Differentiating Between Dimensionality and Duration in Multidimensional Measures of Poverty: Methodology with an Application to China

We develop a multidimensional poverty measure that is sensitive to the within‐individual distribution of deprivations across dimensions and time. Our measure combines features from a static multidimensional measure (Alkire and Foster, 2011a ) and a time‐dependent unidimensional measure (Foster, 2009 ). The proposed measure separately identifies—and can therefore be decomposed according to—the proportion of the poverty score attributable to: (i) the concentration of deprivations within periods; (ii) the concentration of deprivations within dimensions. In doing so it allows for a poverty ranking that is robust to assumptions about the trade‐off between the two components. Previous measures have not allowed for the features proposed here due to the inability to calculate the exact contribution of each dimension to overall poverty. We overcome this by adapting to our measure the Shapley decomposition proposed in Shorrocks ( 2013 ) (based on Shapley, 1953 ). The measure is applied to data from China, 2000‐2011.     

A NEW MULTIPLICATIVE DECOMPOSITION FOR THE FOSTER–GREER–THORBECKE POVERTY INDICES

This paper shows that Foster–Greer–Thorbecke poverty indices can be written as the product of components summarizing the incidence, intensity and inequality dimensions of poverty and provides an empirical illustration of the decomposition using Spanish household budget surveys data.     

Contributions of Longitudinal Data to Poverty Measurement in Australia*

Chronic poverty is of greater social consequence than transitory poverty but its measurement requires longitudinal data. This article uses six waves of data from the Household, Income and Labour Dynamics in Australia Survey to explore the extent to which longitudinal data contribute to what is known about poverty from cross‐section data. We find an imperfect correspondence between people’s annual poverty status and chronic poverty status. Consequently, policies that aim to reduce chronic poverty using means‐tested benefits may be partially misdirected if beneficiaries are identified using annual income. Furthermore, some households experiencing chronic poverty may fall through the safety net.     

Decomposing Vulnerability to Poverty

This paper applies the decomposition of the Foster–Greer–Thorbecke poverty index to the measurement of individual vulnerability to poverty. I highlight that poverty risk can be expressed as a function of expected incidence, expected intensity, and expected variability below the poverty line, three essential aspects for improving the design of appropriate risk‐management policies. An empirical illustration is provided using the British Household Panel Survey and the Italian Survey on Household Income and Wealth.     

ANALYSIS OF POVERTY AND EFFICIENCY: AN EARNINGS FRONTIER APPROACH

The paper introduces the concept of an earnings frontier in explaining monthly consumption expenditure (a proxy for income) in terms of human capital and endowments of a household. Individuals who translate their potential earning into actual earnings enjoy a fully efficient position. In contrast, individuals who earn less than their potential earnings suffer from some kind of earnings inefficiency. The paper estimates an earnings frontier using the Corrected Ordinary Least Square (COLS) method and classifies households in terms of efficiency scores. Splitting the sample into an efficient and an inefficient part based on the estimated frontier and a bench mark efficiency score, the status of poverty in the two parts (groups) is studied. The poverty gap between the groups is then decomposed into a characteristics effect and a coefficients effect using the familiar Oaxaca decomposition methodology. The paper also tries to establish a link between the notion of efficiency and the coefficients effect in the Oaxaca decomposition methodology. The results obtained are interpreted in light of the poor but efficient hypothesis.     

Fuzzy Chronic Poverty: A Proposed Response to Measurement Error for Intertemporal Poverty Measurement

A number of chronic poverty measures are now empirically applied to quantify the prevalence and intensity of chronic poverty, vis‐à‐vis transient experiences, using panel data. Welfare trajectories over time are assessed in order to identify the chronically poor and distinguish them from the non‐poor, or the transiently poor, and assess the extent and intensity of intertemporal poverty. We examine the implications of measurement error in the welfare outcome for some popular discontinuous chronic poverty measures, and propose corrections to these measures that seeks to minimize the consequences of measurement error. The approach is based on a novel criterion for the identification of chronic poverty that draws on fuzzy set theory. We illustrate the empirical relevance of the approach with a panel dataset from rural Ethiopia and some simulations.     

“When Life Gives You Lemons”: Using Cross-Sectional Surveys to Identify Chronic Poverty in the Absence of Panel Data

At the core of poverty eradication is the need to eliminate that poverty that is persistent over time (chronic poverty). Unfortunately, traditional approaches to identifying chronic poverty require longitudinal data that is rarely available. In its absence, this paper proposes an alternative approach that only requires 1 year of cross-sectional data on monetary and non-monetary poverty. It puts forth two conjectures and contends that the combined profile of a household as both income poor and multidimensionally poor can be used as a proxy of that household being chronically income poor. To explore the viability of this approach, we use a probit model and longitudinal data for three Latin American countries to estimate households’ probabilities of remaining in income poverty based on their past income and multidimensional poverty statuses. We find empirical support for the approach that is significant, consistent across countries, and robust to various controls and periods of analysis.     

