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

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7. Treatment of Quality Change<br />

vide valuable information on the extent to which<br />

different characteristics influence price variation.<br />

This in turn can help in the selection of replacement<br />

products. The enhanced confidence in product<br />

substitution <strong>and</strong> the quality adjustment of<br />

prices from the hedonic approach with its parallel<br />

reduction in reliance on linking, have been cited as<br />

significant benefits in the reliability of the measurement<br />

of price changes for apparel in the United<br />

States’ CPI (Reinsdorf, Liegey, <strong>and</strong> Stewart,<br />

1996). The results from hedonic regressions have a<br />

role to play in identifying price-determining characteristics<br />

<strong>and</strong> may be useful in the design of quality<br />

checklists in price collection (Chapter 6).<br />

F. Choosing a Quality-<br />

Adjustment Method<br />

7.152 Choosing a method for quality adjusting<br />

prices is not straightforward. The analyst must<br />

consider the technology <strong>and</strong> market for each commodity<br />

<strong>and</strong> devise appropriate methods. This is not<br />

to say the methods selected for one industry will<br />

be independent of those selected for other industries.<br />

Expertise built up using one method may encourage<br />

its use elsewhere, <strong>and</strong> intensive use of resources<br />

for one commodity may lead to less resource-intensive<br />

methods in others. The methods<br />

adopted for individual industries may vary among<br />

countries as access to data, relationships with the<br />

respondents, resources, expertise <strong>and</strong> features of<br />

the production, <strong>and</strong> market for the product vary.<br />

Guidelines on choosing a method arise directly<br />

from the features of the methods outlined above. A<br />

good underst<strong>and</strong>ing of the methods <strong>and</strong> their implicit<br />

<strong>and</strong> explicit assumptions is essential when<br />

choosing a method.<br />

7.153 Consider Figure 7.3, which provides a<br />

useful guide to the decision-making process. Assume<br />

the matched models method is being used. If<br />

the product is matched for repricing—without a<br />

change in the specification—no quality adjustment<br />

is required. This is the simplest of procedures.<br />

However, a caveat applies. If the product belongs<br />

to a high-technology industry where model replacement<br />

is rapid, the matched sample may become<br />

unrepresentative of the universe of transactions.<br />

Alternatively, matching may be under a<br />

chained framework, where prices of products in a<br />

period are matched to those in the preceding period<br />

to form a link. A series of successive links of<br />

matched comparisons combined by successive<br />

multiplication makes up the chained matched index.<br />

Alternatively, hedonic indices may be used,<br />

which require no matching. The use of such methods<br />

is discussed in Section G. At the very least, attention<br />

should be directed to more regular product<br />

resampling. Continued long-run matching would<br />

deplete the sample, <strong>and</strong> an alternative framework<br />

to long-run matching would be required.<br />

7.154 Consider a change in the quality of a<br />

product, <strong>and</strong> assume a replacement product is<br />

available. The selection of a comparable product to<br />

the same specification <strong>and</strong> the use of its price as a<br />

comparable replacement require that none of the<br />

price difference is due to quality. They also require<br />

confidence that all price-determining factors are<br />

included on the specification. The replacement<br />

product should also be representative <strong>and</strong> account<br />

for a reasonable proportion of sales. Caution is required<br />

when near obsolete products at the end of<br />

their life cycles are replaced with unusual pricing<br />

by similar products that account for relatively low<br />

sales, or with products that have quite substantial<br />

sales but are at different points in their cycle.<br />

Strategies for ameliorating such effects are discussed<br />

below <strong>and</strong> in Chapter 8, including early<br />

substitutions before pricing strategies become dissimilar.<br />

7.155 Figure 7.3 shows where quality differences<br />

can be quantified. Explicit estimates are generally<br />

considered to be more reliable, but they are<br />

also more resource intensive (at least initially).<br />

Once an appropriate methodology has been developed,<br />

explicit estimates can often be easily replicated.<br />

General guidelines are more difficult here as<br />

the choice depends on the host of factors discussed<br />

above, which are likely to make the estimates more<br />

reliable in each situation. Central to all of this is<br />

the quality of the data on which the estimates are<br />

based. If reliable data are unavailable, subjective<br />

judgments may be used. Product differences are<br />

often quite technical <strong>and</strong> very difficult to specify<br />

<strong>and</strong> quantify. The reliability of the method depends<br />

on the knowledge of the experts <strong>and</strong> the variance<br />

in opinions. Estimates based on objective data are<br />

thus preferred. Good production cost estimates,<br />

179

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