E U R O P E A N U N IV E R S IT Y IN S T IT U T E , F L O R E N C E DEPARTMENT OF ECONOMICS f ^ ' T O ^ | N G P A P E R No. 88/353 OF GOVERNMENT TAXES ELAND: A COMPARISON )F REDISTRIBUTIVE IMPACT by Niall O ’HIGGINS
Thanks are due to Massimo Marrelli, Peter Lambert and John Hutton for comments on previous drafts. Any remaining errors are, of course, my own.
BADIA FIESOLANA SAN DOMENICO (F I)
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(C) Niall O ’Higgins Printed in Italy in June 1988 European University Institute
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-1-Abstract.
In this paper we consider some issues in the
measurement of the progressivity of State taxes and
benefits. In particular, two indices based on the concept of
redistributive impact are analysed and compared. The first
measure was suggested by Blackorby and Donaldson (1984) and
is based on Atkinson's (1970) index of inequality. The
second is an extension of an index employed by Reynolds and
Smolensky (1977) based on the generalisation of the Gini
Coefficient suggested by Donaldson and Weymark (1980). The
major points of difference identified relate to: a) the
income base to which the indices are applied; and, b) the
basis of the weighting system used. It is demonstrated that
these differences may lead to alternative rankings of taxes
and benefits in terms of progressivity. Implications of the differences between the two indices are also considered with
respect to the problem of horizontal inequity. It is
suggested that the Blackorby and Donaldson index is to be
preferred. The issues are further illustrated by applying
the indices to Irish data.
© The Author(s). European University Institute. Digitised version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
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-2-Introduction
In recent years, increasing interest has been
expressed in the measurement of the progressivity (or
regressivity) of government taxation and expenditure. In
this paper we consider theoretical and empirical issues in
the use of what Keifer terms 'distributional progressivity
indices' (Keifer, 1985) which view progressivity as
determined both by the nature of the tax or benefit
structure (for example the marginal income tax rate) and the
existing distribution of income1 . The first part of the
paper compares in detail the properties of two measures of
progressivity based on redistributive effect. In the second
we go on to apply these indices to Irish data for 1973 and 1980.
Progressivity
A tax may be considered progressive (regressive) if
2
the average rate rises with income . However, this
uncontroversial definition of progressivity may be (and,
indeed, has been) used to imply three different types of
progressivity measure. Specifically, progressivity has been measured in terms of:
iJRevenue Responsiveness: a tax structure may be considered progressive if the elasticity of total revenue with respect to an equiproportionate growth in individual
incomes is greater than one. Such a measure has been
considered and applied by Hutton and Lambert (1979,1982).
ii) Deviation from Proportionality: under this
definition, a tax structure is said to be progressive if tax
payments are less equally distributed than pre-tax income.
This notion has been used by, for example, Khetan and Poddar
(1976), Kakwani (1977) and Suits (1977) in suggesting
progressivity indices^.
iii) Redistributive Impact: in a similar way
to deviation from proportionality indices, taxes may be
considered progressive if post-tax incomes are more equally
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distributed than pre-tax incomes. Indices of progressivity based on redistributive impact have been suggested by, for
example, Reynolds and Smolensky (1977) and Balckorby and
Donaldson (1984).
On a priori considerations, we feel that indices
based on redistributive impact are the most appropriate to
apply to combined tax and benefit structures. Whilst being
suitable for application to single categories of taxes (or
benefits), revenue responsiveness presents severe problems of measurement when applied to combined tax and benefit
structures given the different income bases under which
different types of tax and benefit are administered.
Deviation from proportionality measures are also
problematic. In particular, the insensitivity of such
measures to the average rate of taxation may lead to
perverse results.
Consider, for example. the application of the
Kakwani index to a linear income-tax, T(y)= t(y-a), where y
is income, a the tax-free allowance (so that below a
income-tax is negative) and t the marginal tax-rate, the
Kakwani index is given by
aGQ/(y-a) where y is average income4 . For a < p, K
increases unambiguously with a (3K/3a>0), however at a = y, K is undefined and for a > y, K < 0 (although 3K/3a>0). That
is, if the allowance is larger than average income, the tax
is judged to be regressive although it remains progressive
as defined above,the average tax rate rising with income.
Such an example may seem a little unlikely when considering a single tax since a > y implies negative revenue, however,
when the overall tax and benefit structure is being
considered a broadly linear structure with a budget deficit (implying a > y) is not such an unrealistic situation.
One might also argue that it is the effect of
taxation and/or benefits on the distribution of income which is of more interest to both empirical researchers and
policymakers rather than the distribution of tax payments
per se.
