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Midtown Manhattan is the largest business district in the country. Yet only a few miles to the south is another district centered at Wall Street. This paper aims to understand when and why midtown emerged. We have created a new data set from historical New York City directories that provide the employment location, residence and job for several thousand residents in the late 19 th and early 20 th centuries. We supplement this with data from historical business directories. The data allow us to describe how, when and why midtown emerged as a center of commerce. We find that midtown arose because of economies of scale related to shopping, rather than congestion in lower Manhattan or wage differentials across the city. Specifically, the evidence suggests that firms moved to midtown to be near retail businesses and other commercial activity in order to be closer to customers, who had been moving north on the island throughout the 19 th century. Once several industries moved from lower Manhattan it triggered a spatial equilibrium readjustment in the 1880s, which then promoted the rise of skyscrapers in midtown around the turn of the 20 th century, several years before the opening of Grand Central Station in 1913.

This paper investigates skyscraper competition between New York City and Chicago. The urban economics literature is generally silent on strategic interaction between cities, yet skyscraper rivalry between these cities is a part of U.S. historiography. This paper tests whether there is, in fact, strategic interaction across cities. First, I find that each city has positive reaction functions with respect to the other city, suggesting strategic complementarity. In regard to zoning, I find that height regulations negatively impacted each city, but produced positive responses by the other city, providing evidence for strategic substitutability.

This paper investigates the determinants of skyscraper building cycles in Manhattan from 1895 to 2004. We first provide a simple model of the market for tall buildings. Then we empirically estimate the determinants of the time series of the number of skyscraper completions and their average heights over the 110 year period. We estimate the model under the assumption of rational expectations and myopic expectations, and find that the myopic model provides a better fit of the data. Furthermore, we find that several local and national variables determine both the number of completions and the average height of skyscrapers, including New York City area population; national employment in finance, insurance and real estate; building costs; access to financing; property tax rates and zoning regulations.