Some years ago I had predicted that Canada would begin to undershoot its 2% inflation target, and then touted the success of the information transfer monetary model when that prediction came true. However I mostly see the monetary model as at best a local approximation with the dynamic information equilibrium model being better empirically (discussion in terms of US inflation at this linked post).
To that end, I thought I'd put together how you'd look at Canada's below-target inflation in terms of the dynamic information equilibrium model (of all items CPI). In this case, the dynamic equilibrium is approximately 2%, and the undershooting is due to a long-duration shock possibly triggered by the global financial crisis/Great Recession.
The first graph is the full CPI level dataset from FRED. The second shows a more recent CPI level data. The third shows year-over-year inflation. The main shocks are the demographic shock centered at 1978.65 ± 0.04 (width [1] = 3.0 y) and the post-crisis shock is centered at 2017.7 ± 4.9, with a width of 3.3 years. There are two additional shocks in 1991 and 1993 to deal with the bump in the CPI.
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Footnotes
[1] I've been a bit sloppy on this blog about what I mean by the "width" of a transition, although I nearly always use the "width" or "inverse steepness" parameter b0 of the logistic function
Since the derivative is nearly a Gaussian function, we can think of the 1-standard deviation width σ, which is approximately
based on matching the leading order of the Taylor series. The other possible measure is the full width at half maximum (FWHM) which is
Therefore if b0≃3.0y means σ≃4.8y, and FWHM≃10.6y. Using the σ measure, 95% of the shock occurs within 4σ distances (i.e. 2σ on either side) or 19.1 years.
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