Spatial differences in poverty: The case of Peru

This paper examines the implications of spatial differences in living costs for measures of poverty. Taking Peru as a case study, spatial price indices are used to calculate location-specific poverty lines, based on the local cost of a basket of basic needs. Applied to income distribution data, these poverty lines yield measures of the extent and location of poverty. The paper shows that these measures are significantly different from, and much more accurate than those obtained using a single countrywide poverty line; the latter can give a misleading picture of poverty by over- stating spatial differences, in general overestimating rural and underestimating urban poverty.     

The impact of unemployment on inequality and poverty in OECD countries

The purpose of this research is to examine the contribution of unemployment to income inequality and poverty in various OECD countries. These relationships have been explored using Luxembourg Income Study micro-data. Considerable differences across OECD countries are revealed through the use of within-household unemployment distributions. These differences help to explain most of the observed divergences in the relationship between unemployment and income distribution, in conjunction with the heterogeneous influence of social benefits on the economic position of the unemployed in these countries. A sub-group decomposition analysis corroborates the limited effect of unemployment on income distribution in most of the considered countries. However, it seems clear that the unemployed are among those with the highest risk of experiencing poverty.
JEL classification: D31, I32, J31.     

A comparison of the poverty impact of transfers, taxes and market income across five OECD countries

This paper compares the poverty reduction impact of income sources, taxes and transfers across five OECD countries. Since the estimation of that impact can depend on the order in which the various income sources are introduced into the analysis, it is done by using the Shapley value. Estimates of the poverty reduction impact are presented in a normalized and unnormalized fashion, in order to take into account the total as well as the per dollar impacts. The methodology is applied to data from the Luxembourg Income Study database.     

Does Medicare benefit the poor?

Measuring the progressivity of age-targeted government programs is difficult because no single data set measures income and benefit use throughout life. Previous research, using zip code as a proxy for lifetime income, has found that Medicare benefits flow primarily to the most economically advantaged groups, and that the financial returns to Medicare are often higher for the rich than the poor. However, our analysis produces the starkly opposed result that Medicare is an extraordinarily progressive public program, in dollar terms or welfare terms. These new results owe themselves to our measurement of socioeconomic status as an individual's education, rather than the geographically aggregated measures of income used by previous research. We argue that individual education has important practical and conceptual advantages over geographically aggregated measures of income. Our results suggest the crucial importance of accurate poverty measurement in evaluating the progressivity of complex government programs like Medicare or Social Security.     

Living Decently

One of the reasons why poverty lines became popular at the turn of the century was their promise of a scientific technique that would dispense with moralising about poverty. We argue that a price paid in this quest has been an impoverishment of the richness of the notion of 'a decent life', the moral concept underlying poverty. In addition, poverty lines have in practice been more to do with inequality at the bottom end of the income distribution than with poverty. The purpose of this article is to rehabilitate the measurement of poverty, and to make it credible. We set out our preferred method of poverty measurement, and illustrate it using data from the Australian Standard of Living Study. A feature of our approach is to distinguish clearly between issues of inequality and issues of poverty. Questions such as who is on the bottom of the income distribution, whether this has changed over time, and how income levels of the worst off compare with the mean, are questions of inequality. As such, the answers tell us nothing at all about how the worst off are actually living. To answer that question, we require direct measures of consumption and of social participation. These measures are not as simple, but they provide us with knowledge about poverty that poverty lines have promised, but have not delivered in a credible fashion.     

Income distribution and economic development: Insights from machine learning

We draw upon recent advances that combine causal inferences with machine learning, to show that poverty is the key income distribution measure that matters for development outcomes. In a predictive framework, we first show that LASSO chooses only the headcount measure of poverty from 37 income distribution measures in predicting schooling, institutional quality, and per capita income. Next, causal inferences with post‐LASSO models indicate that poverty matters more strongly for development outcomes than does the Gini coefficient. Finally, instrumental variable estimates in conjunction with post‐LASSO models show that compared to Gini, poverty is more strongly causally associated with schooling and per capita income, but not institutional quality. Our results question the literature's overwhelming focus on the Gini coefficient. At the least, our results imply that the causal link from inequality (as measured by Gini) to development outcomes is tenuous.     

