Universal
Overview of Preferences and Choices
Microeconomic analysis begins with the modeling of individual decision-making, where an agent selects from a given set of feasible alternatives. The foundational framework relies on formalizing preferences over a set , representing the collection of all conceivable choices or consumption bundles.
Decision theory separates the underlying preferences of an individual from their observed choices. Preferences represent subjective evaluations and rankings of alternatives, whereas choice rules describe the empirical selection of options from specific feasible sets or menus.
Preference Relations and Binary Relations
An individual's preferences over a set are formalized using a binary relation denoted by . The expression is read as alternative is weakly preferred to alternative , meaning that the decision-maker considers to be at least as desirable as .
From the weak preference relation , two secondary binary relations are derived:
Strict Preference (): Alternative is strictly preferred to alternative , denoted , if and only if and it is not the case that . This indicates that the decision-maker strictly prefers over y$.\n- Indifference (\simxyx \sim yx \succeq yy \succeq x. This indicates that the decision-maker views both options as equally desirable.\n\n# Axioms of Rational Choice\n\nTo establish logical consistency and structure in decision-making, preferences are required to satisfy specific behavioral axioms. A preference relation \succeq is defined as rational if it satisfies both completeness and transitivity.\n\n- Completeness: For any two alternatives x, y \in Xx \succeq yy \succeq xX$.
Transitivity: For any three alternatives , if and , then . Transitivity prevents preference cycles (such as , , and ), ensuring internal consistency in decision-making.
Reflexivity: For any alternative , . Any alternative is always at least as desirable as itself. Reflexivity is implicitly satisfied under completeness.
Utility Functions and Representation
A utility function is a real-valued function that assigns a numerical value to each alternative in . A utility function represents a preference relation if, for all alternatives :
The existence of a utility function simplifies choice analysis by transforming preference comparisons into real-number comparisons:
Ordinal Nature: Utility functions in basic choice theory are ordinal. The specific numerical values assigned to alternatives carry no absolute intrinsic meaning; only the relative ranking of the values matters.
Strictly Monotonic Transformations: If is a utility function representing , and is a strictly increasing function, then the composite function also represents the exact same preference relation .
Representation Theorems: If the choice set is finite or countably infinite, any rational preference relation can be represented by a utility function. For uncountably infinite sets, such as continuous consumption spaces , an additional requirement of preference continuity is necessary to guarantee representation (Debreu Representation Theorem).
Choice Functions and Revealed Preference
While preference relations describe internal rankings, choice functions describe observable behavior. Let be a collection of non-empty subsets of , where each subset represents a menu of available alternatives.
Choice Function: A choice function assigns to every menu a non-empty subset of chosen alternatives, such that .
Preference Rationalizability: A choice function is rationalized by a binary preference relation if, for every available menu :
Weak Axiom of Revealed Preference (WARP): Choice behavior satisfies WARP if, for any two alternatives and menus containing both and , if and , then implies . Satisfying WARP ensures that observed choice behavior can be modeled as the maximization of a rational preference relation.