INCOME DISTRIBUTION AND ECONOMIC CHANGE IN PARAGUAY, 1972–88

The author reconstructs the income distribution of families in Paraguay for 1972, 1982, and 1988 by aligning three different urban household surveys with two farm income and two land tenure studies within a national accounts framework. He finds, first, a narrowing disparity between average family incomes in agriculture and non-agriculture in the recent decade, and, second, a steady widening in the agrarian distribution in contrast to a more stable non-agricultural distribution. The "cross-over" of the Paraguayan agricultural distribution from one of greater to lesser equality than the non-agricultural distribution is also found for a number of other recent cases and confirms Kuznets' speculation about the North American data. In the Paraguay experience, the "cross-over" may be due to the deepening cleavage between the commercial minifundia and the modernizing latifundia in the areas of new settlement. Paraguay's countrywide distributions are also compared to other Latin American economies of similar income level and agricultural shares.     

Bivariate income distributions for assessing inequality and poverty under dependent samples

As indicators of social welfare, the incidence of inequality and poverty is of ongoing concern to policy makers and researchers alike. Of particular interest are the changes in inequality and poverty over time, which are typically assessed through the estimation of income distributions. From this, income inequality and poverty measures, along with their differences and standard errors, can be derived and compared. With panel data becoming more frequently used to make such comparisons, traditional methods which treat income distributions from different years independently and estimate them on a univariate basis, fail to capture the dependence inherent in a sample taken from a panel study. Consequently, parameter estimates are likely to be less efficient, and the standard errors for between-year differences in various inequality and poverty measures will be incorrect. This paper addresses the issue of sample dependence by suggesting a number of bivariate distributions, with Singh–Maddala or Dagum marginals, for a partially dependent sample of household income for two years. Specifically, the distributions considered are the bivariate Singh–Maddala distribution, proposed by Takahasi (1965), and bivariate distributions belonging to the copula class of multivariate distributions, which are an increasingly popular approach to modelling joint distributions. Each bivariate income distribution is estimated via full information maximum likelihood using data from the Household, Income and Labour Dynamics in Australia (HILDA) Survey for 2001 and 2005. Parameter estimates for each bivariate income distribution are used to obtain values for mean income and modal income, the Gini inequality coefficient and the headcount ratio poverty measure, along with their differences, enabling the assessment of changes in such measures over time. In addition, the standard errors of each summary measure and their differences, which are of particular interest in this analysis, are calculated using the delta method.     

Relationships between corruption,political orientation,and income inequality: evidence from Latin America

This research sheds light on the analysis of the impact of corruption and political orientation on income distribution in Latin America. Although it has been theoretically demonstrated that corruption worsens the income distribution, the empirical evidence has yielded ambiguous results based on biased estimates not considering a measurement error in the estimation of inequality. This article fills this gap by correcting the previous measurement error bias in the fixed-effects estimation. Additionally, political orientation and its relationship with income inequality are also investigated. The sample covers 18 Latin American countries between 1996 and 2012. Results reveal that corruption increases income inequality.     

DATA SOURCES ON INCOME DISTRIBUTION IN BANGLADESH, INDIA, PAKISTAN AND SRI LANKA: AN EVALUATION

This paper examines the data base available in four South Asian countries, India, Pakistan, Bangladesh, and Sri Lanka, for the examination of trends in real inequality and poverty. Taking the position that sample surveys of household income and consumption are the only really adequate bases on which size distributions of income for a less developed country can be constructed, the paper examines in Section I the reliability of the surveys available in the four countries. Section II evaluates available price data. Section III looks at directions for future development of data collection. The conclusion is reached that sample surveys regularly conducted in these countries do not provide a particularly good basis for this type of analysis. Needed alterations include permitting access to the primary data (or redesign of published tabulations to meet the needs of this type of analysis), use of per capita rather than total household income and consumption, better coverage of regions and occupations, and exploitation of the price data implicit in the survey data collected. Further, the surveys themselves need to be overhauled, especially with regard to timing of interviews. The paper concludes with a short discussion of alternatives to estimates of inequality that can be used to measure absolute deprivation, such as the QUAC stick for identifying nutritional insufficiency.     

