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

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Utility Analysis and the Consumption Function 21<br />

Let us consider now what we may expect to happen if in<strong>com</strong>e is subject to<br />

short-term fluctuations, a case illustrated in figure 1.2. We may assume for expository<br />

convenience that on the average these fluctuations cancel out so that average<br />

current in<strong>com</strong>e, ȳ, is the same as the average future in<strong>com</strong>e expected in the year<br />

before by the sample as a whole, ȳ e -1. But, because <strong>of</strong> the presence <strong>of</strong> short-term<br />

variations, this equality will not hold for individual households; for some households<br />

current in<strong>com</strong>e will be higher than y e -1, while for others it will be lower. As<br />

a result <strong>of</strong> these fluctuations, as we have already argued, in the highest in<strong>com</strong>e<br />

brackets there will be a predominance <strong>of</strong> households whose current in<strong>com</strong>e is<br />

above y e -1. This, in turn, means that in these brackets the average value <strong>of</strong><br />

y e -1,ȳ e -1(y), will be less than y itself; 35 in terms <strong>of</strong> our graph, ȳ e -1(y) will fall below<br />

the dashed line, which represents the line <strong>of</strong> slope one through the origin. For<br />

instance, corresponding to the highest in<strong>com</strong>e bracket shown, y m ,ȳ e -1(ȳ m ) may be<br />

represented by a point such as q in our graph. Conversely, in the lowest in<strong>com</strong>e<br />

bracket shown, y n , there will tend to be a preponderance <strong>of</strong> people whose current<br />

in<strong>com</strong>e is below y e -1, and therefore the average value <strong>of</strong> y e -1 in this bracket, ȳ e -1(y n )<br />

will be greater than y n and above the dashed line, as shown by the point q¢, in the<br />

figure. Extending this reasoning to all values <strong>of</strong> y, we conclude that the relation<br />

between ȳ e -1(y) and y will tend to be represented by a curve having the following<br />

essential properties: (a) it will intercept the dashed line in the neighborhood <strong>of</strong> a<br />

point with abscissa ȳ; and (b) to the right <strong>of</strong> this point, it will fall progressively<br />

below the dashed line, while to the left <strong>of</strong> it, it will stand increasingly above this<br />

line. In our graph this relation is represented by the dotted straight line joining<br />

the points q¢ and q; in general, the relation need not be a linear one, although the<br />

assumption <strong>of</strong> linearity may not be altogether unrealistic. What is essential,<br />

however, is that the ȳ e -1(y) curve may be expected to have everywhere a slope<br />

smaller than unity and to exhibit a positive intercept; and that its slope will tend<br />

to be smaller, and its intercept larger, the greater the short-term variability <strong>of</strong><br />

in<strong>com</strong>e.<br />

From the behavior <strong>of</strong> ȳ e -1(y), We can now readily derive that <strong>of</strong> ȳ e (y), which is<br />

the quantity we are really interested in. The latter variable is related to ȳ e -1(y) and<br />

to y itself through the elasticity <strong>of</strong> in<strong>com</strong>e expectations. The elasticity <strong>of</strong> expectations<br />

relevant to our analysis can be defined as the percentage change in in<strong>com</strong>e<br />

expectation over the two years in question,<br />

e e<br />

y - y - 1<br />

,<br />

e<br />

y<br />

-1<br />

divided by the corresponding percentage difference between current in<strong>com</strong>e and<br />

the previous year’s expectation,

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