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.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)