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

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9. PPI Calculation in <strong>Practice</strong><br />

(iii) The Lowe index reduces to the Laspeyres index<br />

when b = 0 <strong>and</strong> to the Paasche index when<br />

b = t.<br />

9.90 In practice, the situation is more complicated<br />

for actual PPIs because the duration of the<br />

reference period b is typically much longer than periods<br />

0 <strong>and</strong> t. The weights w j usually refer to the<br />

revenues over a year, or longer, while the price reference<br />

period is usually a month in some later year.<br />

For example, a monthly index may be compiled<br />

from January 2003 onward with December 2002 as<br />

the price reference month, but the latest available<br />

weights during the year 2003 may refer to the year<br />

2000, or even some earlier year.<br />

9.91 Conceptually, a typical PPI may be viewed<br />

as a Lowe index that measures the change from<br />

month-to-month in the total revenue of an annual<br />

basket of goods <strong>and</strong> services that may date back<br />

several years before the price reference period. Because<br />

it uses the fixed basket of an earlier period, it<br />

is sometimes loosely described as a “Laspeyrestype”<br />

index, but this description is unwarranted. A<br />

true Laspeyres index would require the basket to be<br />

that purchased in the price reference month,<br />

whereas in most PPIs the basket not only refers to a<br />

different period from the price reference month but<br />

to a period of a year or more. When the weights are<br />

annual <strong>and</strong> the prices are monthly, it is not possible,<br />

even retrospectively, to calculate a monthly<br />

Laspeyres price index.<br />

9.92 A Lowe index that uses quantities derived<br />

from an earlier period than the price reference period<br />

is likely to exceed the Laspeyres (see Section<br />

D.1 of Chapter 15), <strong>and</strong> by a progressively larger<br />

amount, the further back in time the weight reference<br />

period is. The Lowe index is likely to have an<br />

even greater upward bias than the Laspeyres index<br />

as compared with some target superlative index <strong>and</strong><br />

the underlying economic index. Inevitably, the<br />

quantities in any basket index become increasingly<br />

out of date <strong>and</strong> irrelevant the further back in time<br />

the period to which they relate. To minimize the resulting<br />

bias the weights should be updated more<br />

frequently, preferably annually.<br />

9.93 A statistical office may not wish to estimate<br />

an economic index <strong>and</strong> may prefer to choose<br />

some basket index as its target index. In that case, if<br />

the theoretically attractive Walsh index were to be<br />

selected as the target index, a Lowe index would<br />

have the same bias, as just described, given that the<br />

Walsh index is also a superlative index.<br />

C.5 Factoring the Young index<br />

9.94 It is possible to calculate the change in a<br />

higher-level Young index between two consecutive<br />

periods, such as t – 1 <strong>and</strong> t, as a weighted average<br />

of the individual price indices between t – 1 <strong>and</strong> t,<br />

provided that the weights are updated to take into<br />

account the price changes between the price reference<br />

period 0 <strong>and</strong> the previous period, t – 1. This<br />

makes it possible to factor equation (9.10) into the<br />

product of two component indices in the following<br />

way:<br />

∑<br />

0: 0: −1 ( −1) −1:<br />

(9.14) I t = I t ⋅ w b t ⋅<br />

t t<br />

i<br />

I<br />

i<br />

,<br />

( −1) 0: −1 0: −1<br />

where w bt = w b ⋅I t w b ⋅I t .<br />

∑<br />

i i i i i<br />

I 0:t-1 is the Young index for period t – 1. The weight<br />

w i<br />

b(t-1)<br />

is the original weight for elementary aggregate<br />

i price updated by multiplying it by the elementary<br />

price index for i between 0 <strong>and</strong> t – 1, the<br />

adjusted weights being rescaled to sum to unity.<br />

The price updated weights are hybrid weights because<br />

they implicitly revalue the quantities of b at<br />

the prices of t – 1 instead of at the average prices of<br />

b. Such hybrid weights do not measure the actual<br />

revenue shares of any period.<br />

9.95 The index for period t can thus be calculated<br />

by multiplying the already calculated index<br />

for t – 1 by a separate Young index between t – 1<br />

<strong>and</strong> t with hybrid price-updated weights. In effect,<br />

the higher-level index is calculated as a chained index<br />

in which the index is moved forward period by<br />

period. This method gives more flexibility to introduce<br />

replacement products <strong>and</strong> makes it easier to<br />

monitor the movements of the recorded prices for<br />

errors, since month-to-month movements are<br />

smaller <strong>and</strong> less variable than the total changes<br />

since the price reference period.<br />

9.96 <strong>Price</strong> updating may also occur between the<br />

weight reference period to the price reference period,<br />

as explained in the next section.<br />

C.6 <strong>Price</strong>-updating from weight reference<br />

period to price reference period<br />

9.97 When the weight reference period b <strong>and</strong><br />

the price reference period 0 are different, as is normally<br />

the case, the statistical office has to decide<br />

233

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