Experimental economics: Economic and game theoretic principles in experimental research in the social sciences

Understanding individual and social decisions and how they are affected by the environment and institutional constraints is at the heart of the the social sciences. With the exception of psychology, traditionally in the social sciences empirical evidence is gathered via happenstance data. Such data are plagued with endogeneity problems and unobserved variables which make it difficult to draw causal inferences and reliably test theories. In the last thirtyyears laboratory experiments are increasingly adopted, especially in economics. Experimental economics research is often based on formal economic or game theoretical models with clear-cut rules which allow unambiguous inferences from changes in environmental variables.This model-based approach is tightly linked to two principles of experimental economics: the use of task related (monetary) incentives and the proscription of deception. Experimental economics plays an important role in theory and model falsification as well as in diggingup behavioral regularities in individual and interactive decision making. Research in experimental economics was instrumental in the development of new models of other-regarding preferences, boundedly rational reasoning, adaptive learning, and ‘noisy’ equilibrium models.The toolbox of economics experiments informs research in decision neuroscience and is also applied in many other fields of the social sciences. Undoubtedly, experimental economics will continue to challenge newly emerging models and suggest new theories of human behavior and keep on to significantly contribute to knowledge in the social sciences.

Netspar, Network for Studies on Pensions, Aging and Retirement, is a thinktank and knowledge network. Netspar is dedicated to promoting a wider understanding of the economic and social implications of pensions, aging and retirement in the Netherlands and Europe.

MORE ABOUT NETSPAR


Mission en strategy           •           Network           •           Organisation           •          Magazine
Board Brief            •            Actionplan 2023-2027           •           Researchagenda

ABOUT NETSPAR

Our partners

B20221103_Zwitserlevengrayscale
B20231704_PensioenFederatie_Blacklogo
B20231704_DNB_Blacklogo
B20160708_tilburg university
View all partners