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

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

is one for which scattered supporting empirical information is available. 53 Furthermore,<br />

as we have seen, our hypothetical household goes on consuming a constant<br />

fraction <strong>of</strong> in<strong>com</strong>e (equation II.9) even though its assets continue to rise,<br />

and reach their peak just before retirement; the rise in assets relative to in<strong>com</strong>e<br />

does not depress saving because it is part and parcel <strong>of</strong> the life plan. In other<br />

words, higher assets do not necessarily affect saving; they do so only if, on<br />

account <strong>of</strong> unexpected variations, assets turn out to be out <strong>of</strong> line with in<strong>com</strong>e<br />

and age: it is only an excess (or shortage) <strong>of</strong> assets that affects the saving ratio<br />

(see equation II.2¢). 54<br />

Finally, we can see from our equation (II.1) that the cross-section marginal rate<br />

<strong>of</strong> change <strong>of</strong> consumption (or saving) with respect to asset holdings (in<strong>com</strong>e and<br />

in<strong>com</strong>e expectations constant) could not yield a reliable estimate <strong>of</strong> the marginal<br />

propensity to consume with respect to assets. The reason is simple. From (II.1),<br />

it follows that this marginal propensity is<br />

∂c<br />

∂<br />

∂ a<br />

=- s<br />

∂ a<br />

= 1 .<br />

L t<br />

(II.15)<br />

This expression is independent <strong>of</strong> assets and in<strong>com</strong>e but depends on age. We<br />

cannot, therefore, properly speak <strong>of</strong> the marginal propensity to consume with<br />

respect to assets, as this quantity will vary substantially from age group to age<br />

group, tending to increase with age.<br />

Let us finally remember that, in order to <strong>com</strong>pute the individual marginal<br />

propensity from cross-section data, it is also not sufficient to control age by introducing<br />

this variable linearly in a linear regression <strong>of</strong> consumption on in<strong>com</strong>e and<br />

assets, 55 for, according to our model, age does not enter in a linear fashion. The<br />

only way <strong>of</strong> estimating the marginal propensity at various ages and, in the<br />

process, test equation (II.15) is to carry out a full stratification by age groups (or<br />

some equivalent procedure). It is to be hoped that data for such a test may sometime<br />

be available. 56<br />

II.6<br />

Uncertainty, <strong>Saving</strong>, and the Composition <strong>of</strong> Assets<br />

The analysis <strong>of</strong> the previous sections is helpful in providing a justification for our<br />

earlier contention that the phenomenon <strong>of</strong> uncertainty can be neglected without<br />

seriously affecting the usefulness <strong>of</strong> the analysis.<br />

As we have seen, even under the assumption <strong>of</strong> certainty there are sufficient<br />

incentives for the household to accumulate assets at a rapid rate during the early<br />

years <strong>of</strong> its life. Since the assets thus accumulated can be used to acquire durable<br />

goods and are also available as a general reserve against emergency, it would<br />

appear that the last two motives (p. 6), which are the result <strong>of</strong> uncertainty, need<br />

not affect significantly the saving behavior. 57

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