Potential Output: Concepts and Measurement - Department of Labour
Potential Output: Concepts and Measurement - Department of Labour
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