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"Life Cycle" Hypothesis of Saving: Aggregate ... - Arabictrader.com

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1998<br />

1993<br />

1988<br />

1983<br />

1978<br />

1973<br />

1968<br />

1963<br />

1958<br />

1953<br />

194 The <strong>Life</strong>-Cycle <strong>Hypothesis</strong><br />

0.40<br />

0.30<br />

S/Y<br />

S/Y (Eq III.3)<br />

S/Y (Keynesian,period 2) = 0.3631 - 0.4096/per capita real in<strong>com</strong>e<br />

0.20<br />

<strong>Saving</strong> ratio<br />

0.10<br />

0.00<br />

–0.10<br />

–0.05<br />

Year<br />

Figure 6.7<br />

<strong>Saving</strong> ratio: actual and <strong>com</strong>puted values from equation III.3<br />

are all highly significant and remarkably stable; the variable measuring deviation<br />

from the growth trend is also significant and pretty stable. The remaining coefficient,<br />

that <strong>of</strong> inflation in column a 4 , is less stable, being very high and barely significant<br />

for the first period.<br />

But, there is a good reason for this event, namely that inflation in China appears<br />

to have been very sporadic. In a couple <strong>of</strong> cases it reached quite high levels, but<br />

those episodes occurred entirely in the second <strong>of</strong> our two periods (one in<br />

1987–89; the second, more serious one in 1993–95). But from 1953 to 1985,<br />

prices were remarkably stable, at least as measured by the <strong>of</strong>ficial consumer price<br />

index. Under these conditions we lack the information needed for a reliable estimate.<br />

And this lack <strong>of</strong> reliability is confirmed by the fact that the coefficient <strong>of</strong><br />

0.74 reported in equation III.3, col. a 4 , is estimated with margin <strong>of</strong> error, as evidenced<br />

by a standard error <strong>of</strong> 0.4.<br />

We have devised a test, however, to verify the validity <strong>of</strong> this explanation. If<br />

the coefficients <strong>of</strong> the first and second periods are basically the same up to statistical<br />

sampling error, then the second-period equation, which is “well estimated,”<br />

should provide a good explanation for the behavior <strong>of</strong> S/Y in the first<br />

period. Our test then consists <strong>of</strong> using the parameter estimates for the second<br />

period to obtain “<strong>com</strong>puted” values <strong>of</strong> S/Y for the first period. If our hypothesis<br />

is valid, we should find that these <strong>com</strong>puted values fit well the first-period<br />

observed values. The results <strong>of</strong> this test are presented in figure 6.7. The curve

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