RELATIVE OR ABSOLUTE POVERTY LINES: A NEW APPROACH

When measuring poverty over time analysts must choose the value of the income elasticity of the poverty line, which essentially determines whether an absolute or relative poverty line is being used. The choice of this parameter is ultimately a value judgement, but this paper suggests an approach which has some empirical basis. Borrowing from the life-style and deprivation approach to poverty, various dimensions of poverty and deprivation are identified and the income elasticity of these items is used as the income elasticity of the poverty line. Data from the 1987 and 1994 Irish Household Budget Surveys suggest an upper bound of 0.7 for this parameter. Poverty measures using a number of values of the income elasticity of the poverty line are presented and test statistics are presented to determine whether observed differences in poverty measures are statistically significant.     

Persistent and Consistent Poverty in the 1994 and 1995 Waves of the European Community Household Panel Survey

This paper focuses on the mismatch between income and deprivation measures of poverty. Using the first two waves of the European Community Household Panel Survey, a measure of relative deprivation is constructed and the overlap between the relative income poor and relatively deprived is examined. There is very limited overlap with the lowest relative income threshold. The overlap increases as the income threshold is raised, but it remains true that less than half those below the 60 percent relative income line are among the most deprived. Relative deprivation is shown to be related to the persistence of income poverty, but also to a range of other resource and need factors. Income and deprivation measures each contain information that can profitably be employed to enhance our understanding of poverty and a range of other social phenomena. This is illustrated by the manner in which both income poverty and relative deprivation are associated with self-reported difficulty making ends meet.     

Testing stochastic income convergence in seasonal heterogeneous panels

In this paper we introduce a seasonal version of the Solow–Swan growth model and acquire an empirical income convergence equation. We take this equation as a basis to investigate whether income convergence exists in an OECD sample. To do this, we propose the test statistics under various asymptotic properties for some of the seasonal frequencies in the context of nonstationary heterogeneous panels. Critical values and moments of our statistics are generated and their finite sample performances are examined via Monte Carlo simulations.     

INCOME POVERTY AND MULTIDIMENSIONAL DEPRIVATION: LESSONS FROM CROSS‐REGIONAL ANALYSIS

The study of multidimensional deprivation has become one of the most relevant lines of research in the analysis of low‐income households. The search for significant relationships between multidimensional deprivation and income poverty has been a central issue and most empirical studies have found a very weak link. This paper aims at examining the possibility of an aggregation bias in national‐level studies, which could conceal disparities between regions. As regional differences and decentralization processes stand out in Spain as compared to other OECD countries, we focus the analysis on this country. Latent class models are used to define deprivation indices using the Spanish EU‐SILC. The results seem to show that the absence of significant relationships between both phenomena still holds at a regional level. The decomposition methods used in the paper show that it might be due to some regional singularities in some determining factors of income and multidimensional poverty.     

Sen measures of poverty in the United States: Cash versus comprehensive incomes in the 1990s

Recently developed statistical inference procedures for the Sen index and its components – the headcount, income gap and Gini index among the poor – are used to test explicit hypotheses concerning aggregate poverty in the United States for the period 1989 to 1997. Changes in Sen measures of poverty are investigated for cash and comprehensive income using the official poverty line and six additional poverty lines drawn using thresholds set at 50, 75, 125, 150, 175 and 200 percent of the official level. The paper also reports on the effects of using comprehensive income on subgroup poverty rates and on the demographic composition of the poor.     

On multidimensional poverty rankings of binary attributes

We address the problem of ranking distributions of attributes in terms of poverty, when the attributes are represented by binary variables. To accomplish this task, we identify a suitable notion of “multidimensional poverty line” and characterize axiomatically the Head-Count and the Attribute-Gap poverty rankings, which are the natural counterparts of the most widely used income poverty indices. Finally, we apply our methodology and compare our empirical results with those obtained with some other well-known poverty measures.     

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.     

Three Poverties in Urban China

Radical economic reform and rapid marketization in the late 1990s could be expected to create new poverty and insecurity in Chinese cities. Accordingly, the extent and nature of poverty in urban China is examined by means of a 1999 cross‐section household survey. Three types of poverty—“income and consumption”, “income not consumption” and “consumption not income”—are distinguished. A large proportion of the poor have income above, but consumption below, the poverty line. The estimated consumption function shows the importance of consumption smoothing, of precautionary considerations, of saving for investment opportunities, and of special needs related to the presence of children or sickness. An exercise is conducted to compare the three types of poverty by decomposing the divergence in the consumption of each poverty group from its benchmark consumption. Unpredicted financial assets and income, and differences in special needs, are important in contrasting and explaining the three poverties.     

