The subgroup decomposable intermediate indices of inequality

An inequality index is called subgroup decomposable if it can be expressed as a weighted sum of inequality values calculated for population subgroups plus inequality arising from differences among subgroup means. This paper derives the class of subgroup decomposable inequality indices that satisfies the Bossert–Pfingsten type intermediate inequality invariance. When the intermediate inequality equivalence concept coincides with the relative notion of inequality, the derived class becomes the Cowell–Shorrocks generalized entropy family. For comments and suggestions, we are grateful to Peter J. Lambert and two anonymous referees. We thank Chranjib Neogi for drawing the only figure of the paper.     

Migration and urban poverty and inequality in China

Using data from recent surveys of migrants and local residents in ten cities in 2005, this paper examines how migration influences measurements of urban poverty and inequality in China, and also compares how other indicators of well-being differ for migrants and local residents. Contrary to previous studies that report that the income poverty rate of migrant households is 1.5 times that of local resident households, we find relatively small differences in the poverty rates of migrants and local residents. Although the hourly wages of migrants are much lower than those of local residents, migrant workers work longer hours and have lower dependency ratios and higher labor force participation rates. Including migrants increases somewhat measures of urban income inequality. Significant differences between migrants and local residents are found for non-income welfare indicators such as housing conditions and access to social insurance programs.     

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.     

Simulation of the impact of economic policies on poverty and inequality: GEM in micro-simulation for the Algerian economy

This paper presents an illustration of the importance of computable general equilibrium modelling micro-simulation for simulating the impact of economic policies on living levels of households. The CGEM, as built, was used to simulate the effects of some economic policies on the economy and living levels of all households including the classes of modest, middle and wealthy households. In this context, pro-active economic policies are simulated in order to understand their effects on the macroeconomic plan and on the living level of some household categories defined according to statistical criteria. The first on the analysis of two arbitrarily selected tax policy cases, and the other on three investment policy simulations. Different illustrated simulations show improvements in economic growth and upward social mobility, particularly in the case of increasing the overall investment and improving productive capacity. In all simulations, that inequality would have remained rigid downward and would sometimes even accentuate. Overall, it appears that the increase in investment would boost economic growth through demand effect. However, this increase in demand would be met by more imports, which would damage our trade balance. The national productive system, however, could reverse this trend by making profitable investments by strengthening its productive capacity.     

Trade liberalisation,poverty, and inequality in Vietnam: a quantile regression approach

This study examines the effects of trade liberalisation on rural household welfare, poverty, and inequality in Vietnam, with the use of multiple estimation strategies, including the panel quantile regression approach based on Canay's two-step estimator. Taking account of the multi-faceted nature of trade liberalisation, we consider a set of household-level trade-related variables, including employment in export, import-competing, and manufacturing sectors. A unique panel data set is constructed from the Vietnam Household Living Standards Surveys conducted in 2002, 2004 and 2006. We find that employment in trade-related sectors contributes significantly to rural household welfare. Moreover, the effects of trade-related employment on welfare are heterogeneous across the welfare/income distribution, in that trade-related employment sectors have different influences on different groups/quantiles of households.     

A general class of additively decomposable inequality measures

Summary. This paper presents and characterizes a two-parameter class of inequality measures that contains the generalized entropy measures, the variance of logarithms, the path independent measures of Foster and Shneyerov (1999) and several new classes of measures. The key axiom is a generalized form of additive decomposability which defines the within-group and between-group inequality terms using a generalized mean in place of the arithmetic mean. Our characterization result is proved without invoking any regularity assumption (such as continuity) on the functional form of the inequality measure; instead, it relies on a minimal form of the transfer principle – or consistency with the Lorenz criterion – over two-person distributions. Received: October 27, 1997; revised: March 25, 1998     

National pro-poor spending programmes and their effect on income inequality and poverty: Evidence from Vietnam

This article examines the causal effects of the national (pro-poor) targeted programmes (NTPs) on both poverty incidence and inequality in Vietnam over the period 2002–2010. While the links between NTPs and poverty alleviation and income inequality have previously been analysed independently, this study is the first to offer a comprehensive analysis of NTPs expenditure on poverty and inequality simultaneously. Applying the system generalized method of moments estimator to a panel of Vietnamese regional data, we are unable to establish that NTPs have significantly mitigated poverty incidence. However, we estimate that NTPs have significantly increased inequality. We offer possible explanations why the NTPs have resulted in these unintended outcomes and discuss potential policies which can reduce both poverty and inequality.     