Indices based on redistributive impact are not
subject to the difficulties with the other types of measure
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-4-outlined above. Furthermore, they are explicitly based on
the effect of taxation and benefits on the distribution of
income. Having selected redistributive impact as a suitable
basis for the measurement of progressivity we are still left with a number of possible indices to choose from. In this
paper we compare two such indices, the first is based on
Atkinson's index of inequality and was suggested by
Blackorby and Donaldson (1984). The second is an extension
of an index employed by Reynolds and Smolensky (1977) based
on the Gini coefficient. This is extended using Donaldson and Weymark's (1980) generalisation of the Gini coefficient.
Both of these measures incorporate an explicit
weighting system for the comparison of income transfers at
different levels of income and were both developed in
response to criticism of the undesirable properties of the
Gini coefficient as a basis for comparisons of income
distributions. Specifically, in arriving at any index of
redistributive effect implicit or explicit values are
involved in the weighting of income transfers at different levels of income. Gini-based indices implicitly attach most weight to income transfers at the mode of the distribution.
Atkinson's index of inequality, on which the
Blackorby- Donaldson ( hereafter BD) index is based, employs
the notion of equally distributed equivalent income.
Consider the additively separable 'utilitarian' social
welfare function:
(1) W = 2 U.
' ' i i
where n is the number of income recipients and where utility depends only on income.
Equally distributed equivalent income (yecj e ) is
defined as, "the level of income per head which if equally
distributed would give rise to the same level of social
welfare as the present distribution." (Atkinson, 1970,
p. 250 ) . T h u s : (2) u<yede>= w/" © The Author(s). European University Institute. Digitised version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
rearranging:
(3) yede= U - 1 (W/n)
In order to derive an empirically measurable index,
we must specify each individual's utility function (assumed to be the same for everyone). Here we follow Atkinson in using the specification:
u(y) r
d - e ) £ / 1
u(y) = ln(y) e =1
with e t- 0 for concavity.
Combining (3) and (4) we arrive at an estimable
definition of y , : 2ede
V
=
( l
.? v!i-)\TI-eT
£ » 0
yede In i*l y i j e * 1
(5)
yede= exp(s iiiln(yi ) ^ e = 1
The parameter e represents the weight attached
different levels of income (i.e. the level of inequality
aversion). Atkinson's index of inequality is then
straightforwardly defined as:
(6) K e ) = 1 - (yede/w)
An increase in 1(e) representing an increase in
inequality. Thus, for example, y=0 implies constant marginal
utility of income (3U/3y=l) and zero inequality aversion,
yede= 11' anc* therefore l(e)=0 whatever form the income
distribution takes. For e>0 there is diminishing marginal
utility of income (32U/3y2<0) and therefore positive
inequality aversion. Thus, for example, for e=l, an
increment in income accrueing to someone with income x
increases 'social welfare' by twice the amount an equal
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-
6-increment accruing to someone with income 2x would do (i.e. 3W/y1=23W/3y2 , where 2y1=y2 ).
Increasing e increases the relative importance of
income transfers at the lower end of the income scale until
as €-*•<» , the Rawlsian maximin solution is obtained, the
value of W (and therefore I) is only affected by the income
of the poorest member of the community.
The BD index is defined for taxes as:
(7) BD. (I - I t )/(l - I )
' o p t " ' o'
, . ede , , , ede , .,,, ede , .
[(yp t /uP t )_(yo / “o )]/(yo /uo>
where subscripts o and pt denote the original and post-tax income distributions respectively.
Thus, BDfc measures the proportionate increase in (yede/u) occasioned by the tax. A tax schedule may be said
to be progressive if BD > 0, proportional if BD = 0, and
regressive if BD < 0. Similarly, one may state that tax
schedule tl is more progressive than tax schedule t2 if
BDtl>
BDt2-The BD index may be extended to measure the
progressivity of benefits and the progressivity of taxes and benefits combined:
(8) b d l
= (Ipt- W
^ 1
V(9) 1 + BDnet= (1 + BDt )(l + BDb )
1 + (I, I n e t " ' t )/(l - I ) o'
The second index we wish to examine is an extension
of the Gini-based index used by Reynolds and Smolensky
(1977) employing the generalisation of the Gini coefficient
suggested by both Donaldson and Weymark (1980). This
generalisation may be defined (in discrete terms) as:
(1 0) G (v ) = 1 - (l/unv )i|1 [(n-i+l)v-(n-i)v ]y.
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with individuals being ranked by income from lowest to highest5 .
As with the Atkinson index an increase in G
represents an increase in inequality and the parameter v
plays an analogous role to e. G (1) represents the equivalent
case to e=0 above,with no distinction between income
distributions being possible in terms of progressivity. G(2)
is simply the Gini coefficient whilst higher values of v
reflect increasing weight being attached to lower rankings
in the income distribution. Once again, as v-*-®, G approaches the maximin outcome.
