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

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1. An Introduction to PPI Methodology<br />

can be compared with the nominal period 1 value at<br />

current prices to provide, for bilateral comparisons,<br />

an estimate of quantity change at constant period 1<br />

prices. These results were devised for the establishment,<br />

<strong>and</strong> it is also shown in Chapter 18 that<br />

they hold on aggregationfor Laspeyres <strong>and</strong> Paasche<br />

indices <strong>and</strong> fairly closely for the three main superlative<br />

indices: Fisher, Törnqvist, <strong>and</strong> Walsh.<br />

G. Illustrative Numerical Data<br />

1.123 Chapter 19 presents numerical examples<br />

using an artificial data set. The purpose is not to illustrate<br />

the methods of calculation as such, but<br />

rather to demonstrate how different index number<br />

formulas can yield very different numerical results.<br />

Hypothetical but economically plausible prices,<br />

quantities, <strong>and</strong> revenues are given for six products<br />

over five periods of time. In general, differences between<br />

the different formulas tend to increase with<br />

the variance of the price relatives. They also depend<br />

on the extent to which the prices follow smooth<br />

trends or fluctuate.<br />

1.124 The numerical results are striking. For example,<br />

the Laspeyres index over the five periods<br />

registers an increase of 44 percent whereas the<br />

Paasche falls by 20 percent. The two commonly<br />

used superlative indices, Törnqvist <strong>and</strong> Fisher, register<br />

increases of 25 percent <strong>and</strong> 19 percent, respectively,<br />

an index number spread of only 6 points<br />

compared with the 64 point gap between the<br />

Laspeyres <strong>and</strong> Paasche. When the indices are<br />

chained, the chain Laspeyres <strong>and</strong> Paasche register<br />

increases of 33 percent <strong>and</strong> 12 percent, respectively,<br />

reducing the gap between the two indices from 64<br />

to 21 points. The chained Törnqvist <strong>and</strong> Fisher register<br />

increases of 22.26 percent <strong>and</strong> 22.24, percent<br />

respectively, being virtually identical numerically.<br />

These results show that the choice of index formula<br />

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

H. Choice of <strong>Index</strong> Formula<br />

1.125 By drawing on the index number theory<br />

surveyed in Chapters 15–19 it is possible to decide<br />

on the type of index number in any given set of circumstances.<br />

However, there is little point in asking<br />

what is the best index number formula for a PPI.<br />

The question is too vague. A precise answer requires<br />

a precise question. For example, suppose<br />

that the principal concern of most users of PPIs is to<br />

have the best measure of the current rate of factory<br />

gate inflation. The precise question can then be<br />

posed: what is the best index number to use to<br />

measure the change between periods t – 1 <strong>and</strong> t in<br />

the prices of the producer goods <strong>and</strong> services leaving<br />

the factory between periods t – 1 <strong>and</strong> t<br />

1.126 The question itself determines both the<br />

coverage of the index <strong>and</strong> the system of weighting.<br />

The establishments in question have to be those of<br />

the country in question <strong>and</strong> not, say, those of some<br />

foreign country. Similarly, the question refers to establishments<br />

in periods t – 1 <strong>and</strong> t, not to establishments<br />

five or ten years earlier. Sets of establishments<br />

five or ten years apart are not all the<br />

same, <strong>and</strong> their inputs <strong>and</strong> production technologies<br />

change over time.<br />

1.127 Because the question specifies goods <strong>and</strong><br />

services produced in periods t – 1 <strong>and</strong> t, the basket<br />

of goods <strong>and</strong> services used should include all the<br />

quantities produced by the establishments in periods<br />

t – 1 <strong>and</strong> t, <strong>and</strong> only those quantities. One index<br />

that meets these requirements is a pure price index<br />

that uses a basket consisting of the total quantities<br />

produced in both periods t – 1 <strong>and</strong> t. This is equivalent<br />

to an index that uses a simple arithmetic mean<br />

of the quantities in the two periods, an index known<br />

as the Marshall-Edgeworth index. However, this<br />

index has a slight disadvantage in that if domestic<br />

production is growing, the index gives rather more<br />

weight to the quantities produced in period t than<br />

those in t – 1. It does not treat both periods symmetrically.<br />

It fails Tests T7 <strong>and</strong> T8 listed in Chapter 16<br />

on the axiomatic approach, the invariance to proportional<br />

changes in quantities tests. However, if<br />

the arithmetic mean quantities are replaced by the<br />

geometric mean quantities, as in the Walsh index,<br />

both tests are satisfied. This ensures that the index<br />

attaches equal importance to the patterns of production,<br />

as measured by relative quantities produced in<br />

both t – 1 <strong>and</strong> t.<br />

1.128 The Walsh index therefore emerges as the<br />

pure price index that meets all the requirements. It<br />

takes account of every single product produced in<br />

the two periods. It utilizes all the quantities produced<br />

in both periods, <strong>and</strong> only those quantities. It<br />

gives equal weight to the patterns of production in<br />

both periods. In practice, it may not be feasible to<br />

calculate a Walsh index, but it can be used as the<br />

st<strong>and</strong>ard by which to evaluate other indices.<br />

1.129 The index theory developed in Chapters<br />

15–17 demonstrates that the Fisher <strong>and</strong> the Törn-<br />

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