IDENTIFYING THE POOR: POVERTY MEASUREMENT FOR THE U.S. FROM 1996 TO 2005

The poverty measure presented compares spending needs to resources available to meet those needs. The analysis is for the U.S.; however, lessons from other countries regarding desirable properties of a poverty measure are considered. A primary focus is internal consistency between thresholds and resources. This study is among the first for the U.S. to describe an internally consistent poverty measure, drawing from recommendations of the U.S. National Academy of Sciences (NAS). Thresholds reflect spending needs as “outflows.” Resources measure “inflows” available to meet spending needs. The U.S. Consumer Expenditure Survey is used for thresholds, and the Current Population Survey is the basis for resources. Trends are reported with comparisons to the official and a relative measure. An important finding is that increases in expenditures for shelter, captured in the NAS thresholds, suggest a greater increase in the number of families not able to meet basic needs than is reflected by official poverty statistics over this time period.     

Regional convergence of growth,inequality and poverty in India—An empirical study

The paper attempts to examine whether there is regional convergence of per capita consumption, inequality and poverty across various states in India. Using panel unit root tests that are robust to cross-sectional dependence, we find that inequality and poverty indicators converge at both rural and urban levels. Further, per capita consumption converges at urban level but not at rural level. Based on factor analysis, we find two groups of states for rural sectors, viz., low-growth and high-growth states, for each of which per capita consumption converges. We also attempt at identifying the responsible entities — central or state governments or both in cases where convergence is not achieved.     

The Hunger of Old Women in Rural Tanzania: Can Subjective Data Improve Poverty Measurement?

On average, women in Tanzania are slightly less likely than men to say that they are “always/often without enough food to eat”—but this masks a much higher rate of self‐reported food deprivation among elderly rural women. Official Tanzanian poverty statistics are, however, based on a methodology which presumes equal sharing per equivalent adult within the household. This paper combines subjective and objective micro‐data from Tanzania's 2007 Household Budget Survey and 2007 Views of the People Survey. By imputing individual consumption based on the relative probability of self‐reported food deprivation, it provides an example of the possible importance of one type of intra‐household inequality—i.e., the hunger of old women—for poverty measurement. Implications include the complexity of gendered intra‐household inequality and the importance of “technical” poverty measurement choices for public policy priorities, such as old age pensions.     

Local housing costs and basic household needs

The supplemental poverty measure (SPM)—which serves as an indicator of economic well-being in addition to the official poverty rate—was introduced in 2010 and explicitly adjusts for geographic differences in the cost of housing. By embedding housing costs, the SPM diverges from official measures in some instances, offering a conflicting view on family well-being. However, there is limited direct evidence of the impact of housing costs on household well-being, and virtually all of it focuses on food insecurity. This study examines the impact of local housing costs on household well-being using the “basic needs” data from the Survey of Income and Program Participation. Across a wide variety of specifications, no evidence is found that housing costs impact well-being. In contrast, local labor market conditions do impact the well-being measures in many specifications. The findings call into question one of the key motivations for the SPM—that geographic cost differences are a major factor for household well-being.     

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.     

Self‐Assessed Social Position and Poverty

In this article, we use microlevel data extracted from the 2006 Japanese General Social Surveys to analyze the relationships between self‐assessed social position and socioeconomic factors such as income and poverty. We provide the posterior results of the estimation of the Bayesian multivariate ordered probit model and propose an inequality measure for self‐assessed social position on the basis of the posterior results. We call the inequality measure “regret” and show that the distributions of regret differ for people above and below the poverty line.     

Quality,quantity, spending and prices

One measure of the change in the “quality” of consumption is the degree to which the consumption basket as a whole moves towards more luxurious goods, away from necessities. We introduce two related measures based on the luxury/necessity distinction. One is an index of the extent to which the prices of luxuries change as compared to necessities, while the second indexes the change in spending. These two measures are interpreted as the price of and spending on quality. The “volume” of quality is then spending deflated by its price. Using the recent International Comparison Program data for 100+ countries, we find that, on average, quality increases with income, but at a slower rate; luxuries are relatively more expensive in richer countries, necessities cheaper; and approximately 75 percent of additional spending on quality flows into a volume component, with the remaining 25 percent accounted for by prices.     

Can Health Savings Accounts Reduce Health Spending? Evidence from China

Health care costs are high and continue to rise in most major economies, and the health savings account (HSA) is often viewed as an appealing way to contain health care costs because it can potentially solve the moral hazard spending caused by traditional health insurance. This study uses data from the China Household Finance Survey (CHFS) to empirically examine the effectiveness of HSAs in containing medical expenses and reducing moral hazard. The findings show that HSAs that restrict the use of funds may lead enrollees to discount the value and thus spend more on health care. In addition, the positive effect of HSAs on medical expenses is larger for the relatively healthier group, which may suggest that moral hazard exists regarding the use of HSA funds. The empirical estimates of the HSA effect on medical expenses are robust when a set of covariates are controlled, and HSA balances are instrumented using housing savings account balances.     

