Beyond Piketty: A new perspective on poverty and inequality in India

The socio-economic literature has focused much on how overall inequality in income distribution (frequently measured by the Gini coefficient) undermines the “trickle down” effect. In other words, the higher the inequality in the income distribution, the lower is the growth elasticity of poverty. However, with the publication of Piketty’s magnum opus (2014), and a subsequent study by Chancel and Piketty (2017) of evolution of income inequality in India since 1922, the focus has shifted to the income disparity between the richest 1% (or 0.01%) and the bottom 50%. Their central argument is that the rapid growth of income at the top end of millionaires and billionaires is a by-product of growth. The present study extends this argument by linking it to poverty indices in India. Based on the India Human Development Survey 2005–12 – a nationwide panel survey-we examine the links between poverty and income inequality, especially in the upper tail relative to the bottom 50%, state affluence (measured in per capita income) and their interaction or their joint effect. Another feature of our research is that we analyse their effects on the FGT class of poverty indices. The results are similar in as much as direction of association is concerned but the elasticities vary with the poverty index. The growth elasticities are negative and significant for all poverty indices. In all three cases, the disparity between the income share of the top 1% and share of the bottom 50% is associated with greater poverty. These elasticities are much higher than the (absolute) income elasticities except in the case of the poverty gap. The largest increase occurs in the poverty gap squared – a 1% greater income disparity is associated with a 1.24% higher value of this index. Thus the consequences of even a small increase in the income disparity are alarming for the poorest.     

Three faces of international inequality

Recent studies of international inequality have focused mostly on the trend in international income inequality. This article extends the analysis of international inequality to also include inequalities in education and health. Analyses of time-series data for more than 100 countries show that international income inequality declined from 1980 to 2003 as several large, poor Asian countries outpaced many Western countries in national income growth. By contrast, international health inequality followed a U-shaped trend, falling in the 1980s before rising in the 1990s. The turnaround in health inequality coincides with a trend of declining life expectancy in sub-Saharan Africa. International educational inequality experienced the sharpest recent decline, spurred by the global expansion of formal schooling. These findings confirm that there is more to international inequality than income inequality alone and suggest that patterns of inequality in the current era of globalization are likely more complex than many leading theories suggest.     

M-quantile models with application to poverty mapping

Over the last decade there has been growing demand for estimates of population characteristics at small area level. Unfortunately, cost constraints in the design of sample surveys lead to small sample sizes within these areas and as a result direct estimation, using only the survey data, is inappropriate since it yields estimates with unacceptable levels of precision. Small area models are designed to tackle the small sample size problem. The most popular class of models for small area estimation is random effects models that include random area effects to account for between area variations. However, such models also depend on strong distributional assumptions, require a formal specification of the random part of the model and do not easily allow for outlier robust inference. An alternative approach to small area estimation that is based on the use of M-quantile models was recently proposed by Chambers and Tzavidis (Biometrika 93(2):255–268, 2006) and Tzavidis and Chambers (Robust prediction of small area means and distributions. Working paper, 2007). Unlike traditional random effects models, M-quantile models do not depend on strong distributional assumption and automatically provide outlier robust inference. In this paper we illustrate for the first time how M-quantile models can be practically employed for deriving small area estimates of poverty and inequality. The methodology we propose improves the traditional poverty mapping methods in the following ways: (a) it enables the estimation of the distribution function of the study variable within the small area of interest both under an M-quantile and a random effects model, (b) it provides analytical, instead of empirical, estimation of the mean squared error of the M-quantile small area mean estimates and (c) it employs a robust to outliers estimation method. The methodology is applied to data from the 2002 Living Standards Measurement Survey (LSMS) in Albania for estimating (a) district level estimates of the incidence of poverty in Albania, (b) district level inequality measures and (c) the distribution function of household per-capita consumption expenditure in each district. Small area estimates of poverty and inequality show that the poorest Albanian districts are in the mountainous regions (north and north east) with the wealthiest districts, which are also linked with high levels of inequality, in the coastal (south west) and southern part of country. We discuss the practical advantages of our methodology and note the consistency of our results with results from previous studies. We further demonstrate the usefulness of the M-quantile estimation framework through design-based simulations based on two realistic survey data sets containing small area information and show that the M-quantile approach may be preferable when the aim is to estimate the small area distribution function.     

Working and disability expectancies at older ages: The role of childhood circumstances and education

The ability to work at older ages depends on health and education. Both accumulate starting very early in life. We assess how childhood disadvantages combine with education to affect working and health trajectories. Applying multistate period life tables to data from the Health and Retirement Study (HRS) for the period 2008–2014, we estimate how the residual life expectancy at age 50 is distributed in number of years of work and disability, by number of childhood disadvantages, gender, and race/ethnicity. Our findings indicate that number of childhood disadvantages is negatively associated with work and positively with disability, irrespective of gender and race/ethnicity. Childhood disadvantages intersect with low education resulting in shorter lives, and redistributing life years from work to disability. Among the highly educated, health and work differences between groups of childhood disadvantage are small. Combining multistate models and inverse probability weighting, we show that the return of high education is greater among the most disadvantaged.     

