Prescriptive economics in the context of "Statistical decision theory"

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⭐ Core Definition: Prescriptive economics

In the philosophy of economics, economics is often divided into positive (or descriptive) and normative (or prescriptive) economics. Positive economics focuses on the description, quantification and explanation of economic phenomena, while normative economics discusses prescriptions for what actions individuals or societies should or should not take.

The positive-normative distinction is related to the subjective-objective and fact-value distinctions in philosophy. However, the two are not the same. Branches of normative economics such as social choice, game theory, and decision theory typically emphasize the study of prescriptive facts, such as mathematical prescriptions for what constitutes rational or irrational behavior (with irrationality identified by testing beliefs for self-contradiction). Economics also often involves the use of objective normative analyses (such as cost–benefit analyses) that try to identify the best decision to take, given a set of assumptions about value (which may be taken from policymakers or the public).

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Prescriptive economics in the context of Choice under uncertainty

Decision theory or the theory of rational choice is a branch of probability, economics, and analytic philosophy that uses expected utility and probability to model how individuals would behave rationally under uncertainty. It differs from the cognitive and behavioral sciences in that it is mainly prescriptive and concerned with identifying optimal decisions for a rational agent, rather than describing how people actually make decisions. Despite this, the field is important to the study of real human behavior by social scientists, as it lays the foundations to mathematically model and analyze individuals in fields such as sociology, economics, criminology, cognitive science, moral philosophy and political science.

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