Can social spending cushion the inequality effect of globalization?

This paper examines whether social spending cushions the effect of globalization on within‐country inequality. Using information on disposable and market income inequality and data on overall social spending, and health and education spending from the ILO and the World Bank/WHO, we analyze whether social spending moderates the association between economic globalization and inequality. The results confirm that economic globalization—especially economic flows—associates with higher income inequality, an effect driven by non‐OECD countries. Health spending is strongly associated with lower inequality, but we find no robust evidence that any kind of social spending negatively moderates the association between economic globalization and inequality.     

中国和印度不平衡发展的比较研究

本文考察了中国和印度近年来经济增长不平衡的情况,并分析了不平衡增长对不均等和贫困的影响。通过对家庭调查数据和官方加总数据的分析,本文发现增长存在不平衡——区域间、产业间和家庭层面上,这表明减贫工作进展不平衡,若增长更平衡,减贫效果可能更好;另外,收入不均等程度也在提高。本文探讨了增长不平衡及其应引起重视的原因。具体讨论围绕"有利的"和"不利的"不均等两个概念展开——不均等与不平衡增长对公平性以及长期增长与发展的有利或不利影响。我们认为,需要制定相关政策,保持有利的不均等——继续鼓励创新和投资,同时降低不利的不均等的程度,尤其是通过人力资本和农村基础设施投资,帮助贫困人口参与市场。     

Insurance of Household Risks and the Rebalancing of the Chinese Economy: Health Insurance,Health Expenses and Household Savings

This paper studies the effects of a public insurance system, the New Cooperative Medical Scheme (NCMS) on household savings in rural China. We develop a theoretical model in which we explain the impact of health insurance on savings through the impact of health insurance on out‐of‐pocket (OOP) health expense given the household level of wealth and seriousness of illness. We test the model empirically using data from the China Health and Nutrition Survey. We run endogenous and exogenous quantile regressions to evaluate the effects of NCMS participation on the distributions of household savings and OOP health expense. The impact of NCMS varies with the seriousness of illness. The NCMS induces an increase in OOP health expense for mild illness and, inversely, a decrease in health payments for more serious illnesses. The NCMS also leads to a higher incidence of catastrophic healthcare spending. The impact of the NCMS, given a certain state of illness, also varies with the household level of wealth. Poor households face health expense for both mild and serious illnesses. As the NCMS has opposite effects on the OOP expense for these two kinds of illness, we observe no effect on poor households’ precautionary savings. Because the decrease in OOP health expense for mild illness is larger for less poor households, the NCMS induces a decrease in their savings. For the most affluent households, the higher decrease in OOP spending on most moderate illness is dominated by a sharp increase in catastrophic expense, causing an increase in savings. To significantly reduce household savings and enhance household consumption, the NCMS has to offer better coverage against both serious and catastrophic health risks.     

Caste, Inequality, and Poverty in India

This paper analyses inequality and poverty in India within the context of caste‐based discrimination. It does so by decomposing the difference between (caste) Hindu and Scheduled Caste (SC) and Scheduled Tribe (ST) households in: their average household incomes; their probabilities of being in different income percentiles; their probabilities of being at different levels of poverty into: a “discrimination effect”, which stems from the fact that a household's income level, into which its (income‐generating) profile translates, depends on whether it is SC/ST; an “attributes (or residual) effect” which stems from the fact that there are systematic differences between SC/ST and Hindu households in their (income‐generating) profiles. The results, based on unit record data for 28,922 households, showed that at least one‐third of the average income/probability differences between Hindu and SC/ST households was due to the “unequal treatment” of the latter.     

Distress financing of out‐of‐pocket health expenditure in India

In the absence of a universal health insurance mechanism, the increasing burden of out‐of‐pocket (OOP) health expenditure has become a growing concern in India. To cope with the cost of illness, people use either their savings and income, or they have to rely upon distress means of finance such as depletion of household assets, borrowings from banks and moneylenders, and contributions from family and friends. This paper analyses the changes that have taken place in the incidence and covariates of distress financing in India by using data from National Sample Survey Organisation for the years 2004 and 2014. Results indicate that during this period the incidence of distress sources as a means to finance OOP health expenditure has hovered around 50%. Further, the results reveal a significant socioeconomic gradient in the incidence of distress financing. Socioeconomic and health‐related covariates significantly impact the likelihood of distress financing as a means to cope with OOP health expenditure. The results indicate the need for government action to formulate a comprehensive plan through an increase in public spending on health care that will improve the quantity and quality of the public health‐care system and enhance the scope of health insurance in India.     

What did Medicare do? The initial impact of Medicare on mortality and out of pocket medical spending

We study the impact of the introduction of one of the major pillars of the social insurance system in the United States: the introduction of Medicare in 1965. Our results suggest that, in its first 10 years, the establishment of universal health insurance for the elderly had no discernible impact on elderly mortality. However, we find a substantial reduction in the elderly's exposure to out of pocket medical expenditure risk. Specifically, we estimate that the introduction of Medicare was associated with a 40% decline in out of pocket spending for the top quartile of the out of pocket spending distribution. A stylized expected utility framework suggests that the welfare gains from such reductions in risk exposure alone may be sufficient to cover almost two-fifths of the costs of Medicare. These findings underscore the importance of considering the direct insurance benefits from public health insurance programs, in addition to any indirect benefits from an effect on health.     

