Testing Prediction Performance of Poverty Models: Empirical Evidence from Uganda

This paper examines the performance of a method of predicting poverty rates. Because most developing countries cannot justify the expense of frequent household budget surveys, additional low‐cost methods have been developed and used. The prediction method is based on a model linking the proportion of poor households to suitable explanatory variables (consumption proxies). These consumption proxies are variables that can be collected at much lower cost through smaller annual surveys. Several applications have shown that such models can produce poverty estimates with confidence intervals of a similar magnitude to the poverty estimates from the household budget surveys. There is, however, limited evidence of how well the methods perform out‐of‐sample. A series of seven household budget surveys conducted in Uganda in the period 1993–2005 allows us to test the prediction performance of the model. We test the poverty models by using data from one survey to predict the proportion of poor households in other surveys, and vice versa. The results are encouraging, as all models predict similar poverty trends. Although in most cases the predictions are precise, sometimes they differ significantly from the poverty level estimated from the survey directly.     

Always Poor or Never Poor and Nothing in Between? Duration of Child Poverty in Germany

Abstract. This paper analyses the duration of child poverty in Germany. Observing the entire income history from the individuals' birth to their coming of age at age 18, we are able to analyse dynamics in and out of poverty for the entire population of children, whether they become poor at least once or not. Using duration models, we find that household composition, most importantly single parenthood, and the labour market status as well as level of education of the household head are the main driving forces behind exit from and re‐entry into poverty and thus determine the (long‐term) experience of poverty.     

Non-monetary poverty in Togo: a multidimensional approach

The monetary approach is not sufficient to understand the multiple dimension of poverty. The purpose of this research is therefore to measure and analyze multidimensional poverty reduced to a single non-monetary dimension and according to the characteristics of household heads. Based on the non-monetary variables provided by the most recent country survey (QUIBB 2006), we use Multidimensional Correspondence Analysis techniques to construct a Composite Poverty Indicator. The results of the non-poverty index suggest that the poorest are large families and households in rural areas. The deprivation is also more serious in households whose heads are male, aged between 51 and 99 and less educated. The findings are the same for the monetary approach at the poverty line, leading to the conclusion that both types of poverty are quite strongly and positively correlated. Finally, we propose some recommendations for socioeconomic policies.     

农村社会养老保险制度分析——以北京市大兴区为例

农村社会养老保险能否建立并保持可持续发展,仅仅依靠需求动机是不够的,还需要政府的态度、财政能力、农民的意愿、制度设计的合理性等多方面条件。结合北京市大兴区农村社会养老保险试点方案,对上述问题作了简要分析。农村全面实行社会养老保险制度的时机还不够成熟。从防范老年贫困风险的角度出发,对处于贫困线以下的人群提供最低收入保障,尽快建立农村最低生活保障制度和完善农村社会救助制度是目前大多数农业地区比较理性的选择。     

孟加拉乡村银行小额信贷模式及其启示

孟加拉经济学家尤努斯创办的“格拉明银行”，又称“乡村银行”（Grameen Bank，简称GB），通过向农民提供小额信贷的形式，有效地改变了孟加拉农村的贫困状况。经30年的发展，其运作模式已趋成熟。本文着眼于对“乡村银行一组织模式的分析，总结其成功经验和可借鉴之处。同时反思我国小额信贷组织的发展现状和不足，以期借鉴孟加拉的成功经验，使小额信贷组织在我国的新农村建设中能发挥相应的作用。     

中国城市老年人贫困程度的探讨

根据国际流行的贫困距指数研究方法，在中国老龄科研中心1992年调查和2000年调查数据的基拙上，以城市老年人家庭作为计量单位，从支出口径探讨了中国部分省、直辖市的城市老年人90年代贫困的状况和发展趋势。对比了两次调查相同省份城市低收入老年人群体的收入变化情况。这一特定群体的老年人在90年代收入增长缓慢，有可能陷入以收入口径侧量的深度贫困。对如何改善城市贫困老年人的救助提出了对策建议。     

