experimental economics

experimental economics is a branch of economics that uses controlled, laboratory-based experiments to study economic behavior and test the predictions of economic theories. It applies the scientific method to economic questions, creating data through designed interactions among human subjects, often using monetary incentives. The field has grown to address a wide array of topics, from individual decision-making to the performance of complex market institutions, providing empirical foundations for both microeconomics and areas of macroeconomics.

Definition and scope

The core activity involves recruiting participants, frequently students from places like the University of Arizona or the California Institute of Technology, to make decisions in a controlled environment for real monetary payoffs. This scope extends from testing basic axioms of expected utility theory to examining the dynamics of auction formats, the emergence of cooperation in public goods games, and the efficiency of different market microstructure rules. It provides empirical insights into phenomena like bargaining, contract design, and the role of information asymmetry, bridging theoretical models with observable human behavior.

Historical development

The origins are often traced to the mid-20th century work of individuals like Edward Chamberlin, who conducted informal classroom market experiments at Harvard University. However, Vernon Smith is widely credited with establishing the modern discipline through his pioneering laboratory experiments on market mechanisms in the 1960s, work for which he later shared the Nobel Memorial Prize in Economic Sciences in 2002. Concurrently, Daniel Kahneman and Amos Tversky used experimental methods to document systematic deviations from rational choice, founding behavioral economics and earning Kahneman a Nobel in 2002. The founding of dedicated laboratories, such as those at the University of Pittsburgh and later the Economic Science Association, institutionalized the field.

Key methodologies

Central to the approach is the use of salient monetary incentives, where participants' earnings depend directly on their decisions, aligning their motives with the theoretical incentives of the model. Protocols emphasize strict anonymity and neutral framing of instructions to control for extraneous social factors. Common tools include computerized platforms for conducting double auctions, ultimatum games, and trust games. Researchers meticulously design treatments to isolate causal effects, a practice honed at centers like the Laboratory for Economic and Decision Research at the University of California, Berkeley.

Major findings and applications

Significant results include the demonstration that many markets converge efficiently to competitive equilibrium even with few traders, a finding robust across studies at institutions like the University of Iowa. Experiments have consistently shown systematic violations of pure self-interest, such as tendencies toward fairness in the ultimatum game and reciprocity in the trust game. These insights have directly influenced the design of real-world institutions, most notably in the formulation of spectrum auctions by the Federal Communications Commission, advised by experimentalists like Charles Plott. Findings on asset bubble formation in laboratory settings have informed regulatory perspectives at bodies like the Securities and Exchange Commission.

Criticisms and limitations

A primary critique, voiced by scholars such as Steven Levitt, questions the external validity of results from often homogeneous student subject pools in artificial lab settings. Some theorists argue that the high-stakes, complex environments of real financial markets may not be captured. Concerns also exist about the potential for experimenter demand effects, where subjects might try to conform to perceived expectations. Furthermore, the replicability of certain behavioral findings has been a topic of debate within the broader social science community.

Relationship to other fields

It shares a deeply symbiotic relationship with behavioral economics, which frequently employs experimental methods to study cognitive biases, a tradition advanced by the Russell Sage Foundation. It also intersects with game theory, providing empirical tests for concepts like Nash equilibrium developed by John Nash. The methodology has been adopted in related disciplines such as political science, to study voting systems, and in psychology, particularly through the work of Daniel Kahneman. Its techniques also inform the growing field of neuroeconomics, which uses tools from neuroscience to study brain activity during economic decision tasks.

Category:Economics