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, but must also learn to map environmental signals to demand parameters and to its rival’s willingness to cooperate. We study the...

An important measure of the capital–land ratio in urban areas is the Floor Area Ratio (FAR), which gives a building's total floor area divided by the plot size. Variations in the FAR across cities remain an understudied measure of urban spatial structure. We examine how the FAR varies across...

Using vacant land sales, we construct a land value index for Manhattan from 1950 to 2013. We find three major cycles (1950 to 1977, 1977 to 1993, and 1993 to 2007), with land values reaching their nadir in 1977, two years after the city’s fiscal crises. Overall, we find the average annual real...

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...

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 is the first to rigorously test how height and output co-move. Because builders can use their buildings for non-rational or non-pecuniary gains, it is widely believed that (a) the most severe forms of height competition occur near the business cycle peaks and (b) that extreme height...

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...