This article tests whether the activity at a metropolitan area's airport helps predict population and employment growth. In regression equations explaining employment and population growth, the article uses various measures of airport activity, including boardings, originations, hub status and cargo volume. Because airports may be a function of, as well as a cause of, growth, the article instruments for airports by using geographical and lagged variables. It finds that, under a variety of specifications, passenger activity is a powerful predictor of growth; cargo activity is not. Copyright 2007 American Real Estate and Urban Economics Association
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.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Publisher Info
Article provided by American Real Estate and Urban Economics Association in its journal Real Estate Economics.
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.)