Public housing into private assets: Wealth creation in urban China

State socialist economies provided public housing to urban citizens at nominal cost, while allocating larger and better quality apartments to individuals in elite occupations. In transitions to a market economy, ownership is typically transferred to existing occupants at deeply discounted prices, making home equity the largest component of household wealth. Housing privatization is therefore a potentially important avenue for the conversion of bureaucratic privilege into private wealth. We estimate the resulting inequalities with data from successive waves of a Chinese national income survey that details household assets and participation in housing programs. Access to privatization programs was relatively equal across urban residents in state sector occupations. Elite occupations had substantially greater wealth in the form of home equity shortly after privatization, due primarily to their prior allocations of newer and higher quality apartments. The resulting gaps in private wealth were nonetheless small by the standards of established market economies, and despite the inherent biases in the process, housing privatization distributed home equity widely across those who were resident in public housing immediately prior to privatization.     

Exploring Neglected Dimensions of Social Policy: The SDW, Fiscal Welfare and the Exemplar of Local Taxation in England

Titmuss's Social Division of Welfare (SDW) thesis is a vitally important but much neglected element of social policy analysis. This article seeks to explore the SDW, with a particular focus on fiscal welfare. Fiscal welfare has been described as forming a hidden welfare state, and while taxation is one of the main ways in which governments affect the lives of citizens, studies of welfare pay remarkably little attention to its impact. Fiscal welfare is examined by using, as an exemplar, local taxation in England, a subject that itself is neglected within social policy. Local taxation in England is of interest because it illustrates the impact of a system of taxation on different groups of citizens, and how this can operate to the benefit of rich over poor citizens. This is because the current system is highly regressive, meaning that those on low and middle incomes spend proportionately more of their income paying the tax than do those on high incomes. What is of further interest is how within the debate about reform of local taxation, concern with regressivity becomes obscured and ceases to be the focus of attention. We are thus provided with an example of how fiscal welfare remains a hidden issue. The article concludes by arguing that social policy analysis needs to move beyond the narrow confines of social welfare and develop a broader understanding of welfare, based on the SDW.     

African-American and white inequality in the nineteenth century American South: a biological comparison

The use of height data to measure living standards is now a well-established method in economic history. By using a new source of nineteenth century Texas state prison records, the present study contrasts the heights of comparable blacks and whites between the Civil War and Reconstruction in the American South. White stature exceeded black stature. Between 1850 and 1870, black stature declined by more than 1 cm but recovered toward the end of the nineteenth century. Postbellum white stature declined by more than 1 1/2 cm over the same period yet never recovered.

The stratification of universities: Structural inequality in Canada and the United States

This paper conceives national systems of higher education as stratified populations of organizations. This stratification is a structural component of ‘horizontal inequality’ in higher education, and may be exacerbated by current pressures for colleges and universities to compete for resources and status. To explore this structural inequality, we compare the level of stratification in financial resources across four-year institutions in Canada and the United States over a 35-year period (1971–2006). Our analyses provide a first-look at this form of stratification, employing Gini coefficients, Lorenz curves, and boxplots. Our results provide new and compelling evidence of increasing structural stratification, even in Canada's predominantly publicly funded postsecondary system. Findings indicate that the distribution of resources is far more stratified in the American system, and that both systems have become more stratified over time. We conclude by situating structural inequality within more general processes of stratification in education.     

台湾高山族经济现状的分析

台湾高山族在过去的半个世纪中,经历了三个历史时期,实现了从传统的自然经济到商品经济的转变,但人均收入和生活水平依然远远不及台湾省平均水准,与一般家庭之间存在着较大的收入不平等。其主要原因在于高山族人口的产业结构相对落后和教育程度尚低,尤其是后者,更是民族经济可持续发展的决定因素。这些对于少数民族集中的西部地区大开发有一定的借鉴意义。     

不平等的再生产：从社会经济地位到健康不平等--基于CFPS2010的实证分析

本文利用2010年中国家庭追踪调查（ CFPS ）数据,探索性分析了社会经济地位影响健康不平等的两个中介机制－－健康预防机制和健康恢复机制。研究结果表明,健康预防机制中,社会经济地位影响生活方式,进而影响自评健康水平的假设得到部分验证,其中营养水平的中介效应得到验证;健康恢复机制中,社会经济地位影响医疗保健能力,进而影响自评健康水平的假设得到部分验证,其中医疗保健支付能力的中介效应得到证明。最后,分析发现,＂看病贵＂比＂看病难＂更能影响民众的健康状况。