This investigation uses the Family Income and Expenditure Survey (FIES) data to examine changes in income distribution in Japan between 1963 and 1971. Although the data on income is available only for the households of employees in which no member is engaged in agriculture, thereby limiting our ability to generalize about all of Japanese society, the emphasis is on developing a methodology which can be used in analyzing income distribution in general.
As the title suggests, the author emphasizes the fact that income inequality is more than a simple size distribution among abstracted individuals or households arrayed according to income. Income differentials and inequality reflect differences in the way in which individuals are situated in a number of dimensions which the author lables as social subsystems. Using the FIES data, Gini concentration coefficients are calculated from the figures for average income and the sample distribution for nine groupings based upon Japan's geographic regions, five city-size groupings, four occupational groupings, ten age groupings, nine firm-size groupings, and ten industrial classifications. The coefficient for the first two subsystems (sets of categories) drops remarkably during the nine years considered, whereas the coefficient is rather stable for the other four subsystems. Although the FIES data does not give intra-subgroup size distributions (for calculating within variance), the marked drop in the Gini coefficient for the distributions among city-size groups and geographic regions (between variance) would seem to have been caused by (1) population mobility to the urban areas, (2) the increased amount of commuting to and from work in the large urban areas in terms of both volume and distance, and (3) the spread of large industrial complexes to rural areas.
Attention is then directed to the impact of secondary household income on the original distribution among household heads alone. It is suggested that this type of latitudinal mobility is considerable as differences in work force participation and the earning capacity of secondary earners contributes significantly to a narrowing of income differentials among households.
Finally, the author looks at longitudinal mobility over time in terms of changes in the average income first of households arranged into income groupings, and then of each subgrouping in each of the six subsystems. In the first case mobility would seem to be significant. In the latter case, the figures do not take into account the movement of households from one classification to another. Therefore, mobility would seem to be less, but nevertheless is positively correlated with greater equality as the time period for measuring income is extended.
In conclusion, this essay argues that it is important to (1) decompose income distributions into their various subsystem components, (2) consider the impact of secondary income on the original distribution among household heads alone, and (3) examine the extent to which mobility in terms of income exists over time.
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