Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/282439 
Year of Publication: 
2023
Series/Report no.: 
CESifo Working Paper No. 10751
Publisher: 
Center for Economic Studies and ifo Institute (CESifo), Munich
Abstract: 
This paper analyses US nominal house prices at an annual frequency over the period from 1927 to 2022 by means of a very general time series model. This includes both a (linear and non-linear) deterministic and a stochastic component, with the latter allowing for fractional orders of integration at both the long-run and the cyclical frequencies. The results are heterogeneous depending on the model specification and on whether or not the series have been logged. Specifically, a linear model appears to be more appropriate for the logged data whilst a non-linear one appears to be a better fit for the original ones. Further, the order of integration at the zero or long-run frequency is much higher than at the cyclical one. The former is in fact around 1 in all specified models, which implies a high degree of persistence of this component. Finally, the order of integration of the cyclical structure implies that cycles have a periodicity of about 8 years, but it is almost insignificant in all cases.
Subjects: 
US house prices
trends
cycles
persistence
long memory
fractional integration
JEL: 
C15
C22
E30
Document Type: 
Working Paper
Appears in Collections:

Files in This Item:
File
Size





Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.