“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.     

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.     

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.     

THE MEASUREMENT OF POVERTY WITH GEOGRAPHICAL AND INTERTEMPORAL PRICE DISPERSION: EVIDENCE FROM RWANDA

It is not known to what extent welfare measures result from seasonal and geographical price differences rather than from differences in living standards across households. Using data from Rwanda in 1983, we show that the change in mean living standard indicators caused by local and seasonal price deflation is moderately significant at every quarter. By contrast, the differences in poverty measures caused by this deflation can be considerable, for chronic as well as transient or seasonal poverty indicators. Thus, poverty monitoring and anti-poverty targeting can be badly affected by inaccurate deflation of living standard data. Moreover, when measuring seasonal poverty, the deflation based on regional prices instead of local prices only partially corrects for spatial price dispersion. Using annual local prices instead of quarterly local prices only yields a partial deflation, which distorts the measure of poverty fluctuations across seasons and biases estimates of annual and chronic poverty.     

MINIMUM WAGES AND HEALTHY DIET

A healthy diet is often unaffordable for low‐income individuals, so income‐lifting policies may play an important role in not only alleviating poverty but also in improving nutrition. We investigate if higher minimum wages can contribute to an improved diet by increasing consumption of fruits and vegetables. Exploiting recent minimum wage increases in the United States and using individual‐level data from the Behavioral Risk Factor Surveillance System we identify the causal effect of minimum wage changes on fruit and vegetable intake among low‐wage individuals in a triple‐differences framework. The estimated minimum wage elasticity of fruit and vegetable consumption equals 0.12. (JEL I12, I18, J38)     

EQUITY-SENSITIVE INDICATORS OF LIVING STANDARDS WITH AN APPLICATION TO NORTHERN IRELAND

The level of a region's achievement with respect to a particular outcome is usually measured by the mean value of that outcome. This, however, ignores the fact that the distribution of that outcome, between population or geographical subgroups in that region, may be unequal: in order to reflect this inequality, ‘equity‐sensitive’ indicators make a downward adjustment to the mean value of the outcome. This paper extends the notion of ‘equity‐sensitive’ indicators which take cognisance of inter‐group inequality, to ‘equity‐sensitive’ indicators which paid heed to intra‐group inequality. It constructs – using data from a Northern Ireland survey into poverty and social exclusion conducted in 2002/2003 –‘equity‐sensitive indicators’ of living standards in Northern Ireland. These take account of both the average level of the standard of living and also inequality in these levels between groups, and between persons in these groups.     

Poverty,inequality and growth in Albania

This article studies the distribution of well‐being and, specifically, the degree of poverty and deprivation in Albania, in the years 2002 and 2005, using Living Standard Measurement Surveys (LSMS). The distribution analysis is performed by applying both one‐dimensional and multidimensional approaches, in particular to better examine the link between economic growth, inequality and poverty in Albania. Furthermore, by estimating a non‐monetary indicator, as proposed by Bossert et al. ( 2007 ), and a nonlinear principal component model together with a probit model, the paper focuses on the multidimensional measures of poverty to address the relationship between poverty and socio‐economic factors. Our evidence shows that absolute poverty decreased from 2002 to 2005 while national relative poverty increased; economic growth reduced poverty in Albania over the observed period; and living in rural and mountain areas, being female, poorly educated and with a large family increased the probability of suffering from deprivation.     

Evaluating medical resource utilization and costs associated with thrombocytopenia in chronic liver disease patients

Abstract

Objective:

Thrombocytopenia (TCP), defined as platelet counts <150,000/µL, is a common complication of severe chronic liver disease (CLD). This retrospective study estimated the prevalence of thrombocytopenia in a large population of CLD patients and compared medical resource utilization and medical care costs by TCP status.

Methods:

A retrospective analysis was conducted on a longitudinal administrative claims database from a large US commercial health plan. Patients assigned CLD diagnosis codes from January 1, 2000–December 31, 2003 were identified; annual ambulatory visits, ER visits, inpatient stays, and general and CLD-related medical care costs for patients with vs without TCP (identified using diagnosis codes and platelet count data if available) were compared.