Decomposing the contribution of migration to poverty reduction: methodology and application to Tanzania

In an economy with migration, poverty changes are composed of a number of forces, including the income gains and losses realized by the various migration streams. We present a simple but powerful decomposition methodology that uses panel data to measure the contributions of different migration streams to overall poverty change. An application to Tanzania shows the new insights that are provided – in particular on the role of migration to secondary towns in poverty reduction.     

MONITORING ABSOLUTE AND RELATIVE POVERTY: “NOT ENOUGH” IS NOT THE SAME AS “MUCH LESS”

Financial poverty indicators assess which people have few financial resources and are thereby at risk of having an unacceptably low living standard. Most countries use one or several “official” poverty indicators, but they typically use either an absolute or a relative benchmark to determine what is unacceptable; absolute benchmarks are based on basic needs or rights while relative benchmarks depend on what is considered to be a “normal” living standard. Applying the absolute U.S. and the relative EU poverty indicators on the U.S. and 15 EU member states, this research shows that it makes sense to use both benchmarks.     

More Relatively‐Poor People in a Less Absolutely‐Poor World

Relative deprivation, shame, and social exclusion can matter to the welfare of people everywhere. The paper argues that such social effects on welfare call for a reconsideration of how we assess global poverty. We argue for using a weakly‐relative measure as the upper‐bound complement to the lower‐bound provided by a standard absolute measure. New estimates of poverty are presented. The absolute line is $1.25 a day at 2005 prices, while the relative line rises with the mean, at a gradient of 1:2 above $1.25 a day, consistently with national poverty lines. We find that the incidence of both absolute and weakly‐relative poverty in the developing world has been falling since the 1990s, but more slowly for the relative measure. While the number of absolutely poor has fallen, the number of relatively poor has changed little since the 1990s, and is higher in 2008 than 1981.     

Examining energy poverty in Chinese households: An Engel curve approach

This article is first to model energy poverty in Chinese households using an Engel curve approach. To analyse the determinants of energy poverty and energy expenditures across households, we avail the 2015 wave of the Chinese General Social Survey (CGSS). Possible presence of endogeneity is accounted for in the model specification as well as by using the Lewbel heteroscedasticity identified endogenous variables estimator. In addition, we are the first to scrutinise disparity and discrimination by conducting the Blinder–Oaxaca decomposition of energy poverty model by gender, ethnicity, region (Eastern vs. non-Eastern provinces), and urbanisation status (rural vs. urban residents). Our analysis shows: (i) education is the key determinant of various energy poverty measures and energy expenditure shares across Chinese households; (ii) other determinants including fossil fuel mix and electricity price discrimination are found to worsen energy poverty, on average. However, fossil fuel mix is found to increase expenditure share of total energy, electricity, and coal and decrease that of biomass; and (iii) the Blinder–Oaxaca decomposition analyses show no statistically significant gender or ethnic discrimination in energy poverty rates. However, there is substantial divide between Eastern and non-Eastern provinces and between rural and urban households—with these groups also discriminated against when accessing clean cooking fuels and technologies. The Blinder–Oaxaca results also generally support the logistic and the Lewbel energy poverty model findings.     

中国多维贫困的动态测算、结构分解与精准扶贫

贫困的多维福利剥夺程度高低和持续时间长短是近年来理论界关注的焦点,也是政府制定精准扶贫政策的重要理论依据.文章综合Alkire和Foster(2011)提出的多维贫困测算方法和Foster(2009)提出的长期贫困测算方法,构建了长期多维贫困指数和暂时多维贫困指数,实证分析了中国的贫困状况,并进行了城乡分解、指标分解和区域分解.结果发现:第一,样本家庭在多维视角下的长期贫困比例要高于暂时贫困,这与单一地从收入角度来分析长期贫困和暂时贫困的结论恰好相反;第二,对于所有类型的贫困而言,教育年限、医疗保险和健康的贡献度都排在前三位,但健康对于长期贫困人口的贡献度要明显高于暂时贫困;第三,总体看来,农村的多维贫困程度不仅高于城市,而且很多指标的贫困持续时间也要高于城市;第四,从四大区域看,经济发展水平较低的中西部地区,长期多维贫困程度要高于东部和东北部地区.     

THE IMPORTANCE OF CONSECUTIVE SPELLS OF POVERTY: A PATH‐DEPENDENT INDEX OF LONGITUDINAL POVERTY

In this paper we propose a new index of individual poverty in the longitudinal perspective, taking into account the way poverty and non‐poverty spells follow one another along individual life courses. The Poverty Persistence Index (PPI) is based on all the pairwise distances between the waves of poverty. The PPI is normalized and it assigns a higher degree of (longitudinal) poverty to people who experience poverty in consecutive, rather than separated, periods, for whom the distances from the poverty line are larger along time and moreover, when the worst years are consecutive and/or recent. We also propose an aggregate index of persistence in poverty (APPI) in order to measure the distribution of the persistence of poverty in a society, and evaluate at once the diffusion of poverty, its depth, duration, and recentness. The indices are tested in comparison with other measures from the literature both at the individual as well as at the societal level.     

