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2003
This paper discusses various measures of poverty and inequality found in the literature. Inequality measures discussed include the range, the variance, the coefficient of variation, the standard deviation of logarithms, the Gini coefficient, Theil's Entropy measure and Atkinson's inequality measure. Of these the mean log deviation, the Theil index and the coefficient of variation have come to be known as the Generalised Entropy class of inequality measures. As far as poverty indicators are concerned the Foster-Greer-Thorbecke measures, a class of generalised decomposable poverty measures, have become very popular in the literature. The paper also discusses some Stata do-files that were written in order to calculate poverty and inequality measures, with application to the Income and Expenditure Survey data of 1995.
The Economic Journal, 1981
When discussing the state of research on poverty and social security in Britain Atkinson (I977) pointed out that, in measuring the prevalence of poverty, attention has been focused upon the proportion of the population with an income below the poverty line. It is well known that as an index of poverty this has serious shortcomings-in particular, it is insensitive to how far below the poverty line the incomes of the poor fall. Alternative indices have been proposed: the United States Social Security Administration introduced the notion of poverty gaps (see Batchelder (I97I)), that is, the aggregate value of the difference between the incomes of the poor and the poverty line, while Sen (I976) has suggested that income inequality among the poor is also an important dimension of poverty. Atkinson (I977) therefore proposed that researchers experiment with a range of indices which incorporate such aspects of poverty, given the possibility that the measurement of poverty may be sensitive to the precise index employed. Beckerman (I979) has shown that the information content of poverty gaps very usefully supplements that provided by the aggregate incidence approach. However, to our knowledge, there has been no attempt in Britain to compute indices which take account of inequality among the poor. In this paper we hope to correct this omission, and in doing so comments will be offered on some proposed methods of incorporating such a consideration. A close examination of these has prompted us to propose two further indices which, although relying on the setting up of an alternative structure for analysing this problem, are firmly based on the approaches favoured in the existing literature. THE ECONOMIC JOURNAL [JUNE
Oxford Handbooks Online, 2016
The theory of inequality measurement can be founded on a few very simple principles concerning the comparison of income distributions. This chapter discusses the standard principles and the types of inequality indices that follow from them. It shows how these principles and indices can be related to conventional approaches to social-welfare analysis. Adjusting a few pieces within this same framework enables one to derive alternative, novel types of inequality indices and lays the basis for commonly-used types of poverty indices. The chapter also covers other general approaches to distributional comparisons including first-order and second-order dominance and their interpretation in terms of inequality and poverty.
1996
The aim of this paper is twofold. The first is to illustrate that a poverty index can be derived from a decomposition of an appropriate inequality index. The advantage of decomposing an inequality index is that the decomposition supplies additional information that is useful for poverty measurement. The second purpose is to illustrate the kind of policy analysis that can be performed with a decomposed inequality index by decomposing the Gini coefficient into Sen's poverty index and other components. The methodology suggests an answer to the following question: Assume that a tax has been imposed on an expenditure item or an income source, what will be the impact on the components of the inequality index? The analysis is performed with data from Romania. D 2002 Published by Elsevier Science B.V. 0176-2680/02/$ -see front matter D 2002 Published by Elsevier Science B.V. PII: S 0 1 7 6 -2 6 8 0 ( 0 1 ) 0 0 0 6 9 -6 www.elsevier.com/locate/econbase *
2009
A particular scale-invariant index of poverty is subjected to careful analysis. This leads to a new perspective, not seen before, on the family of subgroup-consistent and scaleinvariant poverty indices. Parametric families of new poverty indices are presented which offer the analyst a degree of flexibility in the choice of transfer sensitivity and distribution sensitivity which has not been available before now.
Working Papers, 2007
Downloadable! This paper deals with the proposal of a synthetic indicator to measure intensity of poverty. So, whereas incidence of poverty can be clearly measured using the headcount ratio indicator, according to Sen (1976) dimensions of poverty, the choice of a better intensity ...
This work concentrates in the fundamental ideas that constitute the existing theoretical framework of the poverty measurement from the 1960's to the state-of-the-art, with an extended comment on the more relevant issues, the presentation of more influencing approaches and the probable path of future research in Poverty Economics.
Bulletin of Economic Research, 2010
This paper identifies a multiplicative decomposition for the Foster-Greer-Thorbecke poverty indices as a product of the three components which should be involved in every poverty index: the incidence of poverty, measured by the headcount ratio, the intensity of poverty, measured by the aggregate income gap ratio and the inequality among the poor measured by an increasing transformation of the corresponding inequality index of the Generalized Entropy family. Then, taking data from the Spanish Household Budget Surveys (SHB) as a basis we show the advantages and possibilities of this framework in regard to completing and detailing information in studies of poverty over time.
Journal of Development Economics, 2012
Metron
The purpose of this paper is to present significant results on welfare theoretic approaches to income distribution based measurement problems. The topics covered are related to the measurement of inequality. Alternative forms of indices have been analyzed. The problem of ranking income distributions in terms of welfare, graphical techniques, different forms of equalizing transfers, stochastic dominance and inverse stochastic dominance have been studied extensively. Formal connections between these notions of orderings and dispersive ordering studied by statisticians is also discussed.
