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ANALYTICAL INDEXES MEASURING THE PRICE IMPACTS ON THE LIVING COSTS OF SELECTED AUSTRALIAN HOUSEHOLD TYPES
The estimated number of households in each of these household types and their relative significance based on the 1998-99 HES is shown in table S6.1.
S6.1 POPULATION SUBGROUPS, Number of Households
Differences between 'living cost' and 'inflation indexes
The differences between indexes designed to measure price inflation and indexes designed to measure changes in living costs lie only in the item coverage.
A living cost index is intended to be used to assess changes over time in the purchasing power of the after-tax incomes of households. It is therefore concerned with measuring the impact of changes in prices on the out-of-pocket expenses incurred by households to gain access to consumer goods and services. The item coverage of such an index is determined by reference to the actual money outlays of households on all but investment items. On the other hand, an inflation index is defined to cover all those goods and services actually acquired by households in monetary transactions.
The most notable differences are that living cost indexes include interest charges but do not include house purchases, while inflation indexes like the current CPI do not include interest charges but do include house purchases.
Insurance (other than health insurance) is also treated differently in the living cost indexes. The weight for insurance in the CPI relates to the net value of the service provided by the insurance company (in simple terms, the amount of premiums paid by households less the amounts reimbursed by way of claims4). In the living cost indexes, the weight relates to the gross value of insurance premiums paid by households.
Construction of the living cost indexes was essentially undertaken in three stages. Stage one was concerned with calculating weights representative of the expenditure patterns of the defined household types. Stage two involved identifying appropriate measures of price change for each of the expenditure weights. The third and final stage was to use the weights to aggregate or average the price change measures.
Item weights for the population subgroups were derived mainly from the HES.5 However, unlike the CPI where weights are calculated separately for each of the eight capital cities, population subgroup weights were calculated at the national level only. This was necessary because the subgroup sample sizes at the capital city level were simply too small, for at least some groups, to produce reliable estimates at the capital city level. For this reason it is not possible to produce living cost indexes at the individual city level.
The measures of price change, with the exception of those for interest charges, were sourced from the CPI. Price measures for interest charges have been maintained separately by the ABS on a basis comparable with those employed in the CPI prior to September quarter 1998.
While most item price indexes were constructed by direct reference to the equivalent CPI expenditure class indexes, some were constructed by reference to lower level CPI price data. The exceptions relate to those items where it is known that different household types face different prices, such as subsidised public transport fares for senior citizens.
Over time the ABS will progressively refine the methodology used to construct these indexes to better reflect other differences in prices that may be faced by different household types. An example is making allowances for the possibility that different household types make purchases at different outlet types.
The indexes presented in this article were constructed using two sets of weights. The first set, based on the 1993-94 Household Expenditure Survey (HES), was used to construct the indexes from June quarter 1998 to June quarter 2000. The second set of weights, based on the 1998-99 HES, was used to construct the indexes from June quarter 2000 to December quarter 2000. In other words, all indexes are linked at June quarter 2000.
For ease of exposition, the discussion of weights is restricted to those used from June quarter 2000 (i.e. those based on the 1998-99 HES). Table S6.2 shows per household average weekly expenditure during 1998-99 for each of the four population subgroups, at June quarter 2000 prices. The commodity grouping used corresponds to the commodity groups used for the current (14th series) CPI.
S6.2 ESTIMATED AVERAGE WEEKLY EXPENDITURE DURING 1998-99, By Commodity Group and Population Subgroup - June Quarter 2000 Prices
Table S6.2 illustrates significant differences in expenditures, both in total and at the individual commodity group level. Although differences in incomes could largely account for these differences, other factors such as the demographic makeup of the households and dwelling tenure would also play a part. For example, Age pensioner households have on average the lowest number of persons per household, being mostly one or two person households without children, while Employee and Other government transfer recipient households are more likely to include dependent children. In addition, the higher rate of outright home ownership among certain subgroups, such as Self-funded retiree and Age pensioner households, would also influence the nature of expenditures.
For purposes of constructing price indexes over time it is not the absolute expenditure levels but rather the expenditure shares (or weights) that matter. Table S6.3 presents the same data in expenditure share (or weight) form.
S6.3 EXPENDITURE WEIGHTS, By Major Commodity Group and Population
Subgroup - at June Quarter 2000 Prices
There are notable differences in the expenditure weights across the population subgroups. For example the proportion of expenditure allocated to Food is highest for Age pensioner households, closely followed by Other government transfer recipient households. Employee households allocate a higher proportion of their expenditures to Transportation, Education and Miscellaneous (which includes interest charges) than the other household groups. Other government transfer recipients allocate higher proportions of their expenditures to Housing and Alcohol and tobacco than the other population subgroups. Self-funded retirees allocate higher proportions of their expenditures to Transportation, Household furnishings and supplies, Health and Recreation than the other population subgroups.
