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Producer Price Index Manual: Theory and Practice ... - METAC

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<strong>Producer</strong> <strong>Price</strong> <strong>Index</strong> <strong>Manual</strong><br />

these chapters, which are also summarized in Sections<br />

B–E of this chapter, it is not repeated here.<br />

1.268 At the time the monthly PPI is first calculated,<br />

the only revenue weights available must inevitably<br />

refer to some earlier period or periods. As<br />

mentioned above, this predisposes the PPI to some<br />

form of fixed-basket index (Laspeyres, Lowe, or<br />

Young index, or chained Laspeyres index). However,<br />

at some later date estimates must become<br />

available of the revenues in the current period, so<br />

that retrospectively it becomes possible to calculate<br />

a Paasche-type index <strong>and</strong> superlative indices such<br />

as Fisher or Törnqvist. 18 There is some interest in<br />

calculating such indices later, if only to see how the<br />

original indices compare with the superlative indices.<br />

Some countries may wish to calculate retrospective<br />

superlative indices for this reason. Thus,<br />

although most of the discussion in Chapter 9 is<br />

based on the assumption that some type of fixedbasket<br />

index is being calculated, this should not be<br />

interpreted as implying that this is the only possibility<br />

in the long term.<br />

P.3 Production <strong>and</strong> maintenance of<br />

higher-level indices<br />

1.269 In practice, the higher-level indices up to<br />

<strong>and</strong> including the overall PPI are often calculated as<br />

Young indices: that is, as weighted averages of the<br />

elementary price indices using weights derived<br />

from revenues in some earlier weight reference period.<br />

This is a relatively straightforward operation,<br />

<strong>and</strong> a numerical example is given in Table 9.5 of<br />

Chapter 9, in which, for simplicity, the weight <strong>and</strong><br />

price reference periods are assumed to be the same.<br />

Table 9.6 illustrates the case in which weight <strong>and</strong><br />

price reference periods are not the same <strong>and</strong> the<br />

weights are price-updated between weight reference<br />

period b <strong>and</strong> the price reference period 0. This<br />

yields a Lowe index with quantities fixed for period<br />

b. It illustrates the point that statistical offices have<br />

two options when a new price reference period is<br />

introduced: they can either preserve the relative<br />

quantities of the weight reference period or they can<br />

preserve the relative revenues. They cannot do both.<br />

<strong>Price</strong> updating the revenue weights preserves the<br />

quantities <strong>and</strong> produces a Lowe index. A Lowe in-<br />

18 In fact, if a Laspeyres index is used <strong>and</strong> the revenue<br />

shares do not change much through time, a geometric<br />

Laspeyres index will approximate a Törnqvist index (Chapter<br />

9, Section C.6).<br />

dex with quantities fixed in period b might be preferred,<br />

because of it has better axiomatic properties<br />

compared with a Young index with revenue shares<br />

from period b.<br />

1.270 The weights in the PPI need to be updated<br />

periodically or problems will result when a fixed set<br />

of weights is used for a very long period of time.<br />

For example, the prices of consumer durables, especially<br />

when quality-adjusted, have been falling<br />

relative to other goods, although the quantities purchased<br />

<strong>and</strong> revenue share have increased. An outof-date<br />

set of weights would give insufficient<br />

weight to these falling prices. In the presence of<br />

rapid changes in technology or tastes, the weights<br />

need to be updated frequently <strong>and</strong> not allowed to<br />

continue for too long.<br />

1.271 Section C.7 of Chapter 9 notes that the introduction<br />

of new weights is a necessary <strong>and</strong> integral<br />

part of the compilation of a PPI over the long<br />

run. Weights have to be updated sooner or later, <strong>and</strong><br />

some countries actually update their weights each<br />

year. Whenever the weights are changed, the index<br />

on the new weights has to be linked to the index on<br />

the old weights so that the PPI inevitably becomes a<br />

chain index over the long term. Chapter 9 also discusses<br />

the techniques for linking series together by<br />

developing a set of linking factors (coefficients)<br />

that can be used for either forward linking or backward<br />

linking. This involves calculating the higherlevel<br />

indices on both the old <strong>and</strong> new weights during<br />

an overlap period.<br />

1.272 Apart from the technicalities of the linking<br />

process, the introduction of new weights, especially<br />

if carried out at intervals of five years or so, provides<br />

an opportunity to undertake a major review of<br />

the whole methodology. New products may be introduced<br />

into the index, classifications may be revised<br />

<strong>and</strong> updated, <strong>and</strong> even the index number formula<br />

might be changed. Annual chaining facilitates<br />

the introduction of new products <strong>and</strong> other changes<br />

on a more regular basis, but in any case some ongoing<br />

maintenance of the index is needed whether it is<br />

annually chained or not.<br />

P.4 Data editing<br />

1.273 Chapter 9 concludes with Section D on<br />

data editing. It is included in Chapter 9 because<br />

data editing is a process that is closely linked to the<br />

actual calculation of the elementary prices indices.<br />

Data editing involves two steps: the detection of<br />

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