Savage's subjective expected utility model
In decision theory, Savage's subjective expected utility model (also known as Savage's framework, Savage's axioms, or Savage's representation theorem) is a formalization of subjective expected utility (SEU) developed by Leonard J. Savage in his 1954 book The Foundations of Statistics,[1] based on previous work by Ramsey,[2] von Neumann [3] and de Finetti.[4]
Savage's model concerns with deriving a subjective probability distribution and a utility function such that an agent's choice under uncertainty can be represented via expected-utility maximization. His contributions to the theory of SEU consist of formalizing a framework under which such problem is well-posed, and deriving conditions for its positive solution.
Primitives and problem
[edit ]Savage's framework posits the following primitives to represent an agent's choice under uncertainty:[1]
- A set of states of the world {\displaystyle \Omega }, of which only one {\displaystyle \omega \in \Omega } is true. The agent does not know the true {\displaystyle \omega }, so {\displaystyle \Omega } represents something about which the agent is uncertain.
- A set of consequences {\displaystyle X}: consequences are the objects from which the agent derives utility.
- A set of acts {\displaystyle F}: acts are functions {\displaystyle f:\Omega \rightarrow X} which map unknown states of the world {\displaystyle \omega \in \Omega } to tangible consequences {\displaystyle x\in X}.
- A preference relation {\displaystyle \succsim } over acts in {\displaystyle F}: we write {\displaystyle f\succsim g} to represent the scenario where, when only able to choose between {\displaystyle f,g\in F}, the agent (weakly) prefers to choose act {\displaystyle f}. The strict preference {\displaystyle f\succ g} means that {\displaystyle f\succsim g} but it does not hold that {\displaystyle g\succsim f}.
The model thus deals with conditions over the primitives {\displaystyle (\Omega ,X,F,\succsim )}—in particular, over preferences {\displaystyle \succsim }—such that one can represent the agent's preferences via expected-utility with respect to some subjective probability over the states {\displaystyle \Omega }: i.e., there exists a subjective probability distribution {\displaystyle p\in \Delta (\Omega )} and a utility function {\displaystyle u:X\rightarrow \mathbb {R} } such that
- {\displaystyle f\succsim g\iff \mathop {\mathbb {E} } _{\omega \sim p}[u(f(\omega ))]\geq \mathop {\mathbb {E} } _{\omega \sim p}[u(g(\omega ))],}
where {\displaystyle \mathop {\mathbb {E} } _{\omega \sim p}[u(f(\omega ))]:=\int _{\Omega }u(f(\omega )){\text{d}}p(\omega )}.
The idea of the problem is to find conditions under which the agent can be thought of choosing among acts {\displaystyle f\in F} as if he considered only 1) his subjective probability of each state {\displaystyle \omega \in \Omega } and 2) the utility he derives from consequence {\displaystyle f(\omega )} given at each state.
Axioms
[edit ]Savage posits the following axioms regarding {\displaystyle \succsim }:[1] [5]
- P1 (Preference relation) : the relation {\displaystyle \succsim } is complete (for all {\displaystyle f,g\in F}, it's true that {\displaystyle f\succsim g} or {\displaystyle g\succsim f}) and transitive.
- P2 (Sure-thing Principle)[nb 1] : for any acts {\displaystyle f,g\in F}, let {\displaystyle f_{E}g} be the act that gives consequence {\displaystyle f(\omega )} if {\displaystyle \omega \in E} and {\displaystyle g(\omega )} if {\displaystyle \omega \notin E}. Then for any event {\displaystyle E\subset \Omega } and any acts {\displaystyle f,g,h,h'\in F}, the following holds:
- {\displaystyle f_{E}h\succsim g_{E}h\implies f_{E}h'\succsim g_{E}h'.}
In words: if you prefer act {\displaystyle f} to act {\displaystyle g} whether the event {\displaystyle E} happens or not, then it does not matter the consequence when {\displaystyle E} does not happen.
An event {\displaystyle E\subset \Omega } is nonnull if the agent has preferences over consequences when {\displaystyle E} happens: i.e., there exist {\displaystyle f,g,h\in F} such that {\displaystyle f_{E}h\succ g_{E}h}.
- P3 (Monotonicity in consequences): let {\displaystyle f\equiv x} and {\displaystyle g\equiv y} be constant acts. Then {\displaystyle f\succsim g} if and only if {\displaystyle f_{E}h\succsim g_{E}h} for all nonnull events {\displaystyle E}.