The impact of natural disasters on household income,expenditure, poverty and inequality: evidence from Vietnam

Natural disasters are expected exacerbate poverty and inequality, but little evidence exists to support the impact at household level. This article examines the effect of natural disasters on household income, expenditure, poverty and inequality using the Vietnam Household Living Standard Survey in 2008. The effects of a natural disaster on household income and expenditure, corrected for fixed effects and potential endogeneity bias, are estimated at 6.9% and 7.1% declines in Vietnamese household per capita income and expenditure, respectively. Natural disasters demonstrably worsen expenditure poverty and inequality in Vietnam, and thus should be considered as a factor in designing poverty alleviation policies.     

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.     

The impact of growth and inequality on rural poverty in China

This paper analyzes the evolution of poverty in China from the late 1980s to the late 1990s, employing a version of Shapley decomposition tailored to unit-record household survey data. The changes in poverty trends are attributed to two proximate causes—income growth and shifts in income distribution. Different data sets, poverty lines, poverty measures, and equivalence scales are used to examine the robustness of the results. Potential biases arising from ignoring differential regional prices and inflation are also investigated. Notwithstanding some ambiguities in the results, it is consistently found that rural poverty increased in the second half of the 1990s and adverse distributional changes are the main cause. Journal of Comparative Economics 34 (4) (2006) 694–712.     

Unfair inequality and growth*

Fighting against economic inequality is one fundamental social goal in the agendas of most governments. However, recent studies highlight that people actually prefer unequal societies, as they accept inequality generated by an individual's effort and wish to reduce only unfair inequality (generated by factors beyond an individual's control). This distinction might help to explain the fundamental unsolved question about whether inequality is good or bad for growth: unfair inequality (UI) could be growth-deterring, while fair inequality (FI) might be growth-enhancing. We derive a reduced-form growth equation from a stylized overlapping-generations model with human capital that includes FI, UI, and poverty. Then, using an instrumental variable approach, we show for alternative samples and inequality measures at the worldwide level that the estimated coefficient associated with UI is always negative, while the coefficient of total inequality increases when UI is included in the regression. Moreover, we find that poverty mediates this relationship because the higher the poverty rate, the smaller the impact of either type of inequality on growth.     

The impact of work and non‐work migration on household welfare,poverty and inequality

This article estimates the impact of work migration and non‐work migration on per capita income, per capita expenditures, poverty and inequality in Vietnam using data from the two most recent Vietnam Household and Living Standard Surveys. We find that both work migration and non‐work migration have a positive impact on per capita expenditures of migrant‐sending households. Non‐work migration significantly decreases the incidence, depth and severity of national poverty. The effect of work migration on poverty is much smaller. Still, while work migration does not lift people out of poverty, it makes their poverty less severe. In addition, both work migration and non‐work migration decrease inequality, albeit only very slightly.     

The probability of multidimensional poverty: A new approach and an empirical application to EU-SILC data

This paper proposes a novel method to analyze multidimensional poverty by using a large set of feasible weights to summarize the information about the poor, which enables remaining agnostic about the relative importance given to different poverty dimensions. This method allows for the calculation of the individual probability of being poor in a multidimensional perspective. The distribution of individual probabilities can then be combined with Generalized Lorenz dominance techniques to derive unanimous consent for a wide class of social welfare functions with a minimum load of value judgments. The innovations proposed here allow to move from a dual definition of poverty, where poor and non-poor individuals are classified in a mutually exclusive context, to a continuous measure of deprivation capturing both the extensive and intensive margin of multidimensional poverty. The empirical application of the method consists of measuring multidimensional poverty in ten selected countries using four waves of EU-SILC data (2008–2014).     

Poverty,inequality and ethnic minorities in Vietnam

The present study examines how and why ethnic minorities are poorer than ethnic majorities in Vietnam using the Vietnam Household Living Standards Survey data for 2002 and 2004. First, the analysis confirms that households belonging to the ethnic minority groups are not only poorer but also more vulnerable to various shocks than those in the ethnic majority groups, namely the Kinh and the Chinese. Second, household composition (e.g., dependency burden), education, land holding and location are important determinants of expenditure and poverty, whilst there is some diversity among different ethnic groups. Finally, the decomposition analyses reveal that the ethnic minorities are poorer not necessarily because they have more disadvantaged household characteristics (e.g., educational attainment or location), but, more importantly, because the returns to the characteristics are much lower for ethnic minorities than for the majorities. Government policies to reduce structural differences between ethnic majorities and minorities are imperative to address the disparities in returns to endowments between them.     

