Massimo Marinacci
Biographic Data
| ID | 9532259 |
|---|---|
| NAME | Massimo Marinacci |
| GIVEN NAMES | Massimo |
| FAMILY NAME | Marinacci |
| SIGNATURE | MARINACCI M |
| AFFILIATIONS | Bocconi University |
| ORCID | 0000-0002-0079-4176 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 0 |
David Schmeidler’s contributions to decision theory
On the cardinal utility equivalence of biseparable preferences
We establish a simple condition, based on the willingness to bet on events, under which two biseparable preferences have cardinally equivalent utilities
A framework for the analysis of self-confirming policies
This paper provides a general framework for analyzing self-confirming policies. We study self-confirming equilibria in recurrent decision problems with incomplete information about the true stochastic model. We characterize stationary monetary policies in a linear-quadratic setting
Law of demand and stochastic choice
We consider random choice rules that, by satisfying a weak form of Luce’s choice axiom, embody a form probabilistic rationality. We show that for this important class of stochastic choices, the law of demand for normal goods—arguably the main result of traditional consumer theory—continues to hold on average when strictly dominated alternatives are dismissed
A Smooth Model of Decision Making under Ambiguity
We propose and characterize a model of preferences over acts such that the decision maker prefers act f to act g if and only if E μ φ( E π u○f) ⩾ E μ φ( E π u○g), where E is the expectation operator, u is a von Neumann-Morgenstern utility function, φis an increasing transformation, and μis a subjective probability over the set Πof probability measures πthat the decision maker thinks are relevant given his subjective information. A key feature of …
No prominent works on this page.
A Smooth Model of Decision Making under Ambiguity
We propose and characterize a model of preferences over acts such that the decision maker prefers act f to act g if and only if E μ φ( E π u○f) ⩾ E μ φ( E π u○g), where E is the expectation operator, u is a von Neumann-Morgenstern utility function, φis an increasing transformation, and μis a subjective probability over the set Πof probability measures πthat the decision maker thinks are relevant given his subjective information. A key feature of …
David Schmeidler’s contributions to decision theory
On the cardinal utility equivalence of biseparable preferences
We establish a simple condition, based on the willingness to bet on events, under which two biseparable preferences have cardinally equivalent utilities
A framework for the analysis of self-confirming policies
This paper provides a general framework for analyzing self-confirming policies. We study self-confirming equilibria in recurrent decision problems with incomplete information about the true stochastic model. We characterize stationary monetary policies in a linear-quadratic setting
Law of demand and stochastic choice
We consider random choice rules that, by satisfying a weak form of Luce’s choice axiom, embody a form probabilistic rationality. We show that for this important class of stochastic choices, the law of demand for normal goods—arguably the main result of traditional consumer theory—continues to hold on average when strictly dominated alternatives are dismissed
Mathematical economics (5 works) · Economic theories and models (4 works) · Economics (4 works) · Mathematics (4 works) · Computer Science (3 works) · Decision-Making and Behavioral Economics (3 works) · Statistics (2 works) · Ambiguity (1 work) · Artificial Intelligence (1 work) · Axiom (1 work)