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

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

in<strong>com</strong>e; if so, the saving-in<strong>com</strong>e ratio for given growth would also tend to rise<br />

with in<strong>com</strong>e. There have been some tests <strong>of</strong> this hypothesis based on good-sized<br />

samples <strong>of</strong> developing countries, beginning from a much debated paper by Leff 1<br />

based on a sample <strong>of</strong> the countries, to the recent contribution <strong>of</strong> Ram 2 analyzing<br />

a sample <strong>of</strong> 121. All <strong>of</strong> these studies present results which are consistent with the<br />

above hypothesis; for the poor developing countries the saving ratio tends to rise<br />

with in<strong>com</strong>e, while for developed countries, there is no significant systematic<br />

in<strong>com</strong>e effect. These results can be checked using newly available information<br />

assembled by the International Monetary Fund has assembled information for a<br />

large sample <strong>of</strong> developing countries (85) which was utilized in an article by<br />

Aghevli et al. [1]. The underlying data have generously been made available<br />

to us in the form <strong>of</strong> averages <strong>of</strong> each variable in each country for the years<br />

1982–1988.<br />

The variables available include, besides the ratio <strong>of</strong> national saving to national<br />

in<strong>com</strong>e and in<strong>com</strong>e growth, several variables that the authors deemed especially<br />

relevant to underdeveloped countries: per capita real in<strong>com</strong>e, inflation measured<br />

by a consumer’s price index, terms <strong>of</strong> trade, population structure as measured by<br />

the proportion <strong>of</strong> “active” population, and a 0.1 dummy for whether the country<br />

experiencedd a debt crisis. Unfortunately no information is available on fiscal<br />

variables.<br />

The data were used by the authors to estimate an equation which is reported<br />

on page 59 <strong>of</strong> the aforementioned publication, and is reproduced on line 1 <strong>of</strong> table<br />

4.5. The results appear rather disappointing: (i) the coefficient <strong>of</strong> growth is very<br />

small, less than 1 – 5<br />

as large as for the OECD sample, and it is on the borderline <strong>of</strong><br />

significance: (ii) the root mean square error <strong>of</strong> the estimated regression is some<br />

twice as large as the typical error in table 4.3; (iii) in<strong>com</strong>e appears to have a positive<br />

effect on saving though not significant, even at the 10 percent level; (iv) the<br />

effect <strong>of</strong> inflation is positive but quantitatively negligible and insignificant; (v)<br />

the positive coefficient for the variable “Active” is consistent with a negative<br />

coefficient for the variable “Dep” in table 4.3, since the two variables move in<br />

opposite directions.<br />

However, after the article was published, the identification <strong>of</strong> an inconsistency<br />

between the IMF and our OECD data led the authors <strong>of</strong> the IMF article to the<br />

realization that the series they had used for the rate <strong>of</strong> growth <strong>of</strong> output was faulty<br />

and should be replaced by a different series that they kindly made available<br />

to us. The <strong>com</strong>plete data set used for the table 4.5 regressions is reproduced in<br />

table 4.6.<br />

Substituting the revised for the erroneous growth series produces a number <strong>of</strong><br />

significant changes, including some in the expected direction, as can be seen from<br />

line 2. The standard error <strong>of</strong> the equation falls sharply and the growth coefficient

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