THE SIZE DISTRIBUTION OF INCOME IN LIBERIA

The economy of Liberia is one in which, in spite of past satisfactory growth performance, a high level of income inequality persists. In 1977, for instance, a mere 2 percent of the people accounted for some 33 percent of nation-wide wage income. These people live disproportionately in Montserrado County in which the capital city is located. While each of the other counties are largely rural and poor, each has far lower intra-county inequality than wealthy Montserrado.
Intersectoral location of the income-earner, average income levels and the extent of access to human capital formation opportunities are some characteristics of the economy that have been found to explain significant portions of intercounty variations in the levels of household income concentration. Income inequality is reduced with increases in the extent of agricultural activity as the share of the top income group falls and that of the bottom group rises. The reverse happens with growing urban-area activity. Higher income concentration occurs with rising per capita incomes as the top group's income share rises and the bottom income group's share falls. While this appears to be an instance of the Kuznet U-shaped hypothesis, here there are no definite signs of a possible reversal any time soon. The levels of access to educational facilities move inversely with the level of inequality, with expanding elementary facilities benefiting the poorer people at the expense of the wealthy while the reverse happens in the case of expanding secondary educational facilities.     

THE SIZE DISTRIBUTION OF INCOME DURING INFLATION

This paper analyzes the effects of inflation on the size distribution of income, making use of a microsimulation model. It goes beyond earlier analyses not only in the use of microdata but also in the types of inflation modeled. Two different income concepts are used, one the money income concept of the U.S. Census Bureau and the second, called Accrued Comprehensive Income, based on the concept of income as consumption plus the change in net worth. The results of the simulation inflations are presented graphically, as the ratio of real income with inflation to real income without, by income class. The analysis concludes that the income concept chosen is crucially important. While low income households suffer modest losses and middle income households are largely unaffected, whatever income concept is used, the effects on upper income households are extremely sensitive. With a simple money income concept, the well-to-do appear to benefit from inflation but a broader concept reverses this effect. A policy to negate the distributional effect of inflation would benefit primarily the upper income households. Similarly, macroeconomic policies designed to reduce inflation at the price of slower growth and greater unemployment would not aid lower income groups to a significant degree.     

THE EFFECTS OF MACROECONOMIC FLUCTUATIONS ON THE DISTRIBUTION OF INCOME*

This study develops a microanalytic simulation model to examine the effects of macroeconomic fluctuations on the distribution on the distribution of income. A representational sample of the population of the United States is linked with equations determining the variability of various types of factor income. Each family's income experience is simulated under alternative aggregate conditions, and the income distributions arising under these conditions are compared. The main results are similar for alternative specifications of the model. The incidence of a downturn in economic activity, whether accompanied by changes in the rate of inflation or not, and measured in terms of the loss of factor income, leaves the upper middle class relatively better off than before and leaves most others relatively worse off. The very rich bear the heaviest burden.     

STRUCTURAL CHANGES AND THE DISTRIBUTION OF INCOME BY SIZE: THE CASE OF INDIA

The interrelation between changes in the economic structure, i.e., industrial distribution of income and labor force, and the size distribution of income is studied in this paper in a case study of India (1951–1960).
The change in the size distribution of income is the sum of changes due to (1) inter-sectoral factors and (2) intra-sectoral factors. The need for this distinction is emphasized by the result obtained for India, that 85% of the changes in the size distribution may be assigned to inter-sectoral factors, and only 15% to intra-sectoral factors. Since the inter-sectoral factors are significantly influenced by changes in the industrial distribution of income and labor force, our result points out a relation between economic growth and the size distribution which quite often is overlooked in studies of the size distribution.
The results obtained in this paper support several cross-section results of Professor Kuznets. In particular some of these are: (a) inter-sectoral inequality in the economic structure widened with economic growth, (b) the inequality in the size distribution of India widened, (c) the level of inequality in India is higher than in any of the eight developed countries considered.     

THE DISTRIBUTION OF INCOME AND WEALTH IN JAPAN

This paper reviews research on the distribution of income and wealth in Japan, identifies sources of data on income and wealth, and describes limitations of these data. Evidence that Japan's poorest income groups are relatively well-off is convincing, but there is less evidence that the overall distribution of income in Japan is more equal than in other OECD countries. Agricultural policy, social welfare policy, the tax system, trends in earnings differentials, and the role of the Japanese family are among the many factors that have shaped Japan's income distribution. The rapid appreciation of the stock market and land prices during the late 1980s led to greater inequality in the distribution of wealth. Rapid population aging is expected to lead to an increase in total national wealth relative to national income which may have an adverse impact on the distribution of income.     

FACTOR MIGRATION AND INCOME DISTRIBUTION IN SOME DEVELOPING COUNTRIES

A three factor, two sector general equilibrium model is used to determine long run income distributional impacts of factor supply changes associated with international migration in developing and newly industrializing countries. Factor intensity rankings among three factors (capital, skilled and unskilled labor) between two industries (agriculture and manufacturing-services) play a critical role in determining which factors are natural friends with respect to migration. A result common to all countries is observed friendship between capital and unskilled labor: reducing (increasing) the supply of one will lower (raise) payments to the other.     

