This paper proposes a dynamic model of bargaining to analyze decentralized markets where buyers and sellers obtain information about past deals through their social network. There is a unique equilibrium outcome which depends crucially on the peripheral (least connected) individuals in each...

Confirmation bias refers to cognitive errors that bias one towards one's own prior beliefs. A vast empirical literature documents its existence and psychologists identify it as one of the most problematic aspects of human reasoning. In this paper, we present three related scenarios where...

This paper considers the impact of reviewers on the sale of a product of unknown quality. Sales occur simultaneously after an initial review by an unbiased, pessimistic or optimistic reviewer and we examine the impact on sales in each case. We find that counter-intuitively a pessimistic reviewer...

Experience gained in a workplace characterised by decision-making and learning-by-doing is modelled via a process of signal accumulation under several different frameworks. We initially look at the probability of success based on uninterrupted signal accumulation, then consider the impact of...

This paper provides a comprehensive analysis of online price dispersion in Europe, across a broad range of product categories and countries. Using the dominant European price comparison site we collected firm specific prices, weekly, from sevcn European countries (Denmark, France, Italy,...

The standard simple sequential herding model is altered to allow a firm with a new product to have it reviewed publicly before launch. Reviewers are either inherently pessimistic, optimistic or unbiased. We find the counter-intuitive result that a firm with a good product will prefer a...

We extend the experimental literature on Bayesian herding using evidence from a financial decision-making experiment. We identify significant propensities to herd increasing with the degree of herd-consensus. We test various herding models to capture the differential impacts of Bayesian-style...

The literature on informational cascades and herding theory has for a decade focused on the externality and suboptimal outcomes generated from decision-making when spaces are coarser than private information spaces. Much of the output has therefore been positive, not normative. This paper...

We study the properties of generalized stochastic gradient (GSG) learning in forwardlooking models. We examine how the conditions for stability of standard stochastic gradient (SG) learning both di1er from and are related to E-stability, which governs stability under least squares learning. SG...