The multitude of available poverty measures can confuse a policy maker who wants to evaluate a poverty-reduction policy. We proposes a rule for ranking poverty measures by use of the food-gap, calculated as the cost-difference between a household's normative food basket, derived from a healthy diet, and the actually chosen food basket. The rationale for this indicator is based on the fact, that (1) basic food needs reflect an ultimate necessity, (2) food expenditure is highly divisibility, thus allowing for efficient marginal substitution between competing necessities when the household's economic hardship increases. For these reasons we believe this to be an objective indicator for the sacrifice in the standard of living of a family under economic stress. A household is identified as 'truly' poor or non-poor by a given poverty measure if the diagnoses coincide and vice versa. The ranking is obtained by a gain-function, which adds up congruent and deducts contradicting outcomes for each poverty measure. We calculate four types of gainfunctions -of headcounts, food-gaps, FGT-like powered food-gaps and an augmented version of the latter. The poverty measures include expenditure-based, income-based, relative, absolute, mixed measures and a multidimensional measure of social deprivation. The most qualitative measure is found to be Ravallion's Food Energy Intake and Share measure, though it suffers from a possible bias, since it includes the food-norm in its design. The 60%-median income measure from all sources ranks highest among the unbiased measures. The absolute poverty measure yields the worst performance.
Journal of Statistical Planning and Inference, 1996
One of the major topics that attracted the attention of econometricians in recent years is measurement of poverty. This paper reviews critically the conceptual and statistical issues that have been examined by the econometricians. The paper provides a comprehensive review of major recent approaches and results on measurement of poverty. It devotes one section to outline a new approach to the measurement of poverty that is based on the actual consumption behaviour of the people instead of on arbitrary choice of either a poverty line or a deprivation function. It devotes two sections for suggesting fruitful areas of research, one addressed to economists on synthesizing poverty measurement with applied welfare economics, and another to statisticians on problems of statistical inference associated with functional estimation. The paper also highlights the importance of reliability theory and risk assessment in translating consumption deprivation into a poverty measure. A new index of poverty that depends on risk of consumption deprivation is also proposed.
2019
This paper discusses the different approaches to poverty and the many implications following the methods. Poverty is understood dissimilarly according to the approaches and ideally an adequate estimation of poverty requires a combination of approaches. Which target is identified as poor is just as important as the method of carrying out alleviation itself and it makes all the difference from the development perspective. The main agenda of using an approach is to identify target groups. As we shall target groups differ across the different methods but there is also a convergence visibly present. Poverty is finally about measuring deprivation but the parameters of defining the bare minimum shift according to method.
Theoretical Economics Letters, 2011
In this paper, a new optimization-based approach to constructing a poverty index is considered. From a general perspective, first and second order conditions based on a general poverty intensity function are derived. Then using specific intensity functions defined by [1,3] respectively, we specify related necessary and sufficient conditions and the underlying poverty indices. An extension based on a large class of intensity function is also investigated.
1991
We propose a poverty measure that satisfies *a number of properties that make it sensitive to the level of absolute deprivation of the poor. These properties are often violated by several poverty measures discussed in the literature. The measure corresponds to a Cobb-Douglas social welfare function which has a number of egalitarian features.
Journal of European Social Policy, 2006
Review of Income and Wealth, 2000
Our aim in this paper is to show how recent developments in the theory and methods of poverty measurement can be applied to provide more accurate descriptions of poverty trends to the typical consumers of these statistics-policy analysts, policy-makers and their critics. Since Amartya Sen's (1976) classic critique of the "headcount" approach to poverty measurement, considerable progress has been made in constructing axiomatically-driven measures of "poverty intensity." These measures have had little influence outside the small world of experts who devised them largely because their mathematical representation has made their meaning obscure to potential users. We focus on the Sen-Shorrocks-Thon (SST) index and its elaboration by Osberg and Xu which provides the information contained in the index in a format that is easily accessible within traditional categories of poverty analysis. The SST index and its decomposition provide an analytical framework for discussing the underlying components of aggregate trends that allows for unambiguous answers to the usual policyrelated questions concerning the components of change as well as their magnitude and direction.
European Journal of Political Economy, 2002
The aim of this paper is twofold. The first is to illustrate that a poverty index can be derived from a decomposition of an appropriate inequality index. The advantage of decomposing an inequality index is that the decomposition supplies additional information that is useful for poverty measurement. The second purpose is to illustrate the kind of policy analysis that can be performed with a decomposed inequality index by decomposing the Gini coefficient into Sen's poverty index and other components. The methodology suggests an answer to the following question: Assume that a tax has been imposed on an expenditure item or an income source, what will be the impact on the components of the inequality index? The analysis is performed with data from Romania. D 2002 Published by Elsevier Science B.V.
2011
The multitude of available poverty measures can confuse a policy maker who wants to evaluate a poverty-reduction policy. We proposes a rule for ranking poverty measures by use of the food-gap, calculated as the cost-difference between a household's normative food basket, derived from a healthy diet, and the actually chosen food basket. The rationale for this indicator is based on the fact, that (1) basic food needs reflect an ultimate necessity, (2) food expenditure is highly divisibility, thus allowing for efficient marginal substitution between competing necessities when the household's economic hardship increases. For these reasons we believe this to be an objective indicator for the sacrifice in the standard of living of a family under economic stress. A household is identified as 'truly' poor or non-poor by a given poverty measure if the diagnoses coincide and vice versa. The ranking is obtained by a gain-function, which adds up congruent and deducts contradicting outcomes for each poverty measure. We calculate four types of gainfunctions-of headcounts, food-gaps, FGT-like powered food-gaps and an augmented version of the latter. The poverty measures include expenditure-based, income-based, relative, absolute, mixed measures and a multidimensional measure of social deprivation. The most qualitative measure is found to be Ravallion's Food Energy Intake and Share measure, though it suffers from a possible bias, since it includes the food-norm in its design. The 60%-median income measure from all sources ranks highest among the unbiased measures. The absolute poverty measure yields the worst performance.
Advances in Intelligent and Soft Computing, 2011
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