The extended Reynolds-Smolensky index (RS) is then:
(1 1) RS(v)fc = G(v)o- G(v)
Once again this index may also be employed to
consider the progressivity of benefits and the combined
tax/benefit system:
(12) RSb = Go - Gpb
(13) RS . = G - G .
net o net
= [(l-t)RS + (1+b)RSb ]/(1-t+b)
where subscripts pb and pt represent income distribution
once benefits have been added or taxes subtracted from
original income respectively; b and t are the average rates
of benefit and tax. Once again progressivity,
proportionality and regressivity are indicated by values for
RS > 0, = 0, and < 0, respectively.
Thus, the two measures outlined above are, in some
respects, similar. They are both based on notions of
redistributive effect and both incorporate explicit weights
which may be varied to reflect different levels of
'inequality aversion1. However, there are significant
differences between the two which imply that the BD and RS indices may produce different orderings of tax and/or
benefit schedules in terms of progressivity. Indeed,
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-8-different values of the weighting coefficient may also
alter the ranking of taxes and benefits even using the same
index. We will discuss differences between the indices in
greater detail below. However, to illustrate the different possibilities, a hypothetical example is given in table 1 .
(table 1 about here)
In this simple example, there is a society
comprising of four individuals i (i=l,2,3,4) with income
before taxes and benefits X . . Consider the application of
orig
two alternative balanced budget tax/benefit schedules
resulting in incomes X tl and Xnet2 resPecti-vely • Tlle
net effect of schedule 1 is to redistribute $10 from person 4 to person 2, whilst schedule 2 results in a redistribution
of $4 from person 4 to person 1. Applying BD(1) and RS(2 )
indices to the two schedules (the first two rows of the
lower part of the table) we are faced with conflicting
results. BD(1) suggests that schedule 2 is more progressive
than schedule 1, whilst RS(2) suggests the contrary to be
true. Furthermore, as the value of v is increased the
ordering of the two schedules is once again reversed. We might look at this in terms of social welfare6 .
For schedule 1 to be more progressive than schedule 2 it is
necessary that BD .,> BD .-(similarly with RS). This
1 netl net2' '
implies that the change in 'social welfare' resulting
from schedule 1 (i.e. the sum of the increase in utility to
person 2 and the decrease in welfare to person 4 resulting
from the transfer of the $10 from 4 to 2) must be greater
than the change in 'social welfare' arising from schedule 2
(i.e. the sum of the increase in utility to person 1 and
the decrease in utility to person 4 of the transfer of $4
from 4 to l)7 .
Differences between the indices
Having outlined the possibility of different
orderings arising from the use of different weights and
different indices, it is worth now consider ing in more
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detail the differences between the two indices BD and RS which may give rise to contradictory replies to questions of
the form, 'is tax schedule 1 more progressive than tax
schedule 2 ?' or, 'are taxes more progressive than benefits v 1
1) Income Base.
This point of difference relates to the income
distributions which are compared to arrive at the measure of
progressivity. That is, the income bases to which the two
measures are applied. Specifically, refering to the
definitions given above, taking taxes and benefits
separately, RSfc compares post-tax income with the original
income distribution (equation 11), and RS ^compares post
benefit income (i.e excluding taxation) with the original
income distribution (equation 12). On the other hand,whilst
BDt (in the form given above) also compares the original
and post-tax income distributions (equation 7), BD^ compares
the final and post-tax distributions (equation 8). Thus, RS
indices always use original income as their base, whereas BD indices are applied cumulatively so that in this case the redistributive effect of benefits is measured in terms of
its effect on the post-tax income distribution and not (as
is the case with RS) on original income. So long as taxes
are not proportional, the basis of comparison is therefore
different for RS and BD indices. As Lambert (1985a) points
out, taxes (or benefits) may be regressive when applied to
original income whilst being progressive when applied to a
more equally distributed post-benefit (or post-tax)
distribution.
These points are illustrated in table 2, the top
half of which is taken from Lambert (1985a, p.45). This
gives an example of a hypothetical tax/benefit system. In
the top half of the table, column 1 shows the original
income distribution (again in a four person society), column
2 shows the income distribution once taxes have been
subtracted from original income, column 3 gives the
distribution after the ad addition of benefits to original
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1 0
-income, and finally, column 4 shows the distribution
following the imposition of both taxes and benefits.
(table 2 about here)
The lower half of the table shows the progressivity
of taxes and benefits (both individually and taken together)
in three different ways. Firstly, applying RS(2), secondly
using B D (1) taking taxes first, and finally employing BD(1) taking benefits first.
With regard to the RS(2) index we can see immediately
the apparent paradox observed by Lambert (1985a): whilst
taxes appear to be regressive, the progressivity of taxes
and benefits taken together is greater than that of benefits
by themselves. This 'paradox' arises because taxes are
regressive when applied to original income but progressive
when applied to the more equally distributed post-benefit income.
