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

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Utility Analysis and the Consumption Function 35<br />

If the quantity L i were a constant, this equation would be identical in form with<br />

the equation Klein proposed to test; 63 although, in the actual statistical test he has<br />

found it convenient to approximate the first two terms by an expression <strong>of</strong> the<br />

form l + mlog y i , and the variable<br />

y<br />

i<br />

-y-1i<br />

yi<br />

-y-1i<br />

by .<br />

y y<br />

i<br />

-1i<br />

If we now look at Klein’s results, we can take courage from the fact that all<br />

his coefficients have at least the sign required by our model; namely, a positive<br />

sign for in<strong>com</strong>e, in<strong>com</strong>e change, and age (t in our notation, a in Klein’s) and<br />

negative for assets<br />

Ê a<br />

in our notation,<br />

Ë y<br />

L<br />

Y<br />

ˆ<br />

in Klein’s<br />

¯.<br />

This result is <strong>of</strong> some significance, especially in the case <strong>of</strong> the age variable.<br />

According to our model, the positive sign <strong>of</strong> this coefficient reflects the fact that<br />

within the earning span, for a given level <strong>of</strong> in<strong>com</strong>e and assets, the older the<br />

household the smaller will tend to be its resources per remaining year <strong>of</strong> life, and<br />

therefore the smaller the consumption (i.e., the higher the saving).<br />

It would be interesting to <strong>com</strong>pare the size <strong>of</strong> Klein’s coefficients with the<br />

values implied by our model. At this point, however, we must remember that the<br />

analogy between Klein’s equation and our equation (A.5) is more formal than<br />

real; for Klein treats his coefficients as if they were constant, whereas, according<br />

to our model, they are all functions <strong>of</strong> age since they all involve the quantity L i .<br />

Consideration <strong>of</strong> the sensitivity <strong>of</strong> the coefficients <strong>of</strong> our equation to variations<br />

in t suggests that the error involved in treating them as constants might be quite<br />

serious. We must further remember that the specific value <strong>of</strong> the coefficients in<br />

(A.5) is based on Assumptions III and IV. As we have repeatedly indicated, these<br />

Assumptions are introduced for expository convenience but are not an essential<br />

part <strong>of</strong> our model. With the elimination <strong>of</strong> Assumption III and the relaxation <strong>of</strong><br />

IV, along the lines suggested note 23, the form <strong>of</strong> our equations and the sign <strong>of</strong><br />

the coefficients are unchanged, but the value <strong>of</strong> these coefficients is not necessarily<br />

that given in equation (A.5), nor is it possible to deduce these values<br />

entirely on a prior grounds, except within broad limits.<br />

We might, nonetheless, attempt a <strong>com</strong>parison, for whatever it is worth, by<br />

replacing the variable t i , in the expression L i by a constant, say, by its average<br />

value in Klein’s sample. Unfortunately, this average is not published, but we<br />

should not go far wrong by putting it at between 15 and 25 and <strong>com</strong>puting a range<br />

for each coefficient using these two values.” We must also take a guess at the<br />

value <strong>of</strong> b 1 and b 2 . These quantities, it will be noted, are not observable. On the

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