offer the highest degree of control over external factors. Field experiments take place in natural settings, observing behavior in real-world contexts, while online platforms allow for broader subject pools and remote participation.
Sessions usually begin with detailed, neutral instructions, often read aloud and provided in written format, explaining the rules and potential payoffs without leading participants. This is often followed by practice rounds where participants can familiarize themselves with the experimental interface and decision-making process without affecting their actual earnings.
After practice, the actual decision-making rounds commence, during which participants engage in the economic tasks designed by the researchers. Throughout the experiment, specialized software manages the interactions, records decisions, and calculates payoffs. At the conclusion of the experiment, participants receive their earnings, which are typically paid in cash or through electronic transfer, based on their performance and decisions throughout the session.