utilityvary
Utilityvary is a conceptual construct used in decision theory and behavioral economics to describe the responsiveness of an individual's utility to changes in outcomes, context, or attributes of a choice problem. The term is used to capture variability in how people evaluate options across situations, beyond fixed preference orderings.
In formal models, utilityvary is represented as the derivative or elasticity of the utility function with respect
Applications include pricing and welfare analysis under context effects, adaptive preferences, and algorithmic decision-making where agents'
Estimation typically relies on experimental or observational data, using regression, structural models, or machine learning to
Related concepts include context effects, preference learning, risk aversion, and elasticity of substitution. The concept is