In this paper we explore the information processing problem of the firm by modeling the firm as type of network, which is comprised of two kinds of agents, 'searchers' and 'managers.' The searchers explore the external environment and report the information to the managers. We explore the role...

Barr and Saraceno (JEDC, forthcoming) model the firm as a type of artificial neural network (ANN) which plays a repeated Cournot game. Each period, the network/firm must estimate the relationship between environmental conditions and optimal output. Among other results, the paper develops the...

The European countries are in the process of reforming the EU's institutions. If ratified, the Lisbon Treaty will have strong implications for the balance of power among member states. Building on the work of Shapley [Shapley, L.S., 1977, A Comparison of Power Indices and a Nonsymmetric...

This paper compares and contrasts the determinants of the market for skyscrapers in Chicago and New York from 1885 to 2007, using annual time series data. I estimate the factors that determine both the number of skyscraper completions and the height of the tallest building completed each year in...

This paper models the organization of the firm as a type of artificial neural network in a duopoly setting. The firm plays a repeated Prisoner’s Dilemma type game, and must also learn to map environmental signals to demand parameters and to its rival’s willingness to cooperate. We study the...

This article investigates the market for skyscrapers in Manhattan from 1895 to 2004. Clark and Kingston (1930) have argued that extreme height is a result of profit maximization, while Helsley and Strange (2008) posit that skyscraper height can be caused, in part, by strategic interaction among...