IS POVERTY INCREASING IN THE DEVELOPING WORLD?

We assess the developing world's progress in reducing poverty during the late 1980s using new data on the distribution of household consumption or income per person for 44 countries. Local currencies are adjusted to purchasing power parity. To assess robustness, restricted dominance tests are applied to the poverty comparisons. An overall decrease in poverty incidence is indicated over a wide range of poverty lines and measures. However the change is small, and numbers of poor increased at roughly the rate of population growth. The experience was diverse across regions and countries; poverty fell in South and East Asia, while it rose in Latin America and Sub-Saharan Africa.     

GROWTH AND INCOME POVERTY IN LATIN AMERICA AND THE CARIBBEAN: EVIDENCE FROM HOUSEHOLD SURVEYS

This paper provides evidence on growth and income poverty in Latin America and the Caribbean (LAC). Results are obtained by processing microdata from household surveys of 18 LAC countries covering the 1990s and early 2000s. Over this period the LAC economies experienced heterogeneous patterns of growth and poverty changes. Most countries in the region had a rather meager performance in terms of poverty reduction. Episodes of positive, significant and unambiguously pro-poor income growth have been rare in Latin America.     

MEASUREMENT OF THE DISTRIBUTION OF WEALTH IN CANADA

The only periodic data available in Canada on the asset holdings and net worth of the household sector are data collected through a series of household surveys originally initiated in 1954. Some limited data on the holdings of financial claims by the personal and unincorporated business sector are available from flow of funds work. Data are unavailable for estimation from estate tax returns.
The scope of the surveys has been expanded substantially so that the most recent survey obtained a very comprehensive list of asset holdings. The experience with Canadian surveys has been similar to that of other countries; surveys appear to underestimate asset holdings although the estimates are more reliable for widely held assets than for assets with a very skewed distribution. Nevertheless, the surveys appear to trace the accumulated distribution of personal savings over time to a considerable degree and provide useful cross-sectional trend data.
Canadian data show that wealth is more unequally distributed among family units than is income although wealth appears to be more equally distributed between income groups than is income. Wealth is also very unequally distributed within the same income group. Over time, there appears to have been some movement towards a more equal distribution of asset holdings between income groups.     

Unpaid household work and the distribution of extended income: The Norwegian experience

Measurement of unpaid household work is important in order to better understand income distribution as well as to give visibility to women's work and achieve more comprehensive estimates of the level of economic activity. This article surveys estimates of unpaid household work in Norway for use in national accounts and analysis of consumption possibilities. The latter are measured by extended income, defined as income after tax plus the value of unpaid household work. We find that extended income appears to be more evenly distributed than money income.     

Persistence and determinants of income inequality: The Brazilian case

Latin America, which is a region known for its high and persistent income inequality levels, experienced a significant decline in income inequality since the second half of the 1990s. Brazil is a particularly interesting case in Latin America. While the country presented notable economic growth and improvements in income distribution in the early 2000s, Brazil continues to experience high levels of income inequality in comparison with other Latin American or advanced economies. This research contributes to the literature by examining the key drivers of income distribution and the degree of persistence of income inequality among Brazilian states. This research also improves upon previous works by using more recent and comprehensive data and addressing concerns regarding heterogeneity and endogeneity by using the system GMM estimation method. Our findings show that income inequality is highly persistent across Brazilian states and that government policies including income transfer programs made important contributions to reduce income inequality in Brazil. This study also shows that the decline in labor income ratios between different ethnic groups and the increase of the share of formal jobs in the labor market contributed to reduce income inequality.     

DIFFERENCES IN NEEDS AND ASSESSMENT OF INCOME DISTRIBUTIONS*

The literatures on the assessment of income distributions and on differences in needs are not well integrated. The theoretical literature providing results about evaluations and comparisons of income distributions does not, in the main, consider the implications of non-income differences between income-receiving units, while the equivalence scale literature providing results about the relationship between living standards, incomes and household composition does not consider distributional implications. The aim of this survey is to go some way towards integrating these separate literatures; to consider how to evaluate and compare income distributions while at the same time taking explicit account of differences in household composition.     