贫困、不平等和农村非农产业的发展

本文利用农村家庭户的调查数据，从微观经济学的角度出发，研究了中国农村非农产业对农村地区收入不平等和贫困的影响。我们首先利用计量经济学方法，模拟家庭在不参与非农业活动情况下的收入水平，然后比较参与和不参与非农业活动两种情况下的收入分布。结果表明，非农业生产活动一方面缓解了农村地区的收入不平等状况，另一方面显著降低了农村的贫困化程度。缩小了贫困户间的收入差距，改善了最贫困户的收入水平。     

中国城市中的三种贫困类型

我们课题组在 1 999年进行了一次覆盖六省市的住户调查。本文利用这次调查数据对中国城市贫困的性质和特点进行了考察。通过综合考虑收入标准和消费标准 ,我们把中国城镇贫困分为三种类型 ,即持久性贫困、暂时性性贫困和选择性贫困。在贫困人口中 ,有一大部分是属于选择性贫困 ,即他们的收入高于贫困线而消费低于贫困线。我们对贫困户的消费函数进行了估计 ,其结果显示以下几个因素对贫困状况产生重要的影响 :修匀收入的效应 ;人们防备外部环境不确定性的心理 ;人们为将来投资而进行储蓄的行为 ;家庭对子女教育和医疗服务的特别需要。我们还对三种贫困类型进行了比较分析 ,从中发现预测的金融资产和预测的收入 ,以及教育和医疗的特殊需要都对不同类型的贫困户的消费行为起到重要的影响作用     

EQUIVALENCE SCALES, WELL-BEING, INEQUALITY, AND POVERTY: SENSITIVITY ESTIMATES ACROSS TEN COUNTRIES USING THE LUXEMBOURG INCOME STUDY (LIS) DATABASE

The Luxembourg Income Study (LIS) database on which this article is based offers researchers exciting new possibilities for international comparisons based on household income microdata. Among the choices the LIS microdata allows a researcher, e.g. income definition, income accounting unit, etc., is the choice of family equivalence scale, a method for estimating economic well-being by adjusting income for measurable differences in need.
The range of potential equivalence scales that can and are being used in the ten LIS countries and elsewhere to adjust incomes for size and related differences in need span a wide spectrum. The purpose of this paper is to review the available equivalence scales and to test the sensitivity of various income inequality and poverty measures to choice of equivalence scale using the LIS database. The results of our analysis indicate that choice of equivalence scale can sometimes systematically affect absolute and relative levels of poverty; and inequality and therefore rankings of countries (or population subgroups within countries). Because of these sensitivities, one must carefully consider summary statements and policy implications derived from cross-national comparisons of poverty and/or inequality.     

Donor ideology and types of foreign aid

We examine how donor government ideology influences the composition of foreign aid flows. We use data for 23 OECD countries over the period 1960–2009 and distinguish between multilateral and bilateral aid, grants and loans, recipient characteristics such as income and political institutions, tied and untied aid, and aid by sector. The results show that leftist governments increased the growth of bilateral grant aid, and more specifically grant aid to least developed and lower middle-income countries. Our findings confirm partisan politics hypotheses because grants are closely analogous to domestic social welfare transfer payments, and poverty and inequality are of greatest concern for less developed recipient countries.     

How reliable and consistent are subjective measures of welfare in Europe and Central Asia?

This paper analyses the reliability and consistency of subjective well‐being measures, using the Life in Transition Survey. Drawing on two life satisfaction questions with alternative scales, our results do not reveal substantial biases in accounts of life satisfaction due to framing. Subjective individual assessments of household relative income position, on the other hand, do not appear to be reliable predictors of objective poverty or wealth. We find that subjective relative income position is only weakly correlated with objective welfare measures. There are differences in evaluations of the household's relative standing across different household members, and these differences are correlated with respondent characteristics.     

The distributional impact of public services when needs differ

Despite a broad consensus on the need to take into account the value of public services in distributional analysis, there is little reliable evidence on how inclusion of such non-cash income actually affects poverty and inequality estimates. In particular, the equivalence scales applied to cash income are not necessarily appropriate when including non-cash income, because the receipt of public services is likely to be associated with particular needs. In this paper, we propose a theory-based framework designed to provide a coherent evaluation of the distributional impact of local public services. The valuation of public services, identification of target groups, allocation of expenditures to target groups, and adjustment for differences in needs are derived from a model of local government spending behaviour. Using Norwegian data from municipal accounts and administrative registers we find that the inclusion of non-cash income reduces income inequality by about 15% and poverty rates by almost one-third. However, adjusting for differences in needs for public services across population subgroups offsets about half the inequality reduction and some of the poverty decrease.