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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 />

ample, the three largest businesses account for less<br />

than 70 percent of the industry output, with the remaining<br />

30 percent being produced by a large number<br />

of small businesses, it may not be possible to<br />

achieve adequate representation of price movements<br />

by relying only on prices reported by the<br />

three largest businesses. That is, it may not be reasonable<br />

to assume that the pricing behavior of the<br />

small businesses mirrors that of the large ones, because,<br />

for example, they may target separate niche<br />

markets <strong>and</strong> direct their pricing strategies accordingly.<br />

Therefore, it would be prudent to select a<br />

sample of the small businesses to represent the markets<br />

the serve.<br />

1.320 The less concentrated is the industry structure,<br />

the stronger is the case for using probability<br />

sampling techniques. Experience has shown that,<br />

although many manufacturing <strong>and</strong> mining industries<br />

may be dominated by a few large businesses,<br />

many service industries have a very large number<br />

of small businesses <strong>and</strong>, if there are any large businesses,<br />

they produce a relatively small proportion<br />

of the output. An added advantage of probability<br />

sampling techniques is that they enable sampling<br />

errors to be calculated, which provide some guide<br />

to the accuracy of the resultant indices.<br />

1.321 Procedures need to be implemented to ensure<br />

that samples of businesses remain representative<br />

through, for example, regularly augmenting the<br />

sample by enrolling a selection of new businesses<br />

as they enter the market. Also, a sample rotation<br />

policy needs to be considered in order to spread the<br />

business reporting load.<br />

1.322 Once the sample of businesses has been selected,<br />

they need to be contacted to agree on a sample<br />

of representative product specifications for ongoing<br />

price reporting. This is discussed further under<br />

Step 5.<br />

Step 5. Collecting <strong>and</strong> editing the<br />

prices<br />

1.323 The main source of ongoing price data is<br />

usually a sample of businesses. The sample can relate<br />

to either buyers or sellers, or a combination of<br />

both. The choice will be influenced by the pricing<br />

point of the index (input or output) <strong>and</strong> practical<br />

considerations such as the relative degree of concentration<br />

of buyers, <strong>and</strong> of sellers, <strong>and</strong> the implications<br />

for sample sizes <strong>and</strong> costs.<br />

1.324 The statistical units to be sampled may be<br />

head offices reporting national data, establishments<br />

reporting regional data, or a mixture. Decisions on<br />

the units to be surveyed may be based largely on<br />

pragmatic grounds such as efficiency of collection,<br />

location of relevant business records, etc.<br />

1.325 The aim of the price collection is to enable<br />

the calculation of reliable indicators of period-toperiod—say,<br />

monthly—price change. As such,<br />

choices need to be made as to the type <strong>and</strong> frequency<br />

of pricing. For example, point-in-time<br />

prices may be the easiest to collect <strong>and</strong> process (for<br />

example, transaction prices prevailing on a particular<br />

day, say the 15th of the month) <strong>and</strong> commonly<br />

prove to be reliable indicators. For workload management,<br />

it may be decided to spread pricing over<br />

the reference period with, say, three or four pricing<br />

points <strong>and</strong> different commodities priced on different<br />

days.<br />

1.326 For commodities with volatile prices, it<br />

may be necessary to price them on several different<br />

days of the month <strong>and</strong> calculate time-weighted averages;<br />

alternatively, businesses can be asked to<br />

provide weighted average monthly prices (usually<br />

derived by dividing the monthly value of product<br />

sales by the quantity sold). This approach should be<br />

avoided because it is susceptible to the unit value<br />

“mix” problem, where products of different qualities<br />

are included.<br />

1.327 The most appropriate pricing methodology<br />

to use is specification pricing, under which a manageable<br />

sample of precisely specified products is<br />

selected, in consultation with each reporting business,<br />

for repeat pricing. In specifying the products,<br />

it is particularly important that they are fully defined<br />

in terms of all the characteristics that influence<br />

their transaction prices. As such, all the relevant<br />

technical characteristics need to be described<br />

(for example, make, model, features) along with the<br />

unit of sale, type of packaging, conditions of sale<br />

(for example, delivered, payment within 30 days),<br />

etc. This technique is known as pricing to constant<br />

quality. When the quality or specifications change<br />

over time, adjustments must be made to the reported<br />

prices (see Step 7).<br />

1.328 Another important consideration in establishing<br />

<strong>and</strong> maintaining price collections is to ensure<br />

that the prices reported are actual market<br />

transaction prices. That is, they must reflect the net<br />

prices received (or paid) inclusive of all discounts<br />

54

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