Annual Survey of Statistical Data: Pareto's Law and the Index of Inequality of Incomes
PARETO deserves a place of honor among those economists who have aimed at a unification of theoretical-quantitative and empirical-quantitative approach to economic problems. His, sometimes misplaced,' exaltation of method led him to affirm that the progress of economic science in future will depend to a large extent upon investigation of empirical laws, derived from statistics, which will then be compared with known theoretical laws, or will lead to discovery of new laws. The new empirical laws will be essentially result of application to statistical data of methods of interpolation.2 Pareto's empirical formula which describes distribution of personal incomes seemed to open a wide and promising perspective of fruitful research. Professor Benini-who, following Pareto's suggestion, conceived in 1907 bold plan of a new science of inductive quantitative economics-contended that Pareto, by stating his law of incomes, had written first chapter of that new science.3 So far Pareto's and Benini's hopes have not been fulfilled. Though statistics and verification have played in last few decades a role of increasing importance, progress of economic theory has been mainly achieved by a process of scientific investigation, which is by no means that suggested by Pareto in passage quoted above. Interpolation has continued to be a useful statistical tool for practical purposes; but empirical and quite arbitrary formulae, on which it is based, generally are lacking in scientific interest. Pareto's Law forms an exception. The fact that incomes, in different places and epochs, are approximately distributed in accordance with this law, gives it a special significance. Though more than forty years have now elapsed since Pareto enunciated it, it is still attracting attention of economists and statisticians.3 I only need recall de-