Testing for exuberance in house prices using data sampled at different frequencies

Jesús Otero, Theodore Panagiotidis, Georgios Papapanagiotou

Research output: Contribution to journalArticlepeer-review

1 Scopus citations


We undertake Monte Carlo simulation experiments to examine the effect of changing the frequency of observations and the data span on the Phillips, P. C. B., S. Shi, and J. Yu. 2015. "Testing for Multiple Bubbles: Historical Episodes of Exuberance and Collapse in the S&P 500."International Economic Review 56 (4): 1043-78 generalised supremum ADF (GSADF) test for explosive behaviour via Monte Carlo simulations. We find that when a series is characterised by multiple bubbles (periodically collapsing), decreasing the frequency of observations is associated with profound power losses for the test. We illustrate the effects of temporal aggregation by examining two real house price data bases, namely the S&P Case-Shiller real house prices and the international real house price indices available at the Federal Reserve Bank of Dallas.

Original languageEnglish (US)
JournalStudies in Nonlinear Dynamics and Econometrics
StateAccepted/In press - 2021

All Science Journal Classification (ASJC) codes

  • Analysis
  • Social Sciences (miscellaneous)
  • Economics and Econometrics


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