- P4 (Independence of beliefs from tastes): for all events {\displaystyle E,E'\subset \Omega } and constant acts {\displaystyle f\equiv x}, {\displaystyle g\equiv y}, {\displaystyle f'\equiv x'}, {\displaystyle g'\equiv y'} such that {\displaystyle f\succ g} and {\displaystyle f'\succ g'}, it holds that
- {\displaystyle f_{E}g\succsim f_{E'}g\iff f'_{E}g'\succsim f'_{E'}g'}.
- P5 (Non-triviality): there exist acts {\displaystyle f,f'\in F} such that {\displaystyle f\succ f'}.
- P6 (Continuity in events): For all acts {\displaystyle f,g,h\in F} such that {\displaystyle f\succ g}, there is a finite partition {\displaystyle (E_{i})_{i=1}^{n}} of {\displaystyle \Omega } such that {\displaystyle f\succ g_{E_{i}}h} and {\displaystyle h_{E_{i}}f\succ g} for all {\displaystyle i\leq n}.
The final axiom is more technical, and of importance only when {\displaystyle X} is infinite. For any {\displaystyle E\subset \Omega }, let {\displaystyle \succsim _{E}} be the restriction of {\displaystyle \succsim } to {\displaystyle E}. For any act {\displaystyle f\in F} and state {\displaystyle \omega \in \Omega }, let {\displaystyle f_{\omega }\equiv f(\omega )} be the constant act with value {\displaystyle f(\omega )}.
- P7: For all acts {\displaystyle f,g,\in F} and events {\displaystyle E\subset \Omega }, we have
- {\displaystyle f\succsim _{E}g_{\omega }{\text{ }}\forall \omega \in E\implies f\succsim _{E}g},
- {\displaystyle f_{\omega }\succsim _{E}g{\text{ }}\forall \omega \in E\implies f\succsim _{E}g}.
Savage's representation theorem
[edit ]Theorem: Given an environment {\displaystyle (\Omega ,X,F,\succsim )} as defined above with {\displaystyle X} finite, the following are equivalent:
1) {\displaystyle \succsim } satisfies axioms P1-P6.
2) there exists a non-atomic, finitely additive probability measure {\displaystyle p\in \Delta (\Omega )} defined on {\displaystyle 2^{\Omega }} and a nonconstant function {\displaystyle u:X\rightarrow \mathbb {R} } such that, for all {\displaystyle f,g\in F},
- {\displaystyle f\succsim g\iff \mathop {\mathbb {E} } _{\omega \sim p}[u(f(\omega ))]\geq \mathop {\mathbb {E} } _{\omega \sim p}[u(g(\omega ))].}
For infinite {\displaystyle X}, one needs axiom P7. This inclusion makes P3 redundant.[8] Furthermore, in both cases, the probability measure {\displaystyle p} is unique and the function {\displaystyle u} is unique up to positive linear transformations.[1] [6]
See also
[edit ]Notes
[edit ]- ^ Referring to axiom P2 as the sure-thing principle is the most common usage of the term,[6] but Savage originally referred to the concept as P2 in conjunction with P3 and P7,[1] and some authors refer to it just as P7.[7]
References
[edit ]- ^ a b c d e Savage, Leonard J. (1954). The Foundations of Statistics. New York: John Wiley & Sons.
- ^ Ramsey, Frank (1931). "Chapter 4: Truth and Probability". In Braithwaite, R. B. (ed.). The Foundations of Mathematics and Other Logical Essays. London: Kegan Paul, Trench, Trubner, & Co.
- ^ von Neumann, John; Morgenstern, Oskar (1944). Theory of Games and Economic Behavior. Princeton University Press. ISBN 978-0691130613.
{{cite book}}: ISBN / Date incompatibility (help) - ^ de Finetti, Bruno (1937). "La prévision : ses lois logiques, ses sources subjectives". Annales de l'Institut Henri Poincaré. 7 (1): 1–68.
- ^ Abdellaoui, Mohammed; Wakker, Peter (2020). "Savage for dummies and experts". Journal of Economic Theory. 186 (C). doi:10.1016/j.jet.2020.104991. hdl:1765/123833 .
- ^ a b Gilboa, Itzhak (2009). Theory of Decision under Uncertainty. New York: Cambridge University Press. ISBN 978-0521741231.
- ^ Kreps, David (1988). Notes on the Theory of Choice. Westview Press. ISBN 978-0813375533.
- ^ Hartmann, Lorenz. "Savage's P3 is Redundant." Econometrica, vol. 88, .no 1, Econometric Society, 2020, pp. 203-205, https://doi.org/10.3982/ECTA17428