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Potential Output: Concepts and Measurement - Department of Labour

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Darren Gibbs 103<br />

FIGURE 11: Estimated potential output <strong>and</strong> output gap series—multivariate<br />

filter method<br />

20<br />

15<br />

10000<br />

<strong>Output</strong> gap (%)<br />

10<br />

5<br />

0<br />

-5<br />

-10<br />

-15<br />

-20<br />

8000<br />

6000<br />

4000<br />

2000<br />

0<br />

1977<br />

1978<br />

1979<br />

1980<br />

1981<br />

1982<br />

1983<br />

1984<br />

1985<br />

1986<br />

1987<br />

1988<br />

1989<br />

1990<br />

1991<br />

<strong>Output</strong> ($m 82/83)<br />

1992<br />

1993<br />

June years<br />

mfb200: output gap (left axis)<br />

mfb100,000: output gap (left axis)<br />

mfb200: potential output (right axis)<br />

mfb100,000: potential output (right axis)<br />

mfb1600: output gap (left axis)<br />

gdp (right axis)<br />

mfb1600: potential output (right axis)<br />

tightening in monetary policy (resulting in a positive yield gap: short rates<br />

exceed long rates) tends to temporarily depress economic growth during the<br />

transition to low inflation; or the fact that a positive yield gap may cause some<br />

people to expect interest rates to fall in the near future with the result that some<br />

investment projects are delayed (see Ebert, 1994).<br />

The information contained in the IS regression was than embedded within the<br />

Hodrick-Prescott minimisation formula (along with the Phillips curve <strong>and</strong> Okun<br />

regression) to yield a multivariate estimate <strong>of</strong> potential output which is based on<br />

both the observed behaviour <strong>of</strong> output <strong>and</strong> the observed behaviour <strong>of</strong> inflation,<br />

unemployment <strong>and</strong> the yield curve. Again, an iterative technique was used to<br />

generate successive replacement output gaps in the IS regression until the<br />

estimated coefficients converged, <strong>and</strong> three variations <strong>of</strong> the smoothness parameter<br />

were used so that three different multivariate filters were derived. Figure<br />

11 illustrates the three estimated potential output series (mfb1600, mfb200,<br />

mfb100,000) obtained by following the above approach, <strong>and</strong> the estimated output<br />

gaps.<br />

The general pattern <strong>of</strong> the multivariate output gaps is similar to the previous<br />

estimates. However, the size <strong>of</strong> the negative output gap is less pronounced in the

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