THE PERSISTENCE OF INCOME POVERTY AND LIFESTYLE DEPRIVATION: EVIDENCE FROM ITALY

This article estimates poverty persistence over an individual's lifetime, using two definitions: income poverty and a multidimensional index of lifestyle deprivation. We stress the ability of the two definitions to provide a generally consistent characterization of poverty persistence risks faced by various population subgroups, but also the additional insights to be gained by analysing the two definitions in parallel in a longitudinal context. The results of multiple‐spell hazard rate models highlight the weaknesses of the Italian labour market, the insufficiencies of the existing social security system, and the deep territorial dualism in generating persistent poverty for certain groups of the population.     

Chronic and transient poverty: Measurement and estimation, with evidence from China

The paper contributes to the measurement of poverty and vulnerability in three ways. First, it proposes a new approach to separating poverty into chronic and transient components. Second, it provides corrections for the statistical biases introduced when using a small number of periods to estimate the importance of vulnerability and transient poverty. Third, it applies these tools to the measurement of chronic and transient poverty in China using a rich panel data set that extends over 17 years. Alternative measurement techniques are found to yield significantly different estimates of the relative importance of chronic and transient poverty. The precision of the estimates is also considerably enhanced by simple statistical corrections.     

中国农村人口贫困变动研究——基于多维脱贫指数测度

本文通过多维贫困识别方法构建相应指数，提出了在返贫和脱贫不同方向上对多维贫困的变动进行分解的思路。同时，用2010—2014年中国家庭追踪调查数据对中国农村人口多维贫困的变动进行了分解，得出以下结论：第一，收入依然是农村人口多维贫困的主要维度，但在改善收入贫困的同时应该防范健康维度返贫的风险。第二，农村人口的多维贫困状况在不断改善，但是由于返贫的影响，脱贫的效果受到了较大削弱，因此在注重脱贫的同时，不应忽视返贫的风险。第三，持续贫困人口贫困状况虽然后来有所改善，但是2012年的恶化状况提示我们对于暂时未能脱贫的人口，还需要采取措施缓解其贫困状况。     

Decomposing the changes in poverty: Poverty line and distributional effects

When measuring poverty in developed countries, the poverty line used to identify the poor is usually relative and set as a percentage of the median (or of the mean) of the total income. In consequence, when poverty is analyzed over a period of time, changes in the poverty level depend on the impact of evolving standards. To eliminate this effect, sometimes, an anchored poverty line is used. Furthermore, changes in the mean of the distribution and in the inequality among the poor may also affect the poverty levels. This note proposes a decomposition of the changes in poverty as the sum of four terms. The first two reflect the impact in poverty of changes in living standards and the other two measure the effect of the distributional growth and redistribution. This decomposition will help policymakers in the implementation of a more specific antipoverty agenda. An application with data from the European Union Survey on Income and Living Conditions shows the potential of the decomposition proposed.     

MEASURING POVERTY ACCOUNTING FOR TIME

In this paper we make a methodological proposal to measure poverty accounting for time by proposing a new family of intertemporal poverty indexes that aims at reconciling the way poverty is measured in a static and a dynamic framework. Our index is able to consider the duration of the poverty spell and the social preference for equality in well‐being given that, in contrast with others that have been previously proposed, it is sensitive to the level of inequality between individual complete poverty experiences over time. Moreover, other indices in the literature can be interpreted as special cases of our more general measure. An empirical illustration shows the relevance of considering the distribution of poverty experiences among the population in an international analysis.     

Decomposing poverty changes into vertical and horizontal components

Variations in aggregate poverty indices can be due to differences in average poverty intensity, to changes in the welfare distances between those poor of initially unequal welfare status and/or to emerging disparities in welfare among those poor of initially similar welfare status. This note uses a general cost‐of‐inequality approach that decomposes the total change in poverty into a sum of indices of each of these three components. This decomposition can serve inter alia to integrate horizontal and vertical equity criteria in the poverty alleviation assessment of social and economic programmes. The use of these measures is briefly illustrated using Tunisian data.     

Poverty Dynamics in Turkey

This paper examines poverty dynamics in Turkey using a nationally representative panel data covering the 2005–08 period. The aim is to understand mobility in and out of poverty and its correlates. We find that almost a quarter of the poor are persistently poor. The conditional and unconditional exit rates that we estimate are within the range of values reported for developed countries in the literature. That the income events—but not transfers—dominate both poverty entries and exits is indicative of the major role labor markets play in the lives of the poor. In particular, we argue that given the characteristics of the poor and modest levels of social assistance, the reason for mobility rates close to European averages must be sought in the informal economy.