Results:

Of 56,445 patients with an ICD-9-CM diagnosis for CLD, 1289 (2.3%) had a diagnosis for TCP. CLD patients with vs without a TCP diagnosis had >2.5-times the annual number of liver disease-related ambulatory visits (3.6 vs 1.4; odds ratio [OR]?=?2.6, p?<?0.01); were 13-times more likely to have a liver-related inpatient stay (OR?=?13.0, p?<?0.01); were nearly 4-times more likely to have a liver-related ER visit (OR?=?3.9, p?<?0.01); had 3.5-fold greater mean annual overall medical care costs ($43,560 vs $12,270, p?<?0.01); and had 7-fold greater annual liver disease-related medical care costs ($9940 vs $1420, p?<?0.01). Similar results were seen for patients with platelet count data indicating TCP.

Limitations:

CLD and TCP are not always diagnosed, nor is diagnosis uniform or standardized; administrative claims data are subject to coding errors, and individuals covered are not necessarily representative of the general US population. The number of CLD patients in this study with TCP (n?=?1289) is small relative to that expected in the general US population.

Conclusions:

In this analysis, CLD patients with TCP used significantly more medical resources and incurred significantly higher medical care costs than those without TCP.     

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.     

Poverty is a Public Bad: Panel Evidence From Subjective Well‐Being Data

Previous research has found that subjective well‐being (SWB) is lower for individuals classified as being in poverty. We extend the poverty‐SWB literature by focusing on aggregate poverty. Using panel data for 39,239 individuals living in Germany from 2005–2013, we show that people's SWB is negatively correlated with the regional (state‐level) poverty ratio while controlling for individual poverty status and poverty intensity. This suggests that poverty is a public bad. The negative relationship between aggregate poverty and SWB is more salient in the upper segments of the income distribution and is robust to controlling for the rate of unemployment and per capita GDP. The character of poverty as a public bad suggests that poverty alleviation is a matter not only of distributive justice, but of allocative efficiency.     

FGT Old‐Age Poverty Measures and the Mortality Paradox: Theory and Evidence

Income‐differentiated mortality, by reducing the share of poor persons in the population, leads to the “Mortality Paradox”: the worse the survival conditions of the poor are, the lower is the measured poverty. We show that FGT measures (Foster et al ., 1984 ) are, in general, not robust to variations in survival conditions. Then, following Kanbur and Mukherjee ( 2007 ), we propose to adjust FGT poverty measures by extending the income profiles of the prematurely dead, and we identify the condition under which so‐adjusted FGT measures are robust to mortality changes. Finally, we show, on the basis of data from 2007 on old‐age poverty in 11 European economies, that the effect of extending income profiles of the prematurely dead on poverty measurement varies with: (1) the fictitious income assigned to the prematurely dead; (2) the degree of poverty aversion; (3) the shape of the (unadjusted) income distribution; and (4) the strength of the income/mortality relationship.     

Measuring chronic and transient components of poverty: a Bayesian approach

After the publication of Ravallion’s Econ J 98:1171–1182, 1988 seminal work on chronic and transient poverty, wide attention has been given to the components of poverty. We propose a Bayesian mixture model to measure poverty and divide it into chronic and the transient poverty using the Foster, Greer and Thorbecke (FGT) measure. These two types of poverty are illustrated using the Panel Study of Income Dynamics (PSID) data.      

LONGITUDINAL MEASURES OF POVERTY: ACCOUNTING FOR INCOME AND ASSETS OVER TIME

This paper uses data from the Survey of Income and Program Participation to estimate durations of poverty spells and to determine whether temporarily poor families have sufficient assets to cover the shortfall of their incomes below poverty—their personal poverty gaps. If poverty is measured using monthly rather than annual income data, four times as many persons enter poverty, but most spells are short: the median duration is between four and six months. More than one-third of all poverty spells are eliminated if financial assets are used to fill poverty gaps, but remaining poverty spells are longer. Separate estimates are made for the elderly and for families with children.     

Vulnerability Orderings for Expected Poverty Indices

Vulnerability to poverty refers to the risk of an individual or household falling below the poverty line. A partial vulnerability to poverty ordering is defined to indicate when a situation characterized by uncertainty means that people are more vulnerable to poverty than in another situation. The family of expected poverty indices used in this context contains versions under vulnerability of many well‐known poverty indices. The ordering resembles the Hardy et al. result on the Lorenz partial ordering. A separate ordering for the expected income gap ratio is also investigated. First‐order stochastic dominance is used to indicate when the expected value of the censored returns from the states increases.     