EMPIRICAL RESULTS CONCERNING VERTICAL AND HORIZONTAL REDISTRIBUTION IN FINLAND

Redistributional effects of income transfers, taxation and social goods in Finland have been studied making use of household surveys for 1966 and 1971 and the input-output study for 1970. According to the study the selection of income to be used as the criterion in carrying out the decile grouping substantially influences the picture that is obtained of the magnitude of redistribution. If factor income is used as the criterion in carrying out the decile grouping, the redistribution appears substantially greater than when disposable income is used as the criterion. On the other hand, whether income is calculated per capita or per household does not substantially influence the overall picture of redistribution obtained. The breakdown of factor income seems to have remained practically the same in Finland in the interval between the study years, while redistribution seems to have levelled income differences more in 1971 than in 1966.     

Heavy tails and upper-tail inequality: The case of Russia

Motivated, in part, by the recent surge of interest in robust inequality measurement, cross-country inequality comparisons, applications of heavy-tailed distributions and the study of global and upper-tail inequality, this paper focuses on robust analysis of heavy-tailedness properties and inequality in the upper tails of income distribution in Russia, as measured, mainly, by its tail indices. The study is based on recently developed approaches to robust inference on the degree of heavy-tailedness and their implications for the analysis of upper-tail inequality discussed in the paper. Among other results, the paper provides robust estimates of heavy-tailedness parameters and tail indices for Russian income distribution and their comparisons with the benchmark values in developed economies reported in the previous literature. The estimates point out to important similarity between heavy-tailedness properties of income distribution and their implications for the analysis of upper-tail income inequality in Russia and those in developed markets.     

FINDING THE POOR

As a basis for judging how public policy affects the poor, this article explores how "poor" families may be defined and how well such families can be distinguished from other families in the less developed countries. This is done by seeking proxies for poverty which are relatively easy to measure, accurate in discriminating between the poor and the non-poor, and relevant to public policy. To this end, a highly parsimonious model is developed, based on truncation and regression procedures, using only family size and number of wage earners in addition to either income or an education-age combination. Application of this model to data from household surveys in three major cities of Latin America shows that the model is highly effective in pinpointing poverty households, although the pattern of errors is not random, the most frequent type of error being to classify poverty households as non-poor.
Especially significant is that the model is nearly as effective for discriminating poverty households from others when financial variables are excluded as when they are included. This would suggest that a good deal of flexibility exists in deciding what variables to include in future studies of this type. The results also suggest that even better results should be possible if more complete information is obtained on the employment status of the different members of the household and on the contribution of each to household income. Ideally, the data collection and model development should proceed in an iterative manner since there are numerous possible variables as well as alternative model formulations.     

USING PSEUDO‐PANELS TO MEASURE INCOME MOBILITY IN LATIN AMERICA

This paper presents a comparative overview of mobility patterns in 14 Latin American countries between 1992 and 2003. Using three alternative econometric techniques on constructed pseudo‐panels, the paper provides a set of estimators for the traditional notion of income mobility as well as for mobility around extreme and moderate poverty lines. The estimates suggest very high levels of time‐dependent unconditional immobility for the Region. However, the introduction of socioeconomic and personal factors reduces the estimate of income immobility by around 30 percent. There are also large variations in country‐specific income mobility (estimated to explain some additional 10 percent of inter‐temporal income variation). Analyzing the determinants of changes in poverty incidence within cohorts revealed statistically significant roles for age, gender, and education of the household head, the latter subject to distinctive effects across levels of attainment and transition in and out of poverty.     

Economic behavior,marriage and fertility: two lessons from polygyny

"This paper derives and estimates an index of the relative importance of children in marriage by comparing the effect of husband's income on the actual number of wives in the household with the demand for wives derived from the number of children in the household. Moreover, the paper presents the monogamy bias as a possible explanation for often observed low or negative income effects on fertility." The data are from two surveys carried out around 1971 in Maiduguri, capital of the Northeastern state of Nigeria.     

