EQUIVALENCE SCALES, WELL-BEING, INEQUALITY, AND POVERTY: SENSITIVITY ESTIMATES ACROSS TEN COUNTRIES USING THE LUXEMBOURG INCOME STUDY (LIS) DATABASE

The Luxembourg Income Study (LIS) database on which this article is based offers researchers exciting new possibilities for international comparisons based on household income microdata. Among the choices the LIS microdata allows a researcher, e.g. income definition, income accounting unit, etc., is the choice of family equivalence scale, a method for estimating economic well-being by adjusting income for measurable differences in need.
The range of potential equivalence scales that can and are being used in the ten LIS countries and elsewhere to adjust incomes for size and related differences in need span a wide spectrum. The purpose of this paper is to review the available equivalence scales and to test the sensitivity of various income inequality and poverty measures to choice of equivalence scale using the LIS database. The results of our analysis indicate that choice of equivalence scale can sometimes systematically affect absolute and relative levels of poverty; and inequality and therefore rankings of countries (or population subgroups within countries). Because of these sensitivities, one must carefully consider summary statements and policy implications derived from cross-national comparisons of poverty and/or inequality.     

Food expenditures and household demographic composition in the US: a demand systems approach

Food expenditures and subsistence quantities of poverty status and non–poverty status US households are analysed within a Linear Expenditure System that postulates subsistence quantities to be linear combinations of demographic variables. Using the US Bureau of Labor Statistics' 1992 Consumer Expenditure Survey and Detailed Monthly Consumer Price Indices, this article obtains expenditure elasticities, own–price elasticities and subsistence quantities for each income group across nine broadly aggregated food commodity groups. Elasticity estimates and subsistence quantity estimates differ across income groups, supporting the premise that policies targeted at specific income groups should be based on the target group's elasticity estimates rather than average population elasticities. Parameter estimates are then used to simulate how subsistence quantities and own–price elasticities can be expected to vary according to the demographic composition of the household within a specific income group.     

A CROSS-COUNTRY STUDY OF EQUIVALENCE SCALES AND EXPENDITURE INEQUALITY ON UNIT RECORD HOUSEHOLD BUDGET DATA

Inequality comparisons require equivalence scales to account for differences in household size and composition. The multiplicity of equivalence scale models makes the sensitivity of the inequality calculations to the scale used a significant policy issue. Such an investigation based on unit records of two adult households from Italy, Australia, South Africa, Thailand, Peru, Philippines, India and Tanzania was our principal motivation. The equivalence scale varies across countries and between different types of children. Inequality rankings of countries, though not the inequality decomposition between households of different composition, are robust to the equivalence scale used.     

Testing for poverty dominance: an application to Canada

Abstract The paper proposes and applies statistical tests for poverty dominance that check for whether poverty comparisons can be made robustly over ranges of poverty lines and classes of poverty indices. This helps provide both normative and statistical confidence in establishing poverty rankings across distributions. The tests, which can take into account the complex sampling procedures that are typically used by statistical agencies to generate household‐level surveys, are implemented using the Canadian Survey of Labour and Income Dynamics (SLID) for 1996, 1999, and 2002. Although the yearly cumulative distribution functions cross at the lower tails of the distributions, the more recent years tend to dominate earlier years for a relatively wide range of poverty lines. Failing to take into account SLID’s sampling variability (as is sometimes done) can inflate significantly one’s confidence in ranking poverty. Taking into account SLID’s complex sampling design (as has not been done before) can also decrease substantially the range of poverty lines over which a poverty ranking can be inferred.     

IS THERE BIAS IN COMPUTING HOUSEHOLD EQUIVALENCE SCALES?

Household equivalence scales are often used to help perform welfare comparisons across households with different demographic composition. Abstracting from the problems of value judgments and ethical standards, the use of equivalence scales to perform welfare comparisons still faces several measurement problems, namely the identification problem and the endogeneity problem. This paper introduces and estimates an unconditional demand system that simultaneously addresses these two problems. By explicitly considering the demand for leisure, and the fact the household can choose some of its demographic characteristics, we deal with the endogeneity problem and obtain consistent estimates. We identify unconditional equivalence scales by estimating the demand for endogenous demographic variables along with the demand for leisure and consumer goods. More general equivalence scales allowing for better comparability are estimated and used for welfare comparisons.     

DEMOGRAPHIC DEMAND SYSTEMS WITH APPLICATION TO EQUIVALENCE SCALES ESTIMATION AND INEQUALITY ANALYSIS: THE AUSTRALIAN EVIDENCE

This paper proposes and applies an alternative demographic procedure for extending a demand system to allow for the effect of household size and composition changes, along with price changes, on expenditure allocation. The demographic procedure is applied to two recent demand functional forms to obtain their estimable demographic extensions. The estimation on pooled time series of Australian Household Expenditure Surveys yields sensible and robust estimates of the equivalence scale, and of its variation with relative prices. Further evidence on the usefulness of this procedure is provided by using it to evaluate the nature and magnitude of the inequality bias of relative price changes in Australia over a period from the late 1980s to the early part of the new millennium.     

