Purpose - Intuitionistic linguistic fuzzy information (ILFI), characterized by linguistic terms and intuitionistic fuzzy sets (IFSs), can easily express the fuzzy information in the process of muticriteria decision making (MCDM) and muticriteria group decision making (MCGDM) problems. The...

Markets are often viewed as a tool for aggregating disparate private knowledge, a stance supported by past laboratory experiments. However, traders' acquisition cost of information has typically been ignored. Results from a laboratory experiment involving six treatments varying the cost of...

This paper proposes an entropy-based approach for aggregating information from misspecified asset pricing models. The statistical paradigm is shifted away from parameter estimation of an optimally selected model to stochastic optimization based on a risk function of aggregation across models....

We estimate real consumption's growth rate and volatility in light of three new facts documenting geographic differences in consumption: (1) consumers in separate markets buy different products, (2) a product's market share varies geographically conditional on relative price, and (3) product...

This paper explores possible links between overproduction and future gross domestic product (GDP) growth. Specifically, we examine the direct effect of overproduction on future GDP growth as well as the moderating effect of overproduction on the relation between aggregate earnings growth and...

This paper studies information aggregation in financial markets with recurrent investor exit and entry. I consider a dynamic general equilibrium model of asset trading with private information and collateral constraints. Investors differ in their aversion to Knightian uncertainty: When...

Tort law deals in lumps. It responds not to the innumerable fine-grained acts of risk creation that each of us performs every day but rather to large, discrete, harmful events — “accidents.” And it responds to those events in a binary way, converting unruly facts into an on/off judgment...

We propose a novel class of convex risk measures, based on the concept of the Fr\'echet mean, designed in order to handle uncertainty which arises from multiple information sources regarding the risk factors of interest. The proposed risk measures robustly characterize the exposure of the firm,...