We provide an axiomatic approach to a belief formation process in an informational environment characterized by limited, heterogenous and differently precise information. For a list of previously observed cases an agent needs to express her belief by assigning probabilities to possible outcomes....

The random utility model (RUM, McFadden and Richter (1990)) has been the standard tool to describe the behavior of a population of decision makers. RUM assumes that decision makers behave as if they maximize a rational preference over a choice set. This assumption may fail when consideration of...

Our paper conducts laboratory experiments with the sequential search model to test whether participants engage in search activities in line with theoretical predictions derived from the expected utility model or the reference-dependent model, without assuming any specific formulation rule for a...

Many individuals have empathetic feelings towards animals but frequently consume meat. We investigate this "meat paradox" using insights from the literature on motivated reasoning in moral dilemmata. We develop a model where individuals form self-serving beliefs about the suffering of animals...

Today’s world faces many challenges that may be solved by using the principles of bioeconomy. Bioeconomy has had a multi-disciplinary approach with the objective of an integrated scope, namely, to achieve sustainable development. In a knowledge-based economy, the link between sustainable...

We analyse consumers' search and purchase decisions on an Internet platform. Using a rich dataset on all adverts posted and transactions made on a major French Internet platform (PriceMinister), we show evidence of substantial price dispersion among adverts for the same product. We also show...

This paper analyzes the effect of information overload on preference or aversion for variety. According to the model, a rational decision maker who suffers from information overload, faces a two-stage decision process, and is choosing from a set of unknown goods will find it optimal at some...

An agent needs to determine a belief over potential outcomes for a new problem based on past observations gathered in her database (memory). There is a rich literature in cognitive science showing that human minds process and order information in categories, rather than piece by piece. We assume...

An agent wants to derive her belief over outcomes based on past observations collected in her database (memory). There is well establish evidence in the psychology and marketing literature that agents consistently fail (or choose not) to process all available information. An agent might be...