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

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7. Treatment of Quality Change<br />

approach. The hedonic dummy variable index fell<br />

by about 90 percent from 1972–1984, about the<br />

same as for the matched models approach where<br />

missing prices for new or discontinued products<br />

were derived from a hedonic regression. However,<br />

when using a chained matched models approach<br />

with no estimates or imputations for missing<br />

prices, the index fell by 67 percent. It is also possible<br />

to combine methods; de Haan (2003) used<br />

matched data when available <strong>and</strong> the time dummy<br />

only for unmatched data—his double imputation<br />

method.<br />

H. Long-Run <strong>and</strong> Short-Run<br />

Comparisons<br />

7.199 This section outlines a formula to help<br />

quality adjustment. The procedure can be used<br />

with all of the methods outlined in Sections D <strong>and</strong><br />

E. Its innovation arises from a possible concern<br />

with the long-run nature of the quality-adjusted<br />

price comparisons being undertaken. In the example<br />

in Table 7.2 prices in March were compared<br />

with those in January. Assumptions of similar<br />

price changes are required by the imputation<br />

method to hold over this period for long-run imputations.<br />

This gives rise to increasing concern when<br />

price comparisons continue over longer periods,<br />

such as between January <strong>and</strong> October, January <strong>and</strong><br />

November, <strong>and</strong> January <strong>and</strong> December, <strong>and</strong> even<br />

subsequently. In this section, a short-run formulation<br />

outlined in Sections C.3.3 <strong>and</strong> D.2 is more<br />

formally considered to help alleviate such concerns.<br />

Consider Table 7.5, which, for simplicity,<br />

has a single product A that exists throughout the<br />

period, a product B that is permanently missing in<br />

April, <strong>and</strong> a possible replacement C in April.<br />

Table 7.5. Example of Long-Run <strong>and</strong> Short-Run Comparisons<br />

Item January February March April May June<br />

Comparable<br />

replacement<br />

A 2 2 2 2 2 2<br />

B 3 3 4 n/a n/a n/a<br />

C n/a n/a n/a 6 7 8<br />

Total 5 5 6 8 9 10<br />

Explicit adjustment<br />

A 2 2 2 2 2 2<br />

B 3 3 4 5/6 x 6=5 5/6 x 7=5.8 5/6x8= 6.67<br />

C 6/5 x 3=3.60 n/a n/a 6 7 8<br />

Total 5 5 6 8 9 10<br />

Overlap<br />

A 2 2 2 2 2 2<br />

B 3 3 4 6 x 4/5=4.8 n/a n/a<br />

C n/a n/a 5 6 7 8<br />

Total 5 5 6 6.8<br />

Imputation<br />

A 2 2 2.5 3.5 4 5<br />

B 3 3 4 3.5/2.5 x 4= 5.6 4/3.5 x 5.6=6.4 5/4 x 6.4=8<br />

Total 5 5 6.5 9.1 8.4 13<br />

Figures in bold are estimated quality-adjusted prices described in the text.<br />

191

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