REDUCING INEQUALITIES AMONG UNEQUALS

This article establishes an equivalence between four incomplete rankings of distributions of income among agents who are vertically differentiated with respect to some nonincome characteristic (health, household size, etc.). The first ranking is the possibility of going from one distribution to the other by a finite sequence of income transfers from richer and more highly ranked agents to poorer and less highly ranked ones. The second ranking is the unanimity among utilitarian planners who assume that agents' marginal utility of income is decreasing with respect to both income and the source of vertical differentiation. The third ranking is the Bourguignon (Journal of Econometrics, 42 (1989), 67–80) Ordered Poverty Gap dominance criterion. The fourth ranking is a new dominance criterion based on cumulative lowest incomes.     

HOUSEHOLD NEEDS AND POVERTY: WITH APPLICATION TO SPAIN AND THE U.K.

We examine the sensitivity of U.K.-Spanish poverty comparisons to variations in the dependence of equivalence scales on household size and composition, using evidence from national household budget surveys. We sum up these comparisons using subjective confidence levels. Taking into account the dissimilarities in the distribution of incomes and needs across countries, we find, inter alia , that although the poor are typically more numerous in Spain than in Britain, the actual headcount differences may vary by up to 10 percent of the population when needs allowances are altered, even when kept the same across the two countries. Comparisons of poverty composition across the two countries are also very sensitive to the choice of equivalence scale parameters. Generally, however, the proportion of single adults among the poor is much less important in Spain than in Britain, the reverse being true for households with three or more adults.     

Accounting for Cross‐Country Differences in Wealth Inequality

There is considerable cross‐country variation in levels of household wealth and in wealth inequality. This paper assesses the extent to which these differences can be accounted for by differences in the distributions of households' demographic and economic characteristics. A counterfactual decomposition analysis of micro data from five countries (Italy, U.K., U.S., Sweden and Finland) is used to identify the effects of characteristics on component wealth holdings, their value and their distribution. The findings of the paper suggest that the biggest share of cross‐country differences is not attributable to the distribution of household demographic and economic characteristics but rather reflect strong unexplained country effects.     

USING PSEUDO‐PANELS TO MEASURE INCOME MOBILITY IN LATIN AMERICA

This paper presents a comparative overview of mobility patterns in 14 Latin American countries between 1992 and 2003. Using three alternative econometric techniques on constructed pseudo‐panels, the paper provides a set of estimators for the traditional notion of income mobility as well as for mobility around extreme and moderate poverty lines. The estimates suggest very high levels of time‐dependent unconditional immobility for the Region. However, the introduction of socioeconomic and personal factors reduces the estimate of income immobility by around 30 percent. There are also large variations in country‐specific income mobility (estimated to explain some additional 10 percent of inter‐temporal income variation). Analyzing the determinants of changes in poverty incidence within cohorts revealed statistically significant roles for age, gender, and education of the household head, the latter subject to distinctive effects across levels of attainment and transition in and out of poverty.     

The Impact of Transfers and Taxes on Alternative Poverty Indexes

Changes in the headcount rate are the standard metric for gauging how public transfers and taxes affect US poverty. An alternative strategy, one theoretically more appealing and complete, is to rely on distribution-sensitive indexes (Sen 1976, 1981). How would policy's measured impacts change if such an approach were to be used? This study provides empirical evidence using three selected poverty indexes from the class developed by Foster et al . (1984). Pre- and post-policy values of each index are estimated for the total population and for twenty-three demographic sub-groups using data from March Current Population Surveys covering the period 1992 to 1998. The results indicate that the alternative indexes produce consistent ordinal rankings of policy's impact. (In contrast, the measured cardinal effects of policy differ substantially across indexes.) The empirical evidence has a clear implication for anti-poverty policy: government transfers and taxes are effective in lowering poverty headcount rates, in reducing the depth of poverty and in lessening the relative deprivation among the poor.     

Demographics and aggregate household saving in Japan,China, and India

We use a model of household life-cycle saving decisions to quantify the impact of demographic changes on aggregate household saving rates in Japan, China, and India. The observed age distributions help explain the contrasting saving patterns over time across the three countries. In the model simulations, the growing number of retirees suppresses Japanese saving rates, while decreasing family size increases saving for both China and India. Projecting forward, the model predicts a decline in household saving rates in Japan and China.     

“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.     