Stochastic dominance and behavior towards risk: The market for Internet stocks

Internet stocks registered large gains in the late 1990s, followed by large losses from early 2000. Using stochastic dominance theory, we infer how investor risk preferences have changed over this cycle, and relate our findings to utility theory and behavioral finance. Our major findings are as follows. First, risk averters and risk seekers show a distinct difference in preference for Internet versus “old economy” stocks. This difference is most evident during the bull market period (1998–2000) where Internet stocks stochastically dominate old economy stocks for risk seekers but not risk averters. In the bear market, risk averters show an increased preference for old economy stocks, while risk seekers show a reduced preference for Internet stocks. These results are inconsistent with prospect theory and indicate that investors exhibit reverse S-shaped utility functions.     

Poverty decompositions with counterfactual income and inequality dynamics

Traditional poverty accounting decomposes changes in a country's poverty headcount ratio into changes in income and inequality. We argue that this approach is unsatisfactory from the perspective of policy analysis because it compares a country in two points of time without taking the country's initial situation, and hence its potential for poverty reduction, into account. We thus suggest comparing traditional poverty decompositions with a counterfactual situation. This counterfactual indicates what a country starting from its initial situation could be expected to achieve in terms of income, inequality, and, hence, poverty developments. We construct those counterfactuals by modeling income and inequality trends characterized by convergence and a “Kuznets” relationship between inequality and development. Parameters in those relationships are estimated using PovcalNet survey data from 144 countries and we construct our counterfactual poverty predictions for 71 developing countries. While there is overall a tight relationship between actual developments and counterfactuals, we identify several cases, where both deviate from each other and discuss the policy implications. We also check for commonalities in differently performing countries and find that those who fell particularly short of expectations often underwent political transition and state fragility.     

Cost-Effective and Stochastic Dominance Approaches to Stochastic Pollution Control

Most economic studies of pollution externalities focus on the relative efficiency or cost-effectiveness of alternative pollution control instruments. Much less attention has been paid to policy goals and objectives. However, a comprehensive pollution control strategy depends on all of these choices. This paper examines several efficiency properties of cost-effective pollution control strategies in a stochastic setting when economic damages from pollution are unknown. A number of policy goals are considered. In this setting and under a primal approach, it is found that certain stochastic dominance conditions must be satisfied for the strategies to exhibit desirable efficiency properties. A dual approach to cost-effective pollution control, which is based on a stochastic dominance objective, is also considered.     

Vulnerability to poverty: an empirical comparison of alternative measures

This article compares empirically the several measures of individual vulnerability to poverty proposed in the literature, in order to understand which is the best signal of poverty that can be used for policy purposes. To this aim, the Receiver Operating Characteristic (ROC) curve, the Pearson and Spearman correlation coefficients are used as precision criteria. The results show that two groups of indexes can be identified, high and low performers, and, among the former, that proposed by Dutta et al. (2011 Dutta, I. 2011. Foster, J. and Mishra, A., On measuring vulnerability to poverty, Social Choice and Welfare, 37, 743–61 [Google Scholar]) is the most precise.     

Growth-equity decomposition of a change in poverty: An axiomatic approach

This paper studies a class of subgroup decomposable poverty measures whose changes may be decomposed into a growth component and a redistribution component. A set of reasonable axioms leads inexorably to a combination of the Watts measure and the poverty gap measure.     

Poverty among ethnic minorities: the transition process,inequality and economic growth

This article investigates the process of reducing poverty in ethnic minority households. Using two recent Vietnam household surveys, we find that ethnic minority households are more likely to be persistently poor and less likely to be persistently non-poor than ethnic majority households. The within-group component generated by the variation in income within each ethnicity group explains more than 90% of the change in total inequality. Income redistribution plays an important role in decreasing the poverty gap and decreasing poverty severity. Different ethnic groups have different poverty patterns, which should be noted when designing policies to alleviate poverty and inequality.