Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/71088
Authors: 
Freese, Julia
Year of Publication: 
2013
Series/Report no.: 
Diskussionspapier, Helmut-Schmidt-Universität, Fächergruppe Volkswirtschaftslehre 131
Abstract: 
The recent U.S. house price bubble and the subsequent deep financial crisis have renewed the interest in reliable identification methods for asset price bubbles. While there is a growing number of studies focussing on the detection of U.S. regional bubbles, estimations of the likely starting points in different local U.S. markets are still rare. Using regional data from 1990 to 2010 methods of Statistical Process Control (SPC) are used to test for house price bubbles in 17 major U.S. cities. Based on the EWMA control chart we also present estimations of the likely starting point of the regional bubbles. As a result, we find indications of house price bubbles in all 17 considered cities. Interestingly enough, the recent bubble was not a homogeneous event since regional starting points range from 1996 to 2002.
Subjects: 
statistical process control
real estate
bubble
regional U.S. house prices
JEL: 
C32
E44
R11
Document Type: 
Working Paper

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