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Potential Output: Concepts and Measurement - Department of Labour

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Darren Gibbs 97<br />

force participation rates was replaced with a series in which all observations<br />

were equal to the average rate <strong>of</strong> participation over the sample period; the actual<br />

series <strong>of</strong> employment rates was replaced with the estimated ‘natural’ employment<br />

rates derived earlier in this section; the actual series <strong>of</strong> hours worked per<br />

employee was replaced with a series in which all observations were equal to the<br />

average hours per employee over the sample period; <strong>and</strong> the actual series <strong>of</strong><br />

capacity utilisation was replaced by a series in which all observations were equal<br />

to the average rate <strong>of</strong> capacity utilisation over the sample period. 14 The influence<br />

<strong>of</strong> technology was proxied as is st<strong>and</strong>ard in these techniques by adding back the<br />

residuals to the above predicted values.<br />

Figure 5 illustrates the estimated potential output series <strong>and</strong> the estimated<br />

output gaps obtained by following the above approach.<br />

As Figure 5 illustrates, the output gap derived from the production function<br />

based estimate <strong>of</strong> potential output is similar to the others derived so far. The mid<br />

1980s is identified as a period in which output was above potential, while the<br />

early 1990s is identified as a period during which output was well below potential.<br />

<strong>Output</strong> is estimated to have moved above potential in late 1993/early 1994.<br />

4.4 Stochastic filtering approaches<br />

Four filtering approaches were applied following the methodology discussed in<br />

section 3. The first relies on the conventional Hodrick-Prescott filter, while the<br />

remaining three involve various forms <strong>of</strong> the multivariate filter which include<br />

progressively greater degrees <strong>of</strong> ‘outside’ information.<br />

Hodrick-Prescott filter<br />

The first approach tried was a straightforward application <strong>of</strong> the Hodrick-<br />

Prescott filter. As noted in section 3, the only parameter that must be chosen is<br />

the smoothness constraint (λ). Three variations <strong>of</strong> the constraint were applied<br />

yielding three different potential output series. The first variation involved<br />

setting λ to equal 1600—the value recommended by Hodrick <strong>and</strong> Prescott. The<br />

second variation involved setting λ to equal 200. This results in greater nonlinearity<br />

<strong>of</strong> the potential output series so that supply shocks are assumed to be<br />

more dominant than in the case when λ is equal to 1600. The third variation<br />

involved setting λ to equal 100,000. This results in greater linearity <strong>of</strong> the<br />

potential output series so that dem<strong>and</strong> shocks are assumed to be more dominant<br />

than in the case where λ is equal to 1600.<br />

Figure 6 illustrates the three estimated potential output series (hp1600, hp200,<br />

hp100,000) obtained by following the above approach, <strong>and</strong> the estimated output<br />

gaps.<br />

14<br />

As noted earlier, these assumptions require that the period covered is cyclically neutral.<br />

Moreover, these assumptions could be improved by modelling the trend <strong>of</strong> each <strong>of</strong> these<br />

series individually.

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