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2021 | OriginalPaper | Chapter

Detecting Tranquil and Bubble Periods in Housing Markets: A Review and Application of Statistical Methods

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Abstract

We provide a brief review of recent developments in research on price movements of real estate, especially bubbles, and highlight the gap between theoretical and statistical approaches to bubble detection. We also propose applying a top-down strategy to a bounds testing method (Pesaran et al. in J. Appl. Econom. 16(3):289–326, 2001) to investigate rational price bubbles. Furthermore, by introducing nonlinearity into the autoregressive distributed lag model, we modify the bounds test to be more suitable for bubble analyses.

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Appendix
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Footnotes
1
Hereafter, financial bubbles refer to both asset and real estate bubbles for convenience because a single economic theory can explain their evolution (see the next section).
 
2
See Gurkaynak Gurkaynak (2008) and Shiller (2014) for a survey of the literature.
 
3
One exception is exchange rate markets, which we can think of as experiencing both negative and positive bubbles, and where the latter refers to currency crises.
 
4
This model is the simplest version of a regime-switching model and can be extended to a Markov-switching model.
 
5
The identification of mild bubble periods can be made more clearly using a recursive or rolling method, which will be discussed in the T-ARDL.
 
6
The OECD countries are Greece, Italy, Finland, Korea, Switzerland, France, Japan, Poland, Belgium, Denmark, Chile, Estonia, Germany, Spain, Slovenia, Israel, the UK, Luxembourg, Norway, the Netherlands, the Slovak Republic, the USA, Mexico, Austria, Australia, Lithuania, Sweden, Portugal, Latvia, Ireland, the Czech Republic, Hungary, New Zealand, Canada, Turkey, and Iceland.
 
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Metadata
Title
Detecting Tranquil and Bubble Periods in Housing Markets: A Review and Application of Statistical Methods
Author
Jun Nagayasu
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-54252-8_4