Okun's Law and Potential Output


Figure 2: Potential GDP Growth


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Figure 2: Potential GDP Growth 
Implied from Okun’s law, one-sided estimates 
An interesting feature of our estimates is that revisions to potential are positively 
correlated with surprises to unemployment, given output. These surprises usually 
involve increases in the growth rates of labour force participation or productivity, 
some of which the model estimates to be permanent. This countercyclical 
behaviour of potential is offset by procyclical revisions to potential when output is 
surprisingly strong, given unemployment. When GDP and unemployment move 
predictably together over the cycle, as will be true on average, potential will be 
unrevised. 
Our estimate of potential output growth in the 1970s of around 5 per cent is 
relatively high. In contrast, the ‘production function’ approach of the IMF and 
OECD tends to produce estimates for this period that are quite low. This largely 
reflects a conceptual difference. Our measure refers to expected (or ex ante
growth rates, the measure that is relevant for forecasting, whereas production 
function estimates refer to realised (or ex post) changes. The latter will include 
shifts in the level of potential output. An estimated increase in the NAIRU lowered 
ex post growth rates in the 1970s. But level shifts that are not expected to continue 
do not affect expected growth rates. 
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+/– one standard deviation intervals
2015
Potential GDP growth
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An advantage of production function approaches is that they can decompose 
changes in potential output growth – an issue on which our model is silent.
Unfortunately, we are not aware of a recently published decomposition. However, 
our understanding of this approach is that it would also point to a substantial 
slowdown in potential output growth several decades ago, attributable to roughly 
similar reductions in the contributions from labour, capital and productivity. 
Our other time-varying parameter 
α
t
, shown in Figure 3, rarely attracts attention 
outside the world of unemployment forecasters. It captures the increasing 
persistence of movements in the unemployment rate. In the early part of our 
sample, movements in the unemployment rate were often transitory, but in recent 
decades they appear to have become quite persistent. We suspect that a large part 
of this change reflects measurement improvements. Advances in technique and 
sample size considerably reduce the noise evident in the early part of the sample. 
In particular, the introduction of rotation sampling in 1978 imposed a moving 
average term on the level of the unemployment rate.
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