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

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Utility Analysis and the Consumption Function 25<br />

II.4 Some Evidence on the Constancy <strong>of</strong> the <strong>Saving</strong> Ratio for a<br />

Stationary Cross Section<br />

In order to understand the foundations <strong>of</strong> Reid’s highly ingenious techniques and<br />

the meaning <strong>of</strong> her results, we must turn back to our figures 1.1 and 1.2, and to<br />

the reasoning underlying their construction. Suppose that, somehow, we had been<br />

able to locate a sample <strong>of</strong> households, within their earning span, each <strong>of</strong> which<br />

fulfilled <strong>com</strong>pletely our stationary specifications. For every member <strong>of</strong> this<br />

sample, because <strong>of</strong> the <strong>com</strong>plete absence <strong>of</strong> short-term in<strong>com</strong>e fluctuations, we<br />

would have the chain <strong>of</strong> equalities y = y e = y e -1 = y -1 so that the correlation between<br />

current and previous in<strong>com</strong>e, r yy-1 , would be unity. Furthermore, if our theory is<br />

correct, the elasticity <strong>of</strong> consumption with respect to current in<strong>com</strong>e, h cy , would<br />

also be unity. Moreover, this conclusion would continue to hold if the above chain<br />

<strong>of</strong> equalities were replaced by “proportionality,”<br />

e e<br />

y y-1<br />

y-1<br />

ie .., y= = = .<br />

k k k<br />

1<br />

2<br />

3<br />

In this case, all the households are out <strong>of</strong> stationary equilibrium but, so to<br />

speak, by the same proportion; this would affect the slope <strong>of</strong> the c¯(y) curve <strong>of</strong><br />

figure 1, but not its intercept, so that the consumption-in<strong>com</strong>e elasticity would<br />

remain unity. 44<br />

Now, since information on the permanent <strong>com</strong>ponent <strong>of</strong> in<strong>com</strong>e and the degree<br />

<strong>of</strong> adjustment to it is not available, it is impossible to locate a sample fulfilling<br />

exactly our specifications. On the other hand, it may not be impossible to find<br />

one for which short-term fluctuations are <strong>of</strong> relatively minor importance and<br />

current in<strong>com</strong>e is relatively close to the level to which the household is adjusted.<br />

These conditions might be satisfied, for instance, by a sample <strong>of</strong> government<br />

employees or <strong>of</strong> college pr<strong>of</strong>essors. For such a sample we would expect to find<br />

a correlation between current and previous in<strong>com</strong>e, r yy-1 , close to unity and, if our<br />

model is correct, an elasticity <strong>of</strong> consumption with respect to in<strong>com</strong>e, h cy , close<br />

to unity. At the other extreme, for a group <strong>of</strong> households for which random shortterm<br />

fluctuations play a dominant role, say, a sample <strong>of</strong> farmers over a wide geographical<br />

region, we would have a low value <strong>of</strong> r yy-1 and, as we know from the<br />

analysis <strong>of</strong> figure 1.2, a low elasticity <strong>of</strong> consumption with respect to in<strong>com</strong>e.<br />

This implication <strong>of</strong> our model clearly forms the basis for a crucial experiment;<br />

this experiment has not been carried out as such, although we look forward to its<br />

being performed in the near future by anyone having the resources and interest.<br />

Meanwhile, Reid’s method is very similar to the <strong>com</strong>parison we have just proposed.<br />

The discussion that has led us to the formulation <strong>of</strong> our crucial experiment<br />

suggests that the correlation between current and previous in<strong>com</strong>e can be taken

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