THE POVERTY REDUCTION SUCCESS OF PUBLIC TRANSFERS FOR WORKING AGE IMMIGRANTS AND REFUGEES IN THE UNITED STATES

Although there has been some research on the impacts of federal tax and transfer policies on poverty rates for immigrants, virtually no previous work investigates the most disadvantaged group of immigrants: refugees. We estimate probit models for three standard measures of poverty. We find that while immigrants and refugees in particular had much higher poverty rates in the early 1990s, the strong economic growth of the 1990s led to a convergence of those poverty rates by 2000. Our analysis demonstrates that the improvement was largely because of economic conditions and that welfare reform policies appear to have little differential impact on immigrants or refugees. We also find that refugees show a markedly greater response to local labor market conditions than other immigrants or native born. (JEL H3, I3, J1)     

Impact of education and health on poverty reduction: Monetary and non-monetary evidence from Fiji

Fiji signed the United Nations 2015 target of halving extreme poverty from its 1990 level, but like many developing countries it is facing challenges in meeting this goal. This paper presents the economic modelling using Fiji's Household Income and Expenditure Survey 2002/03 dataset to examine the economic and social factors crucial for poverty reduction. Two hypotheses are tested: first, we estimate the monetary effects of education at the aggregate and disaggregated returns to education (primary, secondary, tertiary levels) and by income quartiles, and second, test the non-monetary education and health factors as channels of impact promulgated as effects against poverty prevalence. The monetary results indicate that all income quartile households (i.e. lowest to highest) benefit from additional skills obtained through formal education. While those at the lowest income quartile in particular benefit the most from formal education, however it cannot sustainably prevent people with only primary education from falling into poverty. The results for non-monetary models show that education has a positive and significant influence on the tendency of the people to engage in health prevention activities and in acquiring good housing facilities.     

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.     

THE WELFARE STATE AND POVERTY IN FINLAND AND SWEDEN FROM THE MID-1960s TO THE MID-1980s

Using poverty lines representing the fixed basket of goods and services, the development over time of poverty in Finland and Sweden are compared. In both countries, poverty decreased rapidly between the mid-1960s and the mid-1970s, after which changes have been less dramatic. During the first part of the 1980s poverty continued to decrease in Finland, but increased in Sweden. Comparisons for age-groups showed large reductions in poverty rates among the aged in both countries. Poverty has shifted from the permanent old age poverty towards a more temporary poverty in young adulthood.
International comparisons show that in the early 1980s both Finland and Sweden had poverty rates below the average of the affluent Western nations. Furthermore, these comparisons suggest that cross-national variations in poverty rates are partly explained by the size of the welfare state. Also, time series analysis shows that income transfers have taken an increasing number of people out of poverty in both countries.     

A NON‐PARAMETRIC MEASURE OF POVERTY ELASTICITY

We estimate the growth elasticity of poverty (GEP) using recently developed non‐parametric panel methods and the most up‐to‐date and extensive poverty data from the World Bank, which exceeds 500 observations in size and represents more than 96 percent of the developing world's population. Unlike previous studies which rely on parametric models, we employ a non‐parametric approach which captures the non‐linearity in the relationship between growth, inequality, and poverty. We find that the growth elasticity of poverty is higher for countries with fairly equal income distributions, and declines in nations with greater income disparities. Moreover, when controlling for differences in estimation technique, we find that the reported values of the GEP in the literature (based on the World Bank's now‐defunct 1993‐PPP based poverty data) are systematically larger in magnitude than estimates based on the latest 2005‐PPP based data.     

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.     

Escaping Poverty: Risk-Taking and Endogenous Inequality in a Model of Equilibrium Growth

Recent macroeconomic models of income distribution generate equilibria characterized as poverty traps. These models specify a production indivisibility such that, due to problems of asymmetric information in credit or capital markets, poor agents are never able to acquire the resources necessary to overcome the indivisibility. In the context of an equilibrium growth model, this paper demonstrates that faced with such constraints, poor, risk-averse agents have incentives to voluntarily take on risk in the hopes of exiting poverty. Each period they remain in poverty, they sacrifice a small amount of current consumption to pool resources for this risky activity. Risk-taking, economic mobility, and the distribution of income are generated endogenously. Furthermore, beginning from identical endowments, “initial” inequality also emerges endogenously. It is shown that voluntary risk-taking eliminates many potential steady-state equilibria of this and other models—those that exhibit individual poverty traps. All agents (or dynasties) expect to escape at some future date, perhaps after an extended spell in poverty.     