A Cross Country Comparison of Child Nutrition and Investigation of its Demographic Determinants

This study pools data on child anthropometrics and on their determinants from Pakistan, Peru, Jamaica, Russia and South Africa. It, then, estimates regression equations of child height and weight, measured by the Z-scores, on both combined country data and, separately, for each country. Moreover, the study estimates the child height and weight equations, separately, for young (0–36 months) and older children (37–72 months) and provides evidence on the impact of household assets and of a household’s access to basic amenities on the health of its children. The child health in the five countries chosen, which are culturally, economically, politically and geographically, quite diverse, are compared. The paper finds that the hard core cases of child malnutrition are not necessarily related to poverty or inequality. Female education plays an effective role in improving child health, with its beneficial effects considerably enhanced in households with access to public information through the radio or the TV.

     

URBAN POVERTY IN CHINA AND ITS CONTRIBUTING FACTORS, 1986–2000

Food price increases and the introduction of radical social welfare and enterprise reforms during the 1990s generated significant changes in the lives of urban households in China. During this period urban poverty increased considerably. This paper uses household level data from 1986 to 2000 to examine what determines whether households fall below the poverty line over this period and investigates how the impact of these determinants has changed through time. We find that large households and households with more nonworking members are more likely to be poor, suggesting that perhaps the change from the old implicit price subsidies, based on household size, to an explicit income subsidy, based on employment, has worsened the position of large families. Further investigation into regional poverty variation indicates that over the 1986–93 period food price increases were also a major contributing factor. Between 1994 and 2000 the worsening of the economic situation of state sector employees contributed to the poverty increase.     

POVERTY IN POLAND DURING THE 1990s: ARE THE RESULTS ROBUST?

This study examines the robustness of poverty measures for Poland in the 1990s to employed methods. At least two definitions or techniques of estimation are applied to each of the following components of poverty measures: (1) household well-being; (2) poverty line; (3) equivalence scales; and (4) poverty index. Furthermore, groups at risk of poverty are selected by means of decomposition of the poverty incidence and by estimation of the probit model. Relatively robust conclusions can be reached for trends in absolute poverty incidence, which show an inverted U-shape with rapidly increasing poverty rates in 1993–1995 and declining rates since, but with continued increases in relative poverty. Some robust correlates of high poverty (low education, unemployment, rural residence, large number of children) are also found.     

The Impacts of Unemployment on Alternative Poverty Rates

The analysis uses March Current Population Survey data to estimate state-level cross-section/time-series models of the effects of the unemployment rate on alternative poverty rates. The measures include the official headcount rate, and alternatives based higher thresholds, revised equivalence scales and income defined as inclusive and exclusive of taxes and cash and in-kind transfers. The estimated effects turn critically on the measurement approaches, both for the total sample population and for four population sub-groups. For several alternative poverty rate measures, the unemployment rate has no significant impact on poverty. By contrast, real per-capita median earnings have strong and consistently negative effects on the poverty rates of all groups studied. The findings thus provide important lessons for researchers exploring the links between economic conditions and poverty, and for policy makers developing poverty reduction strategies.     

Will Economic Partnership Agreements Increase Poverty? The Case of Uganda

Economic Partnership Agreements (EPAs) between the EU and African Caribbean and Pacific countries are frequently criticized because of fears about negative implications for economic development. Using Uganda as a case study, this paper employs an integrated computable general equilibrium‐microsimulation model framework rich in household‐level detail to assess the consequences of the East African Community EPA for economic output and poverty in Uganda. Simulations of the agreement's tariff liberalization provisions indicate a very small negative economic impact and ambiguous outcomes for poverty. The poverty results depend in size and sign on the poverty line, on the way the government addresses tariff revenue losses and on labor market assumptions.     

Measuring economic freedom: an alternative functional specification and subsequent ranking

ABSTRACT

The widely cited Economic Freedom of the World index is an aggregate measure of economic freedom calculated by using a simple arithmetic mean of scores over five sub-dimensions: (1) size of government, (2) legal structure and security of property rights, (3) access to sound money, (4) freedom to trade internationally and (5) regulation of credit, labour and business. The use of a simple arithmetic mean implicitly assumes that the different sub-dimensions are ‘perfect substitutes’. To explore the implications of this assumption, we compute an aggregate economic freedom score and ordinal ranking of countries, by taking a geometric mean of the five sub-dimensions. For this alternative specification, the marginal impact of each sub-dimension on the aggregate score is no longer independent of the other sub-dimension scores. Consequently, countries with inconsistent levels of economic freedom across sub-dimensions are ‘punished’ to a greater degree than are countries with less variability across sub-dimensions. Our alternative specification results in considerable movement in terms of country rankings. The geometric mean measure does not appear to explain economic growth as well as the arithmetic mean measure.     

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.