Turning to the BD indices, the aforementioned paradox is avoided because the indices are computed cumulatively.
However, the consequence of this is that the order in which
taxes and benefits are evaluated affects the size of the index.
sign and the
This immediately raises the questions: a) which is
the appropriate base for the measurement of progressivity;
and, b) with respect to the BD index, which is the
appropriate order in which the progressivity of taxes and
benefits should be considered?
We would argue that progressivity should measured so far as possible with respect to the income base on which the
tax or benefit itself is assessed. Thus, for example, if
social security benefits are subject to income taxation,
then the appropriate bases of comparison for the measurement of the progressivity of income tax are original income plus social security payments and income after the imposition of social security and income tax. Such an approach seems most reasonable intuitively. It is difficult to see the relevance of a measure of, for example, income tax progressivity which
is not related to the specific concept of income used to
determine the level of taxation paid by each person. Thus,
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in this respect we would argue that the BD index, which allows the analyst to choose to some extent the income bases
employed in the measurement of progressivity, is to be
preferred to the RS index.
2)Basis of the Weighting System.
A second difference between the two indices is the
O
weighting system employed . I based measures such as BD
apply the weight e to income, y , whereas using G based
measures the weight v is applied to the individual's
ranking in the income distribution, i. A quick glance back
at equations 6 and 10 above should be sufficient to confirm this.
This implies that, whilst the BD index has the
possibly desireable property of attaching more weight to
income transfers to individuals low in the income rankings
if the income distribution is highly skewed, treating income transfers above and below the mean more symetrically if
income is more equally distributed, the RS does not. Since
the weight in the RS index is applied to the rank in the
distribution and not income itself the weighting of income
transfers is independent of the income distribution and
therefore treats such transfers equally however skewed the
distribution is.
This might be used as another justification for
prefering the BD to the RS index in the measurement of
progressivity. In any case, of perhaps more importance in
empirical applications are the implications of the nature of the weighting system for the error of measurement arising from horizontal inequity.
A common problem with empirical applications of
progressivity indices is that such analyses often assume
that attributing taxes and benefits to individuals (or in
the application below to households) does not alter their
ranking in the income distribution. If the level of taxes
paid and/or benefits received are functions of any
individual attribute other than original income (e.g in the
case of households, household size is likely to be an
important factor) then the ranking of individuals in the
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1 2
-income distribution is likely to change and estimates of RS
will tend to overstate the redistributive impact of taxes
and benefits.
An illustrative example may help make this clear.
Table 3 (based on Atkinson, 1979, p .6) shows the income
distribution for our now augmented five person society
before and after tax. The first post-tax distribution is
based on the original income ranking whilst the second is
reranked according to the level of post-tax income.
(Table 3 about here)
Applying RS(2) to the unaltered ranking suggests that
the tax is progressive (RS = .034) whereas the correctly
ranked post-tax income distribution shown in the final
column of the table clearly indicates that the tax is
strictly proportional.
This error does not arise in the case of the BD index
since it is based on income itself and is not affected by
income rank per se. This again offers support for prefering the BD over the RS index. In practice, however, when grouped data is employed (as in the application below) the BD index will be affected since changes in the ranking of individuals (or households) changes the mean income in each group and it
is on this mean income which provides the basis for the BD
index.
3)Absolute Vs Proportionate.
The final and least important distinction between the
two indices that we wish to draw attention to is the fact
that the RS index is an absolute measure whereas BD is proportionate. That is, RS is related to the absolute change
g
in 'Social Welfare' (AW) while BD relates to the
proportionate change, (AW/W) brought about by the tax and/or benefit.
This difference implies that whilst RS must lie in the range, GQ> RS > (G - 1), BD may be any real number. This should be bourne in mind when comparing the results from the two indices. In particular, it serves to remind one that a
© The Author(s). European University Institute. Digitised version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
direct comparison between the values of RS and BD is meaningless. Thus, the statement RS > BD of itself tells us nothing about the progressivity of the tax.
Irish Tax and Benefit Progressivity, 1973-1980.
In this section we present the results of applying BD
and RS indices outlined above to Irish data for 1973 and
198010. The data employed comes from the Irish Household
Budget Surveys of those years. The data is grouped by income
decile11. The income concepts and categorisation of
government taxes and benefits are adhered to. In particular, taxation and expenditure (benefits) are classified into four
groups to which RS and BD indices were applied. These are:
i) cash benefits ; ii) direct taxation; iii) non-cash
12 benefits; and, iv) indirect taxation
In applying the BD index we follow the order (given above) in which taxes and benefits are attributed to income
in the H B S . That is, cash benefits are added to direct
(original) income to arrive at gross income. Direct taxation
is then applied to gross income to produce disposable
income. Thirdly, non-cash benefits and then indirect
taxation are added to arrive at final (net) income. Thus,
the progressivity of cash benefits (using BD) is assessed
using a comparison of the direct and gross income
distributions. Similarly, estimation of the progressivity of
direct taxation involves a comparison of the gross and
disposable income distributions and so on.
