Inequality and welfare: Some axiomatic characterizations

AuthorLiu Qingbin,Satya R. Chakravarty,Nachiketa Chattopadhyay
DOIhttp://doi.org/10.1111/ijet.12169
Published date01 June 2019
Date01 June 2019
Inequality and welfare: Some axiomatic characterizations
Satya R. Chakravarty
, Nachiketa Chattopadhyay
y
and Liu Qingbin
z
We characterize social welfare functions, which, under ceteris paribus assumptions, rank income
distributions in exactly the same way as the negative of the Atkinson, Kolm–Pollak, and Theil
mean logarithmic deviation indices of inequality of income distributions. While the first two
characterizations rely on a general social welfare function, the third employs the symmetric
utilitarian structure of the welfare function. Implications of several subsets of the set of axioms
considered in the paper are also investigated.
Key words inequality, Atkinson index, Kolm–Pollak index, Theil index, social welfare,
characterization
JEL classification C43, D31, D63, O15
Accepted 20 April 2017
1 Introduction
Simple comparison of the income inequality levels of two distributions (using some index of
inequality) does not involve the differences between the mean incomes of the distributions under
consideration and therefore ignores an important factor which affects the welfare of a population. It
is now common practice to interpret alternative indices of inequality in terms of social welfare. The
influence of mean income on the welfare of a population may be so significant that it can reverse the
inequality ranking between two distributions. A social welfare function is increasingly related to the
mean income (efficiency) of a distribution and some decreasing transformation of its inequality
(equity). This ensures that when efficiency considerations are absent (mean income is fixed), an
increase in equity (i.e. a reduction in inequality) increases social welfare. Likewise, given the level of
inequality, an increase in mean income increases social welfare. A welfare function of this type is
popularly known as a reduced or abbreviated form of welfare function in the literature (see, for
example, Graaff 1977; Ebert 1987; Lambert 2001; Amiel and Cowell 2003; Chakravarty 2009a,b).
Now, a particular index of inequality can be interpreted in terms of welfare using more than one
welfare function. For instance, several authors, including Newbery (1970), Sheshinski (1972), Kats
(1972), Sen (1973, 1974), Chipman (1974), Kondor (1975), Blackorby and Donaldson (1978, 1980),
Donaldson and Weymark (1980, 1983), Lambert (1985), Weymark (1981), Kakwani (1985) and
Chakravarty (1988, 2009a,b), made attempts to relate the Gini index to different social welfare
functions. It may often be desirable to understand the implicit value judgments involved in the
Economic Research Unit, Indian Statistical Institute, Kolkata, India. Email: satya@isical.ac.in
y
Sampling and Official Statistics Unit, Indian Statistical Institute, Kolkata, India.
z
University of International Business and Economics, Beijing, China.

The authors thank an anonymous referee for many helpful comments and suggestions. Chakravarty thanks the University
of International Business and Economics, Beijing, China, for support.
doi: 10.1111/ijet.12169
International Journal of Economic Theory xxx (2018) 1–16 IAET 1
International Journal of Economic Theory
International Journal of Economic Theory 15 (2019) 153–168 © IAET 153
choice of a particular social welfare function. An axiomatic characterization can be helpful for this
purpose. An axiomatic characterization of a social welfare function provides a set of necessary and
sufficient conditions that uniquely isolate the welfare function. A characterization enables us to
understand the welfare function in terms of the axioms employed in the characterization exercise.
Consequently, axiomatic characterizations of different welfare functions can be helpful to separate
two functions on the basis of the axiom sets.
One objective of this paper is to characterize the Theil (1972) mean logarithmic deviation index
of inequality from a welfare-theoretic perspective. This is because no welfare-theoretic
characterization of the index exists in the literature. Our paper fills this gap. This index of
inequality is a scale-invariant or relative index; it remains invariant under equi-proportionate
changes in all incomes. It has many advantages. It is easy to compute from grouped data. An income-
by-income replication of the population does not change the value of the index. This property makes
the inequality index convenient for cross-population comparison of inequality. A (progressive)
transfer of income from anyone to someone with a lower income reduces the value of the inequality
index by a larger amount the lower the income of the recipient is. Given any partitioning of the
population into two or more subgroups using some homogeneous attribute, say age, sex, etc., among
all relative indices, it is the only index that can be expressed as the sum of the between-group and
within-group components of inequality, where the within-group factor is defined as the sum of the
population share weighted average of subgroup inequality levels and the between-group term is the
level of inequality that arises because of variation of mean incomes across subgroups (Bourguignon
1979). This particular decomposition of the mean logarithmic deviation index enables us to use the
two decomposed components to construct a reduced-form index of polarization, where between-
group inequality represents alienation across subgroups and within-group inequality is inversely
related to identification of individuals in respective subgroups (see Zhang and Kanbur 2001;
Rodriguez and Salas 2003; for a recent review, see also Chakravarty 2015). These considerations also
have led us to focus on the Theil (1972) index.
The second objective of the paper is to characterize the welfare function underlying the Atkinson
(1970) relative index of inequality using a set of axioms different from that employed by Atkinson
(1970). While Atkinson (1970) used the symmetric utilitarian criterion, the sum of identical
individual utility functions, as the welfare function, we do not impose any such restriction at the
outset. Rather additivity is derived from more primitive axioms in our characterization. It may be
noted that the Atkinson index is the only relative index which satisfies a notion of subgroup
decomposability introduced by Blackorby et al. (1981), when the subgroups are constituted by
partitioning the population in two or more subgroups. They used the well-known Atkinson–Kolm–
Sen equally distributed equivalent welfare incomes associated with different subgroups of the
income distribution to define within- and between-group components of inequality.
Kolm (1976) provided welfare-theoretic characterizations of the Atkinson (1970) index and the
Kolm–Pollak (Kolm 1976; Pollak 1971) absolute or translation-invariant index, which remains
unaltered under equal absolute translation of all incomes. While for the former it has been assumed
that the social welfare function is the product of equity and efficiency, for the latter it has been taken
as the difference between these two statistics. Chakravarty (2009b) provided much simpler proofs of
Atkinson’s (1970) and Kolm’s (1976) characterizations using the symmetric utilitarian framework.
Generality is lost to a large extent because of the specific forms of welfare functions used in Kolm’s
(1976) and Chakravarty’s (2009b) characterizations. For absolute indices, the Kolm–Pollak index
turns out to be the only index satisfying the notion of decomposition and subsequent aggregation
introduced by Blackorby et al. (1981). We therefore develop an alternative social welfare-based
characterization of the Kolm–Pollak index also using a more general structure and a more primitive
Inequality and welfare Satya R. Chakravarty et al.
2International Journal of Economic Theory xxx (2018) 1–16 IAET
International Journal of Economic Theory 15 (2019) 153–168 © IAET
154

To continue reading

Request your trial

VLEX uses login cookies to provide you with a better browsing experience. If you click on 'Accept' or continue browsing this site we consider that you accept our cookie policy. ACCEPT