Fiscal Incidence in Ghana

We use methods developed by the Commitment to Equity Institute to assess the effects of government taxation, social spending and indirect subsidies on poverty and inequality in Ghana. We also simulate several policy reforms to assess their distributional consequences. Results show that, although the country has some very progressive taxes and well‐targeted expenditures, the extent of fiscal redistribution is small, but about what one would expect given Ghana's income level and relatively low initial inequality. Results for poverty reduction are less encouraging: were it not for the in‐kind benefits from health and education spending, the overall effect of government spending and taxation would actually increase poverty in Ghana. Eliminating energy subsidies and at the same time reallocating part of the savings to well‐targeted transfer programs could lower the fiscal deficit while reducing inequality and protecting the poor.     

PUBLIC PROGRAMS PARE POVERTY: EVIDENCE FROM CHILE

This study examines the effect of government health care and education programs on the poor in Chile from 2000 to 2006. Results are obtained from a country-wide provincial-level panel data set with information on poverty and indigence head-count ratios, measures on the severity of poverty as captured by the Foster–Greer–Thorbecke P ₂ statistic, per capita public expenditures on health and education, as well as other variables that are thought to influence well-being. We use fixed-effects techniques to correct for time-invariant province-specific characteristics that may affect program placement. Our analysis demonstrates that per capita public health and education expenditures significantly reduce the incidence of poverty and indigence in Chile. In particular, for a 10,000 pesos (about $23) increase in provincial per capita health spending, the poverty head-count ratio decreases by 0.48 percent. Per capita education expenditures are particularly important to reducing the severity of poverty. Our results indicate that for a 10,000 pesos increase in education spending, the severity of poverty declines by as much as 1.53 percent. Furthermore, we provide evidence that public spending in Chile is non-random. In particular, government education expenditures may be allocated in keeping with compensatory motives.     

PRICES,INEQUALITY, AND POVERTY: METHODOLOGY AND INDIAN EVIDENCE

This paper uses a methodology for evaluating the distributional implications of price movement for inequality and poverty measurement. The methodology is based on a distinction between inequalities in nominal and real expenditure. The conversion of nominal to real expenditure takes into account the varying household preferences. The empirical application to the Indian budget datasets from NSS rounds 50, 55, and 61 shows the usefulness of the proposed procedures. The relative price changes in India have tended to be inequality and poverty reducing as confirmed by formal statistical tests. The result is robust to expenditure dependent equivalence scales. The progressivity of the relative price changes weakened in the second half of our time period as Fuel and Light overtook the composite group called “Miscellaneous” in recording the largest price increase. While the poverty rates registered a decline, which was marginal in the urban areas, there was a sharp increase in inequality.     

Economic Reforms and Human Development Indicators in India*

This paper sketches the contours of progress in India across a broad range of human development indicators, especially those related to the Millennium Development Goals. This paper also considers the slackening of the drop in poverty reduction since the 1990s (as compared to the 1980s) and the theme of increasing personal and regional inequality in India in the post‐reforms period. It also considers the even more persistent incidence of hunger in India and concludes by assessing the potential role of public policy in addressing the twin problems of slowdown in poverty alleviation and reduction of hunger.     

Evolutions in Consumption Inequality and Poverty in Greece: The Impact of the Crisis and Austerity Policies

Greece is the country hit hardest by the crisis and subsequent fiscal consolidation strategies, suffering a cumulative output loss of about 30 percent since 2008. The present paper presents evidence that along with declining average living standards, consumption inequality has seriously grown, fueled primarily by a disproportionate drop in the consumption levels of what can be considered the middle class. Although poverty has not significantly risen in relative terms, it climbs to around 45 percent once the poverty threshold is anchored to pre‐crisis levels. Furthermore, significant indirect tax hikes have further increased inequality in consumption expenditure. The paper also shows that several reforms launched in the name of reducing labor costs, broadening the tax base or rationalizing the targeting of social benefits have had detrimental effects on one of the most vulnerable population groups, namely families with children, thus implying that the social consequences of the crisis will be long‐lasting.     

TESTING POVERTY LINES

In theory, a poverty line can be defined as the cost of a common (inter‐personally comparable) utility level across a population. But how can one know if this holds in practice? For groups sharing common consumption needs but facing different prices, the theory of revealed preference can be used to derive testable implications of utility consistency knowing only the “poverty bundles” and their prices. Heterogeneity in needs calls for extra information. We argue that subjective welfare data offer a credible means of testing utility consistency across different needs groups. A case study of Russia's official poverty lines shows how revealed preference tests can be used in conjunction with qualitative information on needs heterogeneity. The results lead us to question the utility consistency of Russia's official poverty lines.