There are two reasons for adopting this ordering.
Firstly, as far as is possible with taxes and benefits at
this level of aggregation, this ordering conforms to the
method suggested above. That is, it was argued that it is
sensible to assess the progressivity of, for example, direct taxation on the basis of the income concept used when the
tax is levied. Thus, cash benefits are usually awarded on
the basis of direct income. Similarly, direct taxation is
largely levied on gross income (as defined above) . This
somewhat imprecise justification becomes purely arbitrary
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-14-with respect to the order of assessment of the progressivity 14
of non-cash benefits and indirect taxation , however, it
is felt that the order of progressivity assessment is at
least as sensible as any of the twenty-three alternatives.
Again, with respect to the BD index, the presence of
zero direct income for the lowest income decile in 1980
meant that this measure of cash benefit and overall tax and
benefit progressivity was undefined for values of e>l.
Therefore, results are presented for values of e between
(but not including) zero and one. In the case of the RS
index this problem does not arise. Although the application of either direct or indirect tax to original income produces
negative net incomes15 in certain cases; as Yitzhaki (1983)
points out, the generalised Gini coefficient, and therefore
the RS index is still calculable so long as mean income is
positive15. This condition is fulfilled and so results for the RS index are therefore presented for values of v between two and ten.
Table 4 presents the results of applying the RS and
BD indices for different values of v and e to the four
categories of tax and benefit with households ranked by
original income for 1973 and 1980.
(table 4 about here)
It is immediately apparent that the indices all
produce broadly similar results. Thus, the progressivity of 17
each category of tax and benefit has increased between
1973 and 1980. Following directly from this, the
progressivity of taxes and benefits taken as a whole has increased over the period. The ranking of taxes and benefits
in terms of progressivity is the same for each index, cash
benefits being the most progressive then non-cash benefits, followed by direct tax with the regressive indirect taxation
at the bottom. Finally, for both indices,the change in
progressivity with respect to changes in the weighting
coefficient is positive for progressive taxes and benefits
and negative for the regressive indirect tax. That is, as e
© The Author(s). European University Institute. Digitised version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
and v are increased so too is the progressivity (or regressivity) of each tax or benefit.
There are, however, differences between the results
produced by the different types of index. Most obviously,
the progressivity of cash benefits relative to the
progressivity of other categories is much larger using BD.
Similarly, the regressivity of indirect tax is (relatively)
much greater when the RS index is employed. These
differences stem largely from the different income base to
which the indices are applied. As emphasised above, RS
measures the progressivity (or regressivity) of taxes and
benefits always using original income as the base for
comparison whereas the BD index assesses progressivity
cumulatively . Thus, we observe, for example, that indirect
taxation is more regressive when applied to original income than when it is applied to the more equally distributed post non-cash benefit income distribution.
Horizontal inequity.
It was noted above that if taxes or benefits alter
the ranking of households in the income distribution then
the estimates of RS and (in practice) BD will tend to
overestimate the progressivity (underestimate regressivity)
of these taxes and benefits. Table 5 shows the tax/benefit
mobility matrix for 1980 in Ireland. This cross-classifies
households by original and final (table 5 about here)
income quintiles. Thus, the top row shows the final income
positions of households in the lowest quintile of original
income. The substantial degree of mobility indicated by the
table suggests that there may be a substantial overestimate of in the calculations of progressivity in table 4.
Using data reranked by gross, disposable and final
income it is possible to produce estimates of the extent of
the error caused by horizontal inequity in at least some of the cases. Table 6 presents the results of this exercise.
(table 6 about here)
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1 6
-The first row relating to each index gives the
revised estimate (where calculable) of progressivity based
on reranked data. The second (in brackets) gives the
original estimate and the third row gives the error as a
percentage of the new figure. It might be noted that, as was
suggested above, the error is much larger for the RS index
than for BD.
Adult Equivalence.
It was pointed out above that the re-ranking of
households after the imposition of taxes and benefits arises because such taxes and benefits are not levied solely on the basis of original household income. One possible source for
this re-ranking might be sought in household size. It is
reasonable to expect a positive relationship certainly
between government benefits (and perhaps taxes) and
household size.
(table 7 about here)
Table 7 provides support for this proposition. It
shows that in each original income quintile the ranking of
households after redistribution is related to household
size. The rather unsurprising implication being that it
tends to be the larger households who gain most from
redistribution.