Further insight into the differences in expenditure patterns is provided in table S6.4. This table shows weights at the equivalent of the 14th series CPI expenditure class level for those expenditure classes where the differences in weights are most pronounced. The differences across the population subgroups again highlight the demographic and other differences among the population subgroups, some of which have been noted above.
S6.4 EXPENDITURE WEIGHTS, Selected Expenditure Classes - at June Quarter 2000 Prices
When comparing differences in the behaviour of the aggregate indexes, the role played by differences in weights increases as the dispersion in the rates of price change increases. Over the period for which these indexes have been compiled there is substantial dispersion in the price movements of the expenditure classes. For example the CPI index for Hospital and medical services declined by 10.1% between the June quarter 1998 and the December quarter 2000, while the index for Tobacco increased by 28.2% over the same period.
The index series for the various population subgroups from June quarter 1998 to June quarter 2000 are shown in graph S6.5, and quarterly percentage changes in the indexes in graph S6.6. The data on which the charts are based are provided in table S6.7.
Differences in movements in the aggregate indexes reflect both differences in the prices of items and differences in expenditure patterns across the population subgroups. If prices of all items showed the same movement then differences in expenditure patterns would have no effect on the indexes. As noted earlier, the greater the dispersion in price movements between items, the more important differences in the weights become.
Some of these differences in prices and weights are observable in the profile of the analytical indexes. For example, the drop in the indexes in the March quarter 1999 coincides with the introduction of the rebate on health insurance. This would in part contribute to the larger decline in the index for Self-funded retiree households than in those for other population subgroups, as these households have greater proportional expenditure on health insurance. Rises in mortgage interest charges from the December quarter 1999 had a greater impact on the Employee households index than on the other indexes, due to a greater proportional expenditure on mortgage interest by that subgroup.
All the indexes record an increase between the June and September quarters 2000, which is mainly attributable to the introduction of The New Tax System (TNTS). The population subgroup indexes rose by between 3.1% (Other government transfer recipient households) and 3.9% (Self-funded retiree households) while the CPI increased by 3.7%. However, it should be noted that these indexes are only concerned with measuring changes in prices of goods and services, and do not take into account any increases in disposable incomes flowing from reductions in income taxes and increases in social security benefits arising from the introduction of TNTS.
Between the December quarters 1999 and 2000 the increases in the population subgroup indexes ranged from 5.6% for Self-funded retiree households to 6.6% for Employee households. The increase in the CPI over the same period was 5.8%.
These analytical indexes have been designed specifically to answer the question:
"By how much would after-tax money incomes need to change to allow households to purchase the same quantity of consumer goods and services as purchased in the base period?"
Over the two and a half years covered by these indexes, the answers would appear to be broadly similar across the different household types; ranging from a low of 7.5% (for Self-funded retiree households) to a high of 8.7% (for Other government transfer recipient households). The CPI recorded an increase of 8.5% over the same period; therefore, even though not specifically designed to do so, it provided a reasonable estimate of changes in living costs for the population as a whole. However, these results might not hold over all time periods.
In considering these results it is important to recognise that these indexes have been constructed to reflect the experiences of population groups as a whole, and they may not reflect the experiences of any individual household. In this regard it is particularly important to note that no such index can be expected to reflect the changes in living costs experienced by households as a direct consequence of their moving through the life cycle (e.g. as a result of family formation and ageing). These indexes measure the changes in living costs that would be experienced by a group of households with fixed characteristics (e.g. fixed numbers of persons, of fixed age etc).
1 A household's principal source of income is defined as that income source which accounts for the largest proportion of total income. It is not necessary that the principal source accounts for a majority of household income. For example, if a household's income can be sourced 40% from wages and salaries, 35% from property income and 25% from an age pension, it would be classified as an Employee household.
2 The definition of Employee households used in this article does not correspond to that for wage and salary earner households used to construct the CPI prior to the September quarter 1998.
3 The definition of Age pensioner households used in compiling the indexes in this article is broader than that used in previous studies of a similar nature; in particular, income cut-offs have not been applied.
4 For more detail refer to Keith Woolford, "Treatment of Insurance Services in the Australian Consumer Price Index", in Australian Economic Indicators, October 2000 (1350.0).
5 As is the case in deriving weights for the CPI, HES data are adjusted where necessary, for example to account for known under-reporting of expenditure on items like alcohol and tobacco.
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