We model a boundedly rational agent who su¤ers from limited attention. The agent considers each feasible alternative with a given (unobservable) probability, the attention parameter, and then chooses the alternative that maximises a prefer-ence relation within the set of considered alternatives. We show that this random choice rule is the only one for which the impact of removing an alternative on the choice probability of any other alternative is asymmetric and menu independent. Both the preference relation and the attention parameters are identi\u85ed uniquely by stochastic choice data. J.E.L. codes: D0
In this paper we study identification and inference of preference parameters in a single-agent, stat...
International audienceIt is shown that preferences can be constructed from observed choice behavior ...
Chapter 1 introduces and axiomatizes a new class of representations for incomplete preferences calle...
We model a boundedly rational agent who suffers from limited attention. The agent considers each fea...
We model a boundedly rational agent who suffers from limited attention. The agent considers each fe...
We study stochastic choice as the outcome of deliberate randomization. We derive a general represent...
We generalize the stochastic revealed preference methodology of McFadden and Richter (1990) for fini...
We generalize the stochastic revealed preference methodology of McFadden and Richter (1990) for fini...
The random utility model (RUM, McFadden and Richter, 1990) has been the standard tool to describe th...
Abstract: This paper discusses the problem of specifying probabilistic models for choices (strategie...
We develop an axiomatic theory of random choice that builds on Luce’s (1959) model to incorporate a ...
Perturbed utility functions—the sum of expected utility and a nonlinear perturbation function—provid...
A Decision Maker (DM) must choose at discrete moments from a finite set of actions that result in ra...
Satisficing is a hugely influential model of boundedly rational choice, yet it cannot be easily test...
This paper presents an experimental study of the random incentive mechanisms which are a standard pr...
In this paper we study identification and inference of preference parameters in a single-agent, stat...
International audienceIt is shown that preferences can be constructed from observed choice behavior ...
Chapter 1 introduces and axiomatizes a new class of representations for incomplete preferences calle...
We model a boundedly rational agent who suffers from limited attention. The agent considers each fea...
We model a boundedly rational agent who suffers from limited attention. The agent considers each fe...
We study stochastic choice as the outcome of deliberate randomization. We derive a general represent...
We generalize the stochastic revealed preference methodology of McFadden and Richter (1990) for fini...
We generalize the stochastic revealed preference methodology of McFadden and Richter (1990) for fini...
The random utility model (RUM, McFadden and Richter, 1990) has been the standard tool to describe th...
Abstract: This paper discusses the problem of specifying probabilistic models for choices (strategie...
We develop an axiomatic theory of random choice that builds on Luce’s (1959) model to incorporate a ...
Perturbed utility functions—the sum of expected utility and a nonlinear perturbation function—provid...
A Decision Maker (DM) must choose at discrete moments from a finite set of actions that result in ra...
Satisficing is a hugely influential model of boundedly rational choice, yet it cannot be easily test...
This paper presents an experimental study of the random incentive mechanisms which are a standard pr...
In this paper we study identification and inference of preference parameters in a single-agent, stat...
International audienceIt is shown that preferences can be constructed from observed choice behavior ...
Chapter 1 introduces and axiomatizes a new class of representations for incomplete preferences calle...