One possible way of compensating for this is to use
'adult equivalence scales' to convert the incomes of
households to a common individual base. A number of
different methods for the calculation of such scales has
18
been suggested . Nolan (1981) derives four such scales for
Ireland based on two different approaches19.however the
results produced do not appear to be sensitive to the
20
particular scale employed . In this paper we use CSO
estimates based on McClement's (1978) UK scales derived
from the Family Expenditure Survey . These are :
First Adult 1.00 Married Couple 1.74 Persons aged 0-4 .25 © The Author(s). European University Institute. Digitised version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
Persons aged 5-13 .38
Persons aged 14-20 .53
Additional Adults .74
The principle of application of the scale is simple. The members of each household are classified into the above
groups, the sum of the appropriate coefficients is
calculated and this sum is used to divide the households
income (of whatever type). Thus, for example, a married
couple with two children aged 3 and 7 would warrant a
coefficient of 2.37. Their income would therefore be
multiplied by 1/2.37 to arrive at the household's 'adult
equivalent' income.
Table 8 shows RS and BD indices applied to adult
equivalent income for 1980. Two points of interest are worth
noting, while the progressivity of direct taxes and both
types of benefit increases (or at least remains roughly the same) for both indices and using different weights. Indirect taxation, however is more regressive according to the RS
index but less regressive (becoming roughly proportional)
according to the BD index.
The second observation is that using adult
equivalence scales does substantially reduce the error
arising from horizontal inequity. The percentage error for
the overall taxes and benefits is given in brackets in the
final column of the table. The effect of employing adult
equivalence scales appears to be a reduction in the
'horizontal inequity' error of roughly one-third for RS and
as much as one-half for BD.
Conclusion
In this paper we have compared, both theoretically
and empirically two indices of progressivity based on the
notion of redistributive effect. It was shown that the two
indices, indeed even different values of the weighting
coefficient within each index, may produce different
rankings of taxes and benefits in terms of progressivity.
One approach to the problem is to employ different
indices in order to see how robust the results are to
changes in the weighting coefficient and between the indices
© The Author(s). European University Institute. version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
1 8
-themselves. An alternative approach would be to select the
index (and perhaps the value of the weight) on a priori
grounds. We went some of the way towards this in excluding
measures based on revenue responsiveness and deviation from
proportionality. From the analysis above we would suggest
that, if a choice must be made between the two indices considered in detail above, the BD index is to be prefered. It has the desireable property of treating income transfers
differently according to the skewness of the income
distribution which the RS does not. Furthermore, it was
suggested that the cumulative nature of the BD index is
desireable. There seems little relevance in always relating
progressivity to effect of taxes and benefits on original
income. Finally, the BD index is much less subject to the
error arising out of horizontal inequity than is the RS
index. © The Author(s). European University Institute. Digitised version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
References
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the progressivity of the Irish tax/benefit system
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Notes :
1 As opposed to 'Structural Indices' which depend only on the structure of tax or benefit rates, as in the work of Musgrave and Thin (1948).
2 Clearly, for a benefit to be progressive the average
rate must decrease as income rises.
3 Thus, the Kakwani index is defined as: G fcax- Gq , where
G fc , and GQ are the Gini coefficients for tax payments and
pre-tax income respectively.
4 See, Keifer (1985) for proof of this.
5 That is, individual 1 is the poorest and individual n
the richest member of the community.
6 Perhaps a more neutral term would be the social
valuation of income. In as much as weights are attached to different levels of income in both indices, it is clear that a judgement is being made concerning the relative importance
of different levels of income. We are not concerned here
with the difficulties involved in the justification of the
use of the concept of 'Social Welfare', however, it should
be remembered that any measure or redistributive impact (or
deviation from proportionality) does involve such a
judgement whether it is explicit or not.
7 That is, if we consider G as containing a Social
Welfare, or if you prefer, Social Valuation of Income
function, W, such that G = 1 - aW, (a=l/nnv ) then, in the
case of a balanced budget:
RS= Gpre- Gpost= aAW = “ S or, for the BD index:
BD = ‘W W » / ! 1 - W = (W5ost- WSre>/W5re-
Where 8 = 1/(1-e).
8 It might be noted that whilst the difference due to the
weighting system arises because of differences between the
Atkinson index of inequality and the extended Gini, the
divergence due to the income base is a feature of the form BD and RS indices and not the inequality indices underlying them.
9 See note 6 above. 10 CSO (1980,1983).
11 In most cases data was available in thes form from the
CSO (see Murphy, 1987). Where it was not we used logarithmic interpolation to derive decile groupings from the CSO data. For more details, see O'Higgins (1985).
12 For the most part, the types of taxes and benefits
included in each group should be fairly obvious. For a
© The Author(s). European University Institute. version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
2 2
-detailed description of the taxes and benefits covered see 0'Higgins (1985) .
