A Behavioral Characterization of Plausible Priors

One of the last great novels of José Saramago, Death with Interruptions, begins with an epigraph taken from Ludwig Wittgenstein: “If, for example, you were to think more deeply about death, then it would be truly strange if, in so doing, you did not encounter new images, new linguistic fields”. The aim of my paper is to ponder on what kind of a new language game the Portuguese writer is offering us in his book and how to interpret his investigations from the angle of another contemporary literary and philosophical thanatological discourses.One of the last great novels of José Saramago, Death with Interruptions, begins with an epigraph taken from Ludwig Wittgenstein: “If, for example, you were to think more deeply about death, then it would be truly strange if, in so doing, you did not encounter new images, new linguistic fields”. The aim of my paper is to ponder on what kind of a new language game the Portuguese writer is offering us in his book and how to interpret his investigations from the angle of another contemporary literary and philosophical thanatological discourses

Vector Expected Utility and Attitudes toward Variation

This paper analyzes a model of decision under ambiguity, deemed vector expected utility or VEU. According to the proposed model, an act f, mapping states of nature to prizes, is evaluated via the sum of (1) a baseline expected-utility term, and (2) an ambiguity-adjustment term. The adjustment term may be interpreted as reflecting the variability of the act f around its baseline expected utility; in particular, like classical statistical measures of variability, it is invariant to location and sign changes. A behavioral characterization of the VEU model is provided. Furthermore, an updating rule for VEU preferences is proposed and characterized. The suggested updating rule facilitates the analysis of sophisticated dynamic choice with VEU preferences.ambiguity, reference prior, vector measures

Dynamic Choice Under Ambiguity

This paper analyzes sophisticated dynamic choice for ambiguity-sensitive decision makers. It characterizes Consistent Planning via axioms on preferences over decision trees. Furthermore, it shows how to elicit conditional preferences from prior preferences. The key axiom is a weakening of Dynamic Consistency, deemed Sophistication. The analysis accommodates arbitrary decision models and updating rules. Hence, the results indicate that (i) ambiguity attitudes, (ii) updating rules, and (iii) sophisticated dynamic choice are mutually orthogonal aspects of preferences. As an example, a characterization of prior-by-prior Bayesian updating and Consistent Planning for arbitrary maxmin-expected utility preferences is presented. The resulting sophisticated MEU preferences are then used to analyze the value of information under ambiguity; a basic trade-off between information acquisition and commitment is highlighted.

Dynamic choice under ambiguity

This paper analyzes dynamic choice for ambiguity-sensitive decision makers. It demonstrates that unambiguous behavioral predictions can be obtained, even in the face of dynamic inconsistency, by taking the individual's preferences over decision trees, rather than acts, as primitive. In particular, it leverages preferences over trees to formalize Sophistication as an assumption about the way individuals resolve conflicts between preferences at different decision points. The main result employs Sophistication to provide a behavioral characterization of Consistent Planning (Strotz, 1956). The analysis accommodates arbitrary decision models and updating rules, and delivers unambiguous welfare comparisons. As an example, a characterization of prior-by-prior Bayesian updating and Consistent Planning for arbitrary maxmin-expected utility preferences is presented. The resulting sophisticated MEU preferences are then used to analyze the value of information under ambiguity; a basic trade-off between information acquisition and commitment is highlighted.Ambiguity, consistent planning, value of information

A more robust definition of multiple priors

This paper provides a multiple-priors representation of ambiguous beliefs à la Ghirardato, Maccheroni, and Marinacci (2004) and Nehring (2002) for any preference that is (i) monotonic, (ii) Bernoullian, i.e. admits an affine utility representation when restricted to constant acts, and (iii) suitably continuous. Monotonicity is the main substantive assumption: we do not require either Certainty Independence or Uncertainty Aversion. We characterize the set of ambiguous beliefs in terms of Clarke-Rockafellar differentials. This allows us to provide an explicit calculation of the set of priors for several recent decision models: multiplier preferences, the smooth ambiguity model, the vector expected utility model, as well as confidence function, variational, general "uncertainty-averse" preferences, and mean-dispersion preferences.Multiple Priors; Upper and Lower Probabilities; Ambiguity; Monotonic Preferences

An Epistemic Characterisation of Extensive Form Rationalisability

We use an extensive form, universal type space to provide the following epistemic characterisation of extensive form rationalisability. Say that player i strongly believes event E if i is certain of E conditional on each of her information sets consistent with E. Our main contribution is to show that a strategy profile s is extensive form rationalisable if and only if there is a state in which s is played and (0) everybody is rational, (1) everybody strongly believes (0), (2) everybody strongly believes (0) & (1), (3) everybody strongly believes (0) & (1) & (2), .... This result also allows us to provide sufficient epistemic conditions for the backward induction outcome and to relate extensive form rationalisability and conditional common certainty of rationality.Rationalisability, Extensive Form Games

Parental Guidance and Supervised Learning

We propose a simple theoretical model of supervised learning that is potentially useful to interpret a number of empirical phenomena. The model captures a basic tradeoff between sheltering the child from the consequences of his mistakes, and allowing him to learn from experience. We characterize the optimal parenting policy and its comparative-statics properties. We then show that key features of the optimal policy can be useful to interpret provocative findings from behavioral genetics.

Efficient Sorting in a Dynamic Adverse Selection Model: The Hot Potato

We study the possibility of achieving efficiency in a dynamic adverse selection market for durable goods. The idea is to use the number of times a car has been traded (``vintage'') as a signal of its quality. Higher-valuation consumers experiment with younger vintages. We first exhibit an impossibility result: no choice of (re)sale prices can induce consumers to follow this experimentation policy. We then show that modified leasing contracts can be constructed so as to achieve efficiency if consumers are patient.

An Epistemic Characterization of Extensive Form Rationalizability

We use an extensive form, universal type space to provide the following epistemic characterisation of extensive form rationalisability. Say that player i strongly believes event E if i is certain of E conditional on each of her information sets consistent with E. Our main contribution is to show that a strategy profile s is extensive form rationalisable if and only if there is a state in which s is played and (0) everybody is rational, (1) everybody strongly believes (0), (2) everybody strongly believes (0) & (1), (3) everybody strongly believes (0) & (1) & (2), .... This result also allows us to provide sufficient epistemic conditions for the backward induction outcome and to relate extensive form rationalisability and conditional common certainty of rationality