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

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

(9.2)<br />

I<br />

0: t<br />

D<br />

1<br />

=<br />

n<br />

1<br />

n<br />

∑<br />

∑<br />

p<br />

p<br />

t<br />

i<br />

0<br />

i<br />

• The third is the Jevons index, which is defined<br />

as the unweighted geometric mean of the price<br />

relative or relatives, which is identical with the<br />

ratio of the unweighted geometric mean prices.<br />

(9.3)<br />

I<br />

0: t<br />

J<br />

1 n<br />

t<br />

⎛ p ⎞<br />

i<br />

= ∏⎜<br />

=<br />

0 ⎟<br />

⎝ pi<br />

⎠<br />

t<br />

∏( pi<br />

)<br />

0<br />

∏( pi<br />

)<br />

1 n<br />

1 n<br />

The properties of the three indices are examined<br />

<strong>and</strong> explained in some detail in Chapter 20. Here,<br />

the purpose is to illustrate how they perform in<br />

practice, to compare the results obtained by using<br />

the different formulas, <strong>and</strong> to summarize their<br />

strengths <strong>and</strong> weaknesses.<br />

9.19 Each month-to-month index shows the<br />

change in the index from one month to the next.<br />

The chained month-to-month index links together<br />

these month-to-month changes by successive multiplication.<br />

The direct index compares the prices in<br />

each successive month directly with those of the<br />

reference month, January. By simple inspection of<br />

the various indices, it is clear that the choice of<br />

formula <strong>and</strong> method can make a substantial difference<br />

in the results obtained. Some results are striking—in<br />

particular, the large difference between the<br />

chained Carli index for July <strong>and</strong> each of the direct<br />

indices for July, including the direct Carli.<br />

9.20 The properties <strong>and</strong> behavior of the different<br />

indices are summarized in the following paragraphs<br />

<strong>and</strong> explained in more detail in Chapter 20.<br />

First, the differences between the results obtained<br />

by using the different formulas tend to increase as<br />

the variance of the price relatives, or ratios, increases.<br />

The greater the dispersion of the price<br />

movements, the more critical the choice of index<br />

formula <strong>and</strong> method becomes. If the elementary aggregates<br />

are defined in so that the price movements<br />

within the aggregate are minimized, the results obtained<br />

become less sensitive to the choice of formula<br />

<strong>and</strong> method.<br />

9.21 Certain features displayed by the data in<br />

Table 9.1 are systematic <strong>and</strong> predictable <strong>and</strong> follow<br />

from the mathematical properties of the indices. For<br />

example, it is well known that an arithmetic mean is<br />

always greater than, or equal to, the corresponding<br />

geometric mean—the equality holding only in the<br />

trivial case in which the numbers being averaged<br />

are all the same. The direct Carli indices are therefore<br />

all greater than the Jevons indices, except in<br />

May <strong>and</strong> July when the four price relatives based on<br />

January are all equal. In general, the Dutot index<br />

may be greater or less than the Jevons index, but<br />

tends to be less than the Carli index.<br />

9.22 One general property of geometric means<br />

should be noted when using the Jevons formula. If<br />

any one observation out of a set of observations is<br />

zero, its geometric mean is zero, whatever the values<br />

of the other observations. The Jevons index is<br />

sensitive to extreme falls in prices, <strong>and</strong> it may be<br />

necessary to impose upper <strong>and</strong> lower bounds on the<br />

individual price relatives of, say, 10 <strong>and</strong> 0.1, respectively,<br />

when using the Jevons. Of course, extreme<br />

observations are often the results of errors of<br />

one kind or another, <strong>and</strong> so extreme price movements<br />

should be carefully checked in any case.<br />

9.23 Another important property of the indices<br />

illustrated in Table 9.1 is that the Dutot <strong>and</strong> the<br />

Jevons indices are transitive, whereas the Carli index<br />

is not. Transitivity means that the chained<br />

monthly indices are identical with the corresponding<br />

direct indices. This property is important in<br />

practice, because many elementary price indices are<br />

in fact calculated as chain indices that link together<br />

the month-to-month-indices. The intransitivity of<br />

the Carli index is illustrated dramatically in Table<br />

9.1, in which each of the four individual prices in<br />

May returns to the same level as it was in January,<br />

but the chained Carli index registers an increase of<br />

almost 14 percent over January. Similarly, in July,<br />

although each individual price is exactly 10 percent<br />

higher than in January, the chained Carli index registers<br />

an increase of 29 percent. These results would<br />

be regarded as perverse <strong>and</strong> unacceptable in the<br />

case of a direct index, but even in the case of the<br />

chained index, the results seems so intuitively unreasonable<br />

as to undermine the credibility of the<br />

chained Carli index. The price changes between<br />

March <strong>and</strong> April illustrate the effects of “price<br />

bouncing,” in which the same four prices are observed<br />

in both periods, but they are switched between<br />

the different products. The monthly Carli index<br />

from March to April increases, whereas both<br />

the Dutot <strong>and</strong> the Jevons indices are unchanged.<br />

217

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