中国城市老年人贫困程度的探讨

根据国际流行的贫困距指数研究方法,在中国老龄科研中心1992年调查和2000年调查数据的基础上,以城市老年人家庭作为计量单位,从支出口径探讨了中国部分省、直辖市的城市老年人90年代贫困的状况和发展趋势。对比了两次调查相同省份城市低收入老年人群体的收入变化情况。这一特定群体的老年人在90年代收入增长缓慢,有可能陷入以收入口径测量的深度贫困。对如何改善城市贫困老年人的救助提出了对策建议。     

Trade Liberalization and Spatial Inequality: a Methodological Innovation in a Vietnamese Perspective

The authors calibrate two static computable general‐equilibrium (CGE) models with 16 and 5999 representative households. Aggregated and disaggregated household categories are consistently embedded in a 2000 social accounting matrix (SAM) for Vietnam, mapping on a one‐to‐one basis. Distinct differences in poverty assessments emerge when the impact of trade liberalization is analyzed in the two models. This highlights the importance of modeling micro‐household behavior and related income and expenditure distributions endogenously within a static CGE model framework. The simulations indicate that poverty will rise following a revenue‐neutral lowering of trade taxes. This is interpreted as a worst‐case scenario, which suggests that the government should be proactive in combining trade liberalization measures with a pro‐poor fiscal response to avoid increasing poverty in the short to medium term.     

The impact of Nepal's earthquake on the health status of rural children

We study the impact of Nepal's 2015 earthquake on the health status of children aged 0–5 years. Using a difference-in-differences approach we find that the earthquake decreased height-for-age z-scores (HAZ) and that this effect is largely driven by females, who experienced an average decline of −0.763 standard deviations in their HAZ. Further, we find that females in the 0–3 years age group and in the least wealthy households are the most vulnerable. This is particularly unfortunate, as the first 3 years of life can impact long-term health and well-being, and female undernutrition contributes to the intergenerational transmission of poverty and ill health.     

Poverty traps,aid, and growth

This paper examines the empirical relevance of the poverty trap view of underdevelopment. We calibrate simple aggregate growth models in which poverty traps can arise due to either low saving or low technology at low levels of development. We then assess the empirical relevance of these specific mechanisms and their consequences for policy. We find little evidence of the existence of poverty traps based on these two mechanisms. When put to the task of explaining the persistence of low income in African countries, the models require either unreasonable values for key parameters, or else generate counterfactual predictions regarding the relations between key variables. These results call into question arguments in favour of a large scaling-up of aid to the poorest countries that are premised on the existence of such poverty traps.     

How Should We Measure Poverty in a Changing World? Methodological Issues and Chinese Case Study

This study asks whether, in a rapidly changing world, the estimated proportion of the world's population with income below US$1 (adjusted according to purchasing power parity) per day is still a good measure of trends in poverty. It argues that strong economic growth in nations such as China implies that the commonly accepted international poverty line definition of one half median national equivalent income is increasingly relevant and that poverty intensity (the normalized deficit or Foster–Greer–Thorbecke (FGT) index of order one) is a better summary index. This index has a convenient graphical representation—the “poverty box”. Using the proposed poverty line and the example of ranking the level of rural poverty in Chinese provinces, the study demonstrates how poverty intensity replicates the poverty rankings of the Sen family of poverty indices and captures most of the information content of higher‐order FGT indices.     

多维贫困测量及述评简

贫困的测量是各国贫困研究关注的焦点,测量方法随着对贫困概念认识的深化不断变化。如何科学合理地对多维贫困指数进行筛选,成为多维贫困分析和测量的关键。研究发现,非公理标准下的多维贫困指数具有算法简单、操作方便等优点,但缺陷在于各维度间相关性较强且权重分配具有主观性;公理化标准下的多维贫困指数,虽然在指数维度加总问题上存在异议,但满足了大部分公理的要求,且测量结果更稳健。     

POVERTY DYNAMICS DURING TRADE REFORM: EVIDENCE FROM RURAL VIETNAM

This paper implements and adapts the conceptual framework developed by Winters (2002) that identifies the transmission mechanisms between trade policy reform and household welfare outcomes. We make use of household panel data from Vietnam collected in two years, 1992–93 and 1997–98 that span the very earliest years of the reform period and its immediate after effects. Poverty dynamics are modeled using changes in consumption expenditure and poverty transition models. The trade effect is captured by a set of variables that are most likely to have an impact on rural poverty, namely prices of staples and employment in the export sector. We show that trade liberalization has a material and positive effect on rural household welfare and this trade effect is largely transmitted to the poor through the labor market channel.