This paper advances on previous work on the effects of trade and technical change on labour markets within the framework of Heckscher-Ohlin trade theory. First, we employ dynamic heterogeneous panel estimation techniques not previously used in this context, which separate Heckscher-Ohlin-based...

Reinforcement learning and stochastic fictitious play are apparent rivals as models of human learning. They embody quite different assumptions about the processing of information and optimisation. This paper compares their properties and finds that they are far more similar than was thought. In...

We revisit the El Farol bar problem developed by Brian W. Arthur (1994) to investigate how one might best model bounded rationality in economics. We begin by modelling the El Farol bar problem as a market entry game and describing its Nash equilibria. Then, assuming agents are boundedly rational...

We propose a new bargaining solution, based on the idea - borrowed from Hobbes - that the agreement reached in a negotiation should be determined by how the direct conflict resulting from disagreement would be resolved. The explicit modeling of the disagreement game directly leads to the...

A commonly held view is that the frequency and value of pre-trial settlements in civil disputes are greatly influenced by the cost allocation regime that is in place if the case goes to trial. There is a large and growing theoretical literature on this subject but almost no empirical evidence....

Reinforcement learning and stochastic fictitious play are apparent rivals as models of human learning. The embody quite different assumptions about the processing of information and optimisation. This paper compares their properties and finds that they are far more similar than were thought. In...

We consider a matching model of the labour market where workers that differ in quality send signals to firms that are also vertically differentiated. Signals allow assortative matching in which the highest quality workers send the highest signals and are hired by the best firms. Matching is...

We analyze a dynamic, decentralized market with endogenous entry, where in each period the active professionals supply one unit of an indivisible service at varying degrees of quality. The customers that have entered the market are randomly matched with the active professionals and prices are...

This paper considers a Bayesian analysis of the linear regression model under independent sampling from general scale mixtures of Normals. Using a common reference prior, we investigate the validity of Bayesian inference and the existence of posterior moments of the regression and scale...