Middle Class,Government Effectiveness and Poverty in the EU: A Dynamic Multilevel Analysis

Using the 2008-2011 EU-Statistics on Income and Living Conditions data, we implement a dynamic three-level model to analyze poverty persistence in 26 EU countries. We isolate true state dependence phenomena by disentangling the effects of observed and unobserved heterogeneity at country level and employ cofactors not previously considered by the literature. Estimates show that unobserved heterogeneity across individuals remains large, even after explicitly controlling for the observable components of individual characteristics. The initial value of poverty has large effects on current poverty status but this effect is not uniform across countries. The risk of poverty is negatively related to the size of the structural middle class and to the level of structural social expenditure but it increases when lagged total public expenditure increases (with respect to the structural value). There is strong evidence of true state dependence.     

Viewpoint: Measuring the well‐being of the poor with income or consumption: a Canadian perspective

Abstract There is a long tradition of using consumption measures derived from Statistics Canada's household expenditures surveys to study material well‐being, inequality, and poverty. We offer an introduction to this research. Income and consumption measures give different pictures of the patterns of material well‐being in Canada, but the differences are not as large as in the US. We also provide a comparison to Meyer and Sullivan's results on data quality. Canadian expenditure surveys are of high quality. Unique aspects of these surveys (variation in quality control measures over time and the possibility of comparing to income tax data) provide important insights into the quality of survey data on income and consumption.     

A Consistent Poverty Approach to Assessing the Sensitivity of Income Poverty Measures and Trends

This paper examines the sensitivity of estimates of income poverty rates and trends to variations in the poverty line and to whether or not certain households are included or excluded from the sample used to estimate poverty. The approach draws on the concept of consistent poverty, which has been used to identify those with incomes below the poverty line who also experience deprivation. Our approach involves excluding households with incomes below the poverty line if they report zero or negative income or are self‐employed, have expenditure well in excess of their income, have substantial wealth holdings, or if they do not report having experienced financial stress over the past year. The combined impact of all four exclusions is to reduce the half‐median income poverty rate from 9.9 per cent to 5.4 per cent, but also suggests that poverty increased by more over the decade to 2003–04 than the original estimates indicate.     

Impact of remittances on male and female labor force participation patterns in Africa: Quasi‐experimental evidence from Ghana

In this paper, we examine how remittances, an outcome of labor mobility, affect labor market activities in Ghana using detailed household and individual‐level data. This is important, considering the extensive literature that has documented the remittance–poverty reduction nexus. First, we find a strong negative association between household remittance‐receiving status and individual labor supply decisions using instrumental variable estimation techniques. Second, we find the depressing effect of remittances on labor supply decisions to be much stronger in rural areas. Rural women who reside in remittance‐receiving households are less likely to be in the labor force compared with those who do not reside in such households. Remittances have very little impact on labor supply decisions in urban areas. Our findings support that remittances can exacerbate long‐term poverty reduction in rural areas through lower labor force participation, and as such rural‐based and gender‐based interventions may be needed to help redirect remittance income.     

HOUSING WEALTH AND U.S. MONEY DEMAND: A PANEL ESTIMATION

This article estimates a panel model for U.S. money demand using annual state‐level data for the period from 1977 to 2008. We incorporate housing wealth in the demand‐for‐money function and find strong evidence of a relationship between a broad monetary aggregate and housing wealth. This finding is robust to the inclusion of variables measuring financial heterogeneity across U.S. regions. Breaking up the sample in two subperiods shows that panel estimates including housing wealth yield more stable coefficients than both time‐series estimates and panel estimates excluding housing wealth. We also show that the link between money and housing wealth predates the recent boom‐and‐bust cycle. (JEL E41, E52)     

Land rental markets and rural poverty dynamics in Northern Ethiopia: Panel data evidence using survival models

There is growing interest in understanding the links between land reforms, land markets, and poverty reduction in Africa. The study uses four‐wave panel data from the northern highlands of Ethiopia to assess the dynamics of rural poverty taking into account the status of participation of rural households in the land rental market. Applying both nonparametric (Kaplan–Meier estimator) and semi‐parametric survival models that control for duration dependence of poverty transition, results show participation and degree of participation on the supply side of the tenancy market (landlords) have highly significant and positive effect on the chances of escaping poverty while the same cannot be said about the demand side of the tenancy market (tenants). The empirical evidence also confirms that households headed by older and literate people have relatively larger exit rates from poverty as compared with households headed by younger and illiterate ones. Though transacting farmers may engage themselves in win–win rental arrangements by the time they join the tenancy market, results indicate that gains are unequal as those tenants who enter the markets from low economic leverage (were poor) are liable to face a lower margin of net gains, which may limit their ability to move out of poverty.