13 There are, of course a number of exceptions. Thus, for example, injury compensation (in the cash benefit category) is not based on original income, and, for the period covered
by the study, unemployment benefit (cash benefit) was not
subject to direct tax.
14 Following the logic used above, since indirect taxation
paid depends on the level of consumption of taxed goods,
then the appropriate base for the application of the
progressivity index would depend on the basis for
consumption decision. That is, whether or not indirect
taxation should be assessed before or after non-cash
benefits should depend on whether consumption expenditure decisions are basecd on disposable income or disposable income plus non-cash benefits.
15 That is, net of direct or indirect tax respectively. 16 This approach differs from that of Morris and Preston
(1986) in their study of UK tax and benefit progressivity.
They adopt the convention of setting all negative incomes to
zero, however, such an approach leads to an overestimate of
the progressivity (or underestimate of the regressivity) of
taxes. Such a convention is unnecessary for the calculation
of the RS index and therefore is not employed here.
17 For indirect tax regressivity has decreased which
amounts to the same thing.
18 See, for example, Muellbauer (1980) for a discussion of
these.
19 Specifically, using: a) surveys of family expenditure;
and, b) social security provisions. 20 See Nolan (1981, p.88). © The Author(s). European University Institute. Digitised version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
© The Author(s). European University Institute. version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
TABLE 1: X orig X netl X net2 i 1 L 5 2 10 20 10 3 30 30 30 4 59 49 55 BD (e=l) 1353 ■4693 RS (v=2) .1000 .0600 (v»3) .1125 .0900 (v=4) .1000 .108S (v»5) .0820 .1219 (v=10) .0221 .1510 © The Author(s). European University Institute. Digitised version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
TABLE 2 ORIGINAL. INCOME 10 20 30 40 POST-TAX INCOME 4 11 18 25 POST- 8ENEFIT INCOME 31 34 37 40 NET INCOME 25 25 25 25 RS (v=2) -■0517 ■ 1972 .2500 BD (e=l) a) taxes first -.0760 .2224 .1295 b) benefits first .0045 .1244 .1295 © The Author(s). European University Institute. Digitised version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
TASLE 3: EXAMPLE DF HORIZONTAL INEQUITY i ax Payer- I N C O M E E l t e r a r e tax p c s ' - c a x (original rank) post t ax (ra— anksd) 1000 9 0 0 <i ) aoo 2. 1000 6 4 0 aoo 3T a o o BOO (2! 640 4 s o o 512. (5) 640 5" 640 640 (4) 5 1 Z © The Author(s). European University Institute. Digitised version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
TABLE
4
.: Tax and Benefit prcgrsssivity 1973“80t calculated for households raided by original income.' CASH 3ENEFITS | I OIRECT j 1 TAX I NON-CASH | BENEFITS ! jINDIRECT jI iMET 1 EFFECT 1973 i 198011 1973i 1930|1 1973 O O O o > H 1 19731 1980 |1 1973 1980 RS(2) • 0757 .0927 .0092 .0253 .0956 .0860 -.0970 -.0379 .1129 .1683 RS(3) .1191 .1915 .0108 .0206 .0616 .0909 -.0617 -.0505 .1663 .2967 RS(9) .1392 .1731 .0109 .0189 .0702 .1058 -.0690 -.0579 • 1996 .2937 RS(5) .1572 • 1953 .0099 .0151 .0761 .1158 -.0735 -.0616 .2232 3252 RS{ 10) .2027 .2970 .0052 J .0093 .0919 .1378 -.0835 -.0699 .2829 • 3952 BD(.l) .0199 .0189 .0020 .0091 .0038 .0098 -.0019 -.0009- .0189 .0270 BD(.25) • 0933 .0558 .0053 .0105 .0098 .0129 -.0039 -.0009 .0559 •0791 BD(.5) .1268 .1692 .0113 .0222 .0206 .0262 -.0068 -.0 0 17 .1552 .2295 BD(.75) .3209 • 5187 .0182 • 0399 .0329 .0913 -.0099 -.0022 .3797 • 6330 BD( .9) .5852 1-982? .0226 .0928 • 0399 .0509 -.0117 -.0023 .6660 2.2609 © The Author(s). European University Institute. version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
Table
S-
Tax/Benefit Mobility MatrixFINAL INCOME QUINTILE.
1 2 3 4 5 o i q R N U 1 12.6 5-2 1.6 0.5 0.1 20.0 I C I G 0 N 2 6.5 7-7 3-6 1.6 0.5 20.0 I M T N E I 3 0.8 5.8 8 .4 4 .2 0.8 20.0 A L L E A - 0.1 1.1 5-5 9-7 3-5 20.0 5 0.0 0.1 0.8 3-9 15 -1 20.0 20.0 20.0 20.0 20.0 20.0 100.0 Soof2.ce: HofcPH'd ( \ ^ ^ ) © The Author(s). European University Institute. Digitised version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
TABLE TAX AND BENEFIT PROGRESSIVITY 1973*80 BASED ON RE-RANKED DATA.
