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

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

Table 2.1<br />

Coefficients <strong>of</strong> the Consumption Function (1.6) under Stated Assumptions a<br />

Yield on Assets (percent) 0 0 0 3 5 5 5<br />

Annual Rate <strong>of</strong> Growth<br />

<strong>of</strong> <strong>Aggregate</strong> In<strong>com</strong>e<br />

(percent) 0 3 4 0 0 3 4<br />

a 1 + a 2 0.61 0.64 — 0.69 0.73 — —<br />

a 3 0.08 0.07 0.07 0.11 0.13 0.12 0.12<br />

a<br />

Missing values have not been <strong>com</strong>puted because <strong>of</strong> the <strong>com</strong>plexity <strong>of</strong> calculation.<br />

change in the assumptions would lead to somewhat different values <strong>of</strong> the parameters.<br />

But both a priori considerations and rough numerical calculations suggest<br />

that these values would not be drastically affected, and that it is generally possible<br />

to infer the direction in which these values would move when a specific<br />

assumption is changed. The recognition <strong>of</strong> the estate motive would tend to yield<br />

lower values for both coefficients, especially that <strong>of</strong> assets. 8<br />

On the whole, then, the values shown in table 2.1 should be regarded as a rough<br />

guide to the order <strong>of</strong> magnitude <strong>of</strong> the coefficients consistent with the basic<br />

model; i.e., radically different values would cast serious doubts on the adequancy<br />

<strong>of</strong> the life cycle hypothesis.<br />

C<br />

The Measurement <strong>of</strong> Expected In<strong>com</strong>e<br />

The last point that must be clarified before we proceed to the discussion <strong>of</strong> the<br />

empirical tests is the measurement <strong>of</strong> expected nonproperty in<strong>com</strong>e, Y e , which,<br />

at least at present, is not directly observable. A “naive” hypothesis is to assume<br />

that expected nonproperty in<strong>com</strong>e is the same as actual current in<strong>com</strong>e, except<br />

for a possible scale factor. Thus, we have:<br />

y<br />

t e<br />

= b¢ Y; b¢<br />

1.<br />

t<br />

Substituting the above expression into (2.6), we obtain the aggregate consumption<br />

function<br />

C = ( a¢+ b¢ a¢<br />

) Y + a¢ A = a Y + a A<br />

t 1 2 t 3 t-1 1 t 3 t-1<br />

a = a¢+ b¢ a¢ a¢+ a¢<br />

.<br />

1 1 2 1 2<br />

We designate this formulation as hypothesis I.<br />

A similar but somewhat more sophisticated formulation is to assume that<br />

expected in<strong>com</strong>e is an exponentially weighted average <strong>of</strong> past in<strong>com</strong>e, weights<br />

adding up to one, or slightly more than one in order to reflect the expected growth<br />

[15] [16]. But it is quite difficult to determine the weights from the data we have

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