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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 />

solve the sale price problem, the most recent nonsale<br />

price before the month of the base price is used<br />

as the base price. To solve the price movement<br />

problem created by the use of nonsale prices as base<br />

price, the first six months of calculation are not<br />

published, <strong>and</strong> the index is reset to begin calculation<br />

in the seventh month. This sixth-month interval<br />

is necessary because new indices are introduced<br />

only every six months in the U.S. PPI program. Although<br />

six months of pricing data are lost, the bias<br />

is eliminated from the index. The base price problem<br />

is related to the Laspeyres formula bias problem<br />

in the sense that it is actually a weighting problem<br />

that derives from the price movement of items<br />

based at sale prices being overrepresented (having<br />

too large of a weight) in the index.<br />

10.175 The negative price problem derives from<br />

the fact that some retail trade establishments, for<br />

example, supermarkets, drug stores, <strong>and</strong> gasoline<br />

stations, will, on occasion, sell individual products<br />

at a loss. This is done to draw customers with the<br />

expectation that they will purchase not only the<br />

product being sold at a loss but also products with<br />

positive margins. Since the index calculation system<br />

used in the U.S. PPI program does not allow<br />

negative or zero prices to be used, a procedure was<br />

implemented that uses a Dutot index (the ratio of<br />

average prices) to calculate price indices in the retail<br />

trade industries. This procedure can be briefly<br />

described as an unweighted summation of margin<br />

prices for three relatively homogeneous products.<br />

The monthly percentage change for these three<br />

products is used in index calculation instead of the<br />

price for a single product. The Dutot methodology<br />

also decreases the variability of index movement<br />

that is often a characteristic of margin priced indices.<br />

10.176 The weighting problem is concerned with<br />

the aggregation of margin <strong>and</strong> nonmargin goods.<br />

Industry definitions in retail trade industries include<br />

not only selling merch<strong>and</strong>ise but also, in certain<br />

cases, the manufacture <strong>and</strong> sale of products. Consider<br />

a bakery that manufactures bread for resale or<br />

in-store consumption <strong>and</strong> carries other prepackaged<br />

bakery products for resale. Since all production is<br />

given a chance of selection, prices for some of the<br />

manufactured goods <strong>and</strong> some of the prepackaged<br />

bakery goods for resale may be collected. The<br />

prices for the manufactured goods are the retail<br />

price, while the price of the prepackaged bakery<br />

goods is the margin price. Combining retail prices<br />

<strong>and</strong> margin prices in the same product category creates<br />

item weighting problems. Suppose the bakery<br />

sells two loaves, one manufactured on premise <strong>and</strong><br />

the other a prepackaged loaf bought from another<br />

bakery. One might suppose that the selling of the<br />

two loaves should have equal weighting. However,<br />

the retail-priced loaf should have a larger weight<br />

than the margin-priced loaf because the output associated<br />

with the former is manufacturing <strong>and</strong> selling,<br />

while with the latter it is just selling.<br />

10.177 The easiest solution to this problem is to<br />

create two properly weighted product categories<br />

separating the margin priced goods from the nonmargin<br />

priced goods. However, if budget allocations<br />

are not large enough to support a separate<br />

sampling of the two transaction types, an alternative<br />

solution needs to be developed. Separate data on<br />

manufactured <strong>and</strong> resold goods must be acquired<br />

<strong>and</strong> used to derive or reapportion the sample unit<br />

weight among transactions that are margin priced<br />

versus those that are not. It should be noted that for<br />

the United States, Canada, <strong>and</strong> Mexico, this problem<br />

will disappear as the North American Industry<br />

Classification System (NAICS) is fully implemented.<br />

Under NAICS, all combined manufacturing<br />

<strong>and</strong> selling transactions are classified in the<br />

manufacturing sector <strong>and</strong> not in the retail trade sector.<br />

10.178 A fundamental issue in pricing retail trade<br />

industries is adjusting for changes in the quality of<br />

the service, which is assumed to be dependent on a<br />

store’s characteristics. If store characteristics<br />

change, all items being priced from that location<br />

have to be adjusted to account for changes in the<br />

service, provided they are related to a change in<br />

store characteristics. A retail store is considered to<br />

be providing the same service activity when slight<br />

modifications are made to the products being sold.<br />

Major changes to products could require changes in<br />

the retail service—different displays or different inventory<br />

requirements.<br />

10.179 Hedonic models should quantify the correlation<br />

that exists between store margins <strong>and</strong> store<br />

characteristics. Store characteristics include<br />

• Total store area<br />

• Selling area,<br />

• Checkout scanners,<br />

• Age of scanner software,<br />

• Number of stock keeping units,<br />

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