AN EXAMPLE OF THE USE OF STATISTICAL MATCHING IN THE ESTIMATION AND ANALYSIS OF THE SIZE DISTRIBUTION OF INCOME*

This paper focuses on the use of statistical matching in the estimation and analysis of the size distribution of family unit personal income. The paper begins with a brief discussion of data on the size distribution of income in the U.S. and their limitations. Several methods of improving or augmenting those data are described, and earlier examples of statistical matching for that purpose are mentioned. A brief summary of the types of statistical matching methods which have been used is also presented. Then a recent example of statistical matching carried out at the Office of Research and Statistics, Social Security Administration, is described, and the effects on the size distribution of adjusting and augmenting the initial data using the statistically matched data from that example are shown. Material relating to the accuracy of that statistical match is presented in the appendix.     

THE SIZE DISTRIBUTION OF INCOME: AN INTERNATIONAL COMPARISON

This paper collects and extends the available data on size distribution of income by country, and then uses these data to develop an hypothesis about the relation of stage and mode of development to the distribution of income. In particular, the author attributes the increase in income inequality which often occurs in the early stages of economic development to the uneven spread of capitalist modes of production, which leads to a dualism which separates the capitalist sector from the rest of the economy. The author goes on to discuss the role of this dualism in increasing the inequalities existing in the society. Finally, the author contrasts the income distributions found in socialist countries with those of capitalist ones, and concludes that it is not economic growth per se , but rather the capitalist mode of production, which creates income inequalities in developing countries.     

THE INCOME UNIT AND THE ANATOMY OF INCOME DISTRIBUTION*

This paper focuses on a neglected aspect of the treatment of the income unit in the construction of size distributions of income. If the size distribution is to be an indicator of the distribution of economic welfare, and if the economic welfare of each individual in society is to count equally, then conventional distributions are inconsistent with individualistic welfare functions. We estimate size distributions with each person's welfare weighted equally, and contrast these results with those weighting each household unit's welfare equally. The choice of weights is shown to affect both the level and the trend in income inequality.     

DEMOGRAPHIC CHANGE AND INEQUALITY IN THE SIZE DISTRIBUTIONS OF LABOR AND NONLABOR INCOME

This paper utilizes a joint distribution model of labor and nonlabor income that allows us to analyze the impact of demographic change in the U.S. on the marginal distributions of these two income components over time. The beta distribution of the second kind is the hypothetical statistical distribution used in this study to approximate the observed income graduation. This distribution is sum stable which allows us to compare and contrast the marginal distributions in a consistent manner, a property most hypothesized functional forms of income distribution do not possess. We are in effect using a hyperparameter model to do our estimation. We examined the impact of changes over time in labor force participation and population on the marginal distributions of labor and nonlabor income. We disaggregated the variables by sex and age cohorts and found that changes in the age distribution and in the labor supply behavior of women in particular has had a significant effect on the marginal income distributions over time. We also found that the results vary when we examined overall changes in the labor force participation rate vis a vis changes in women's labor force participation separately. The findings are consistent for both income components.     

地方政府支出规模与结构的居民收入分配效应及制度根源

本文以中国居民营养和健康调查数据为基础,考察了地方政府支出规模与结构的居民收入分配效应及其制度根源。研究表明,地方政府支出规模与结构总体上加剧了我国省份居民收入分配状况的恶化,其中经济性支出比重增加带来的不利影响更为突出,社会支出比重的影响并不显著。财政分权体制对地方政府支出规模与结构的居民收入分配效应具有重要影响:支出分权总体上加剧了地方政府支出规模与结构对省份居民收入分配的不利影响,收入分权则有助于遏制地方政府支出规模对城镇居民收入差距以及经济性支出比重对城乡收入差距的负面效应,但也强化了社会性支出比重对居民收入分配的不利影响。     

VERTICAL DIFFERENTIATION AND THE DISTRIBUTION OF INCOME

The paper analyses the effects of income concentration on the behaviour of a duopoly with vertical product differentiation and uncovered market. By using a trapezoid distribution, we solve explicitly for market equilibrium as a function of a mean preserving spread of the income distribution. We show that overall more concentrated incomes imply stronger product differentiation, as the presence of a large share of middle‐income consumers stimulates a price competition, whose effects are dampened through an enlargement of the quality spread. While the high‐quality advantage and market coverage increase unambiguously in the degree of income concentration, the behaviour of prices is non‐monotone in the distribution parameter.     

THE SIZE DISTRIBUTION OF FAMILY INCOME IN U.S. SMSAs, 1959*

An attempt is made in this paper to identify and quantify the relative influence of several economic, social, and demographic factors on variations in the size distribution of family incomes in 208 Standard Metropolitan Statistical Areas (SMSAs) in the United States in 1959. Using a simple ordinary least squares model with Gini's concentration ratio (R) as the proxy for family income inequality, the estimating equations explain up to 89 percent of the SMSA-to-SMSA variation. The “best” explanatory variables are those having to do with size of nonwhite population, occupational structure, and median years of education. City size and region—which are represented by dummy variables—are also revealed as playing an important role, both on their own and in conjunction with other of the independent variables.     

THE CREATION OF A MICRODATA FILE FOR ESTIMATING THE SIZE DISTRIBUTION OF INCOME*

This paper describes the methods used by the Office of Business Economics, U.S. Department of Commerce, in creating a microdata file for use in estimating the size distribution of income. It explains the techniques of statistical matching involved in merging microdata files from various sources to correct and supplement income estimates in the original field survey (The Current Population Survey) and to incorporate additional information that can be used to estimate items and types of income not contained in the original file.