INCOME AND CONSUMPTION DISTRIBUTION TRENDS IN THE PHILIPPINES, 1950–70*

Unlike most developing countries, the Philippines has had several (four) reasonably comparable family income and expenditure surveys, covering a reasonable period of time (15 years). This study draws on those surveys and on wage data in an attempt to judge how, if at all, the distribution of income has been changing. The household survey data shows a declining share of both income and consumption for the top income groups; for the bottom quintile the share of recorded income fell while that of recorded consumption rose. When possible biases of the data are allowed for, it is hard to argue that either a narrowing or widening of income differentials occurred over these years. Real wages of a number of important occupations appear to have fallen, however. Only a partial reconciliation of the trends indicated by these wage series and the income trends for various occupational groups implicit in the household survey data was possible, indicating either data problems or the need for more subtle interpretations of the data. Since structural change in the labour force has been rapid (an increasing share being found in the high income occupations as time passed), declining wage rates for certain lower income groups cannot be taken to imply a general worsening of distribution. Our final conclusion is that distribution has probably changed little, and is about as likely to have changed one way as the other.     

MEASURING INEQUALITIES: DO HOUSEHOLD SURVEYS PAINT A REALISTIC PICTURE?

The paper addresses the issue of the accuracy of standard‐of‐living measurements using household survey data. First, it highlights the fact that lighter data collection processes in some developing countries have added to measurement errors in consumption and income aggregates measurement errors. The paper reasserts the need to apply reference guidelines to the measurement of household consumption in order to compute comparable distribution indicators across countries and over time. Second, it contends that it is hard to analyze inequality solely from consumption patterns without taking income and savings into account. Two solutions are proposed for the correction of income measurement errors: by using savings declarations and by implementing a multiple imputation procedure. The results are based on a careful analysis of the EPM93 survey of Madagascar whose design is quite close to the LSMS household surveys, and the ENV98 survey of Côte d'Ivoire representative of surveys conducted nowadays in most Sub‐Saharan African countries.     

Toward a Uniform Definition of Household Income

By marrying a "top-down" national income-based approach with a "bottom-up" microdata approach, and a national income accounting perspective with a theoretical perspective, this article attempts to provide a unified framework for aggregating income types to create an income definition that enables researchers to make valid comparisons across nations. An examination of several national household income surveys shows that it is next to impossible to quantify all elements of any new definition in a way that makes international comparisons easy. The framework nonetheless illuminates the differences in current practice and allows researchers to assess the effect of those differences on income distribution measures.     

Testing Prediction Performance of Poverty Models: Empirical Evidence from Uganda

This paper examines the performance of a method of predicting poverty rates. Because most developing countries cannot justify the expense of frequent household budget surveys, additional low‐cost methods have been developed and used. The prediction method is based on a model linking the proportion of poor households to suitable explanatory variables (consumption proxies). These consumption proxies are variables that can be collected at much lower cost through smaller annual surveys. Several applications have shown that such models can produce poverty estimates with confidence intervals of a similar magnitude to the poverty estimates from the household budget surveys. There is, however, limited evidence of how well the methods perform out‐of‐sample. A series of seven household budget surveys conducted in Uganda in the period 1993–2005 allows us to test the prediction performance of the model. We test the poverty models by using data from one survey to predict the proportion of poor households in other surveys, and vice versa. The results are encouraging, as all models predict similar poverty trends. Although in most cases the predictions are precise, sometimes they differ significantly from the poverty level estimated from the survey directly.     

A Different Perspective on the Evolution of UK Income Inequality

This paper scrutinizes the conventional wisdom about trends in UK income inequality and also places contemporary inequality in a much longer historical perspective. We combine household survey and income tax data to provide better coverage of all income ranges from the bottom to the very top (and make our estimates available to other researchers). We make a case for studying distributions of income between tax units (i.e. not assuming the full income sharing that goes with the use of the household as the unit of analysis) for reasons of principle as well as data harmonization. We present evidence that income inequality in the UK is as least as high today as it was just before the start of World War 2.