CASH DIRECT NET
BENEFITS TAX EFFECT
1973 1980 | 1973 1980 || 1973' 1980 |
RS( 2) .0672 .0819 n.a. n.a. .0682 .1289
(.0757) (-0927) ( 1129) (.1683)
12.6 13-2 65-5 31-1
as(3) • 0983 .1219 n.a. n.a. .0989 .1707
(-1193) ( -1915) (-1663) (.2967) 16.3 16 .6 68.1 99.5 RS(9) .1169 .1938 a.a. n.a. .1169 .1972 (-1392) ( .173D (.1996) (-2937) 19-1 20.9 70-7 98.9 RS(5) .1291 .1579 n.a. n.a. .1286 .2120 (.1572) (-1953) (-2232) (-3252) 21.8 29.1 73-6 53-9 RS( 10) .1518 .1797 n.a. n.a. .1988 .2299 (.2027) (-2970) (-2829) ( -3952) 33-5 91.9 90.1 75-7 BD(.1) .0130 .0165 .0015 .0039- .0130 .0215 (.0199) (.0189) (.0020) (.0091) (.0189) (.0270) 10.8 11.5 33-3 2a . 6* 95.9 25-6 BD(.25) ■0392 .0509 .0090 •.0088 • 0392. .0638 ( 0933) (.0558 (.0053) (.0105) (.0559) (.0791) 10.5 10.7 32.5 19 .3 91-3 29.0 BD(.5) .115 5 .1595 .0088 .0 187 • 1155 .1862 (.1268) (.1692) (.0113) (.0222) (.1552) (-2295) 9.8 9-5 28.9 18.7 39.6 20.6 BD(.75) .2961 .9836 .0196 .0296. ■ 2951 ■ 5989 (-3209) (-5187) (.0186) (-0399) (-3797) (-6330) 8.9 7-3 27.9 17-9 27-0 15-3 BD(.9) •5997 1.8897 .0185 .0366- .5929 2.0982 (.5852) (1.9827) (.0226) (.0928) (.6660) (2.2609) 7-9 9.9 22.2 16-9 22.8 10.9 19 © The Author(s). European University Institute. Digitised version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
TABLE -3: AVERACE NUMBER OF PERSONS PER HOUSEHOLD IN IRELAND, 1980, CLASSIFIED 3Y DIRECT AND FINAL QUINTILE
INCOMES-FINAL INCOME QUINTILE
1 2 3 9 5 MEAN 0 L Q R rr U i 1.71 2.90 5-03 7-57 11.86 2.99 I c I G 0 N 2 1.83 2.63 9.05 5-90 8.89 3-05 i M T N E I 3 2.33 2.65 3-77 5-97 8.13 3-92 A L L E 9 2.69 2.86 3.22 9-. 33 6-33 9.28 5 3-98 3-18 3.26 3-37 5-36 9.87 1-79 2.72 3-75 9.59 5-75 3-72 © The Author(s). European University Institute. Digitised version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
TABLE g: TAX AND BENEFIT PEOCHESSIVITY, 1930. CALCULATED ON DATA A D J U S T S 3Y ADULT EQUIVALENCE SCALE.
CASH BENEFITS DIRECT TAX ION-CASH 3ENEFITS INDIRECT TAX 1 MET 1 EFFECT!a) NET EFFECT(b ) RS(2) .1190
•0253
.0860
-.0930
.2273.1863
(22
.0
) RS<3) . 1876•0255
.1220
■.0599
• 3325 .2639 (26.2) RS(9) .2267.0215
.1921 -.0689 3961 .2639 (30
.6
) RS(5) ■ 2577.0171
■1551 -.0792 ■ 9392 ■ 3256 (39.9) RS(10) • 3329.0021
.1822-.0858
■5367 • 3971 (59.6) 3D(.1) .0208 .0096 • 0053 .0000.0309
.0279 (12.8)8
D(.25) .0621 .0116 •0135 -.0001 .0889 • 0791 (12.9) 3D(.5).1879
■ 0237 .0276 .0000.2936
• 2195 (11.0) BD<.75) • 5389 •0359 .0920.0003
.,6619.6100
(8.9) BD(.9) 2.0186 .0932 •0507 .00092.3101
2.1822
(5-9) notes: (a) net effect calculated using final income ranked by original income,(b) net effect calculated using final income ranked by final income.
13 © The Author(s). European University Institute. version produced by the EUI Library in 2020. Available Open Access on Cadmus, European University Institute Research Repository.
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