Tag Archives: housing bubble

Ireland’s (new) housing crisis in 2 charts



all data from CSO…

So. A gallery of SupADF tests. Who doesnt like some right tailed unit roots of a saturday morning eh? I have blogged on these tests for bubbles before : see here, here, here . I leave you to make your own conclusions…

Too late to stop a Dublin house price bubble?

And on it goes. The latest house price data from the CSO indicate the two Irelands continuing to diverge. On one hand we have Dublin (and to some extent the rest of the urban areas) growing like gangbusters, while on the other hand the stagnation intensifies in the rest of the state. This is clear in both house prices and in other economic aggregates.  Our geospatial policies are, and have been for decades, next to non existent.  Governments have been too timid, too fearful of shortterm backlash, to put in place a meaningful strategy for growth around designated poles accompanied by real policies for the remaineder. Instead we have the irish version of Laissez Faire – Lackadasical Fear.

Continue reading

Is there a bubble in the UK housing market?

Recently there has been an upsurge of concern about a house price bubble in the UK. New Governor Mark Carney has made soothing noises about the existence of one.

Recent developments in econometrics allow us a new test which might be able to shed some light on this; it also tantalizingly allows us the possibility of a ‘real time’ bubble dating model.

The tools are, to be technical for a moment, ‘Right Tailed Augmented Dickey Fuller’ tests. They are new, and still being refined and evolved. For some discussion of them and their use see the originating papers by Phillips et al (Phillips, P., S. Shi, and J. Yu, 2013. Testing for Multiple Bubbles 1: Historical episodes of exuberance and collapse in the S&P 500. ; Phillips, P., Y. Wu, Y., and J. Yu, 2011. Explosive behavior in the 1990s Nasdaq: When did exuberance escalate asset values? International Economic Review, 201, 201–226. ; Phillips, P. C. B. and J. Yu, 2011. Dating the timeline of financial bubbles during the subprime crisis. Quantitative Economics, 2, 455–491.)

See also work on the Colombian housing market ( Testing for Bubbles in Housing Markets: New Results Using a New Method JE Gomez-Gonzalez, J Ojeda-Joya, CR Guerra ) ; on the HongKong market (Yiu, Matthew S., Jun Yu, and Lu Jin. “Detecting bubbles in Hong Kong residential property market.” Journal of Asian Economics (2013)) ; on the German market (Chen, Xi and Funke, Michael, Renewed Momentum in the German Housing Market: Boom or Bubble? (June 27, 2013). CESifo Working Paper Series No. 4287)

These papers all give detailed discussions of the test. A program for eviews is available (see http://davegiles.blogspot.ie/2013/08/right-tail-augmented-dickey-fuller.html ) as is one for Matlab (see http://sofie.oxford-man.ox.ac.uk/sites/sofie/files/omi_wysiwyg/177/21_JunYu_15.pdf ).


To implement this one proceeds to run the tests and to extract the SupADF statistic series.

One then looks for the existence and the date of a bubble by looking at when and if the test statistics exceed their statistical critical value.

Below see two graphs. The first is the UK housing market, defined as the Nationwide All homes index. Overlaid is the Nationwide First Time Buyer Affordability index. The second is the test statistic which indicates a bubble starting in md 1999 and terminating in late 2008. While there is a slight uptick in the statistic for q2003 it is still well below its critical value and has been on a downward trend. This suggests, no more, that at present there is not a bubble; it does not suggest that vigilance is not needed.