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

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The Chinese <strong>Saving</strong> Puzzle 183<br />

3.3.2 Modeling Permanent Variation in the Per-Capita In<strong>com</strong>e<br />

Growth Rate<br />

With respect to the productivity growth <strong>com</strong>ponent, the basic hypothesis is stated<br />

in (6.2). But there is a problem in that (6.2) has been shown to be an implication<br />

<strong>of</strong> the LCH in the presence <strong>of</strong> a lasting and stable in<strong>com</strong>e growth trend. Now it<br />

is obvious that in China the growth rate has been far from stable. Until the mid-<br />

70s, it averaged around 2 percent. It then rose almost monotonically, reaching<br />

over 10 percent in the early 90s and falling again in the late 90s. One possible<br />

first approximation can be obtained by measuring the growth trend not by the<br />

current or recent growth (which would be quite erratic), but by the average annual<br />

growth over an extended period <strong>of</strong> past years. In principle the period should be<br />

long, subject to the availability <strong>of</strong> data. In the case <strong>of</strong> China the data are an important<br />

limitation, as our estimates <strong>of</strong> disposable in<strong>com</strong>e growth begin only in 1953<br />

and end in 2000. We have 48 years <strong>of</strong> data. Using a really long period would<br />

result in losing a large portion <strong>of</strong> our sample. We have settled for a <strong>com</strong>promise<br />

by measuring the growth trend for every year and by using the average annual<br />

rate <strong>of</strong> growth over the previous fourteen years (year one through year fifteen).<br />

This procedure results in the loss <strong>of</strong> the first fifteen observations, leaving us with<br />

a sample <strong>of</strong> 34 observations (1966–2000). However, many <strong>of</strong> the results presented<br />

below have been obtained using the entire sample, and approximating the growth<br />

trend <strong>of</strong> the missing previous fourteen years by the average annual growth rate<br />

for all the years available, up to the given year. This procedure yields a sample<br />

<strong>of</strong> 43 observations (1957–2000). This approximation is “courageous,” but the<br />

early years are important because they are quite different from the later ones, and<br />

we submit that the approach is unlikely to cause serious bias since, in the early<br />

years, the growth is relatively constant and quite small.<br />

The saving ratio and the per-capita in<strong>com</strong>e growth trend are shown in figure<br />

6.4. The per-capita real in<strong>com</strong>e curve tracks remarkably closely with the wide<br />

fluctuations <strong>of</strong> S/Y from its trough in the 60s to its peak in the mid-90s. At the<br />

end, the S/Y decelerates faster than the growth trend. This difference will be<br />

explained below. On the whole, the graph provides surprisingly strong support<br />

for the LCH hypothesis as an explanation <strong>of</strong> Chinese saving.<br />

The fifteen-year average growth rate is the basic variable used to estimate the<br />

growth effect. We will provide some refinements <strong>of</strong> this measure, which takes<br />

into account the possibility <strong>of</strong> differential effect for the more recent growth rates.<br />

3.4 The Role <strong>of</strong> Inflation<br />

3.4.1 Impact <strong>of</strong> Inflation on Measurement <strong>of</strong> In<strong>com</strong>e and <strong>Saving</strong><br />

The presence <strong>of</strong> price variation (inflation) over the time period poses a number<br />

<strong>of</strong> measurement problems. First, in the presence <strong>of</strong> significant inflation, one must

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