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

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7. Treatment of Quality Change<br />

ing a sample of prices collected as part of the st<strong>and</strong>ard<br />

price collection for the Finish CPI, which has<br />

some similarities to a PPI. Of the 83 spring prices,<br />

only 55 matched comparisons could be made with<br />

the summer prices, <strong>and</strong> of these, only 16 continued<br />

through to the fall. They noted that the sample of<br />

matched pairs became increasingly biased: of the<br />

79 models in the fall, the 16 matched ones had a<br />

mean processor speed of 518 MHz compared with<br />

628 MHz for the remaining 63 unmatched ones;<br />

the respective hard disk sizes were 10.2 gigobytes<br />

(GB) <strong>and</strong> 15.0 GB; <strong>and</strong> the percentages of highend<br />

processors (Pentium III <strong>and</strong> AMD Athlon)<br />

were 25 percent <strong>and</strong> 49.2 percent, respectively.<br />

Hardly any change in matched prices was found<br />

over this six-month period, while a hedonic regression<br />

analysis using all of the data found qualityadjusted<br />

price falls of around 10 percent. Instructions<br />

to respondents to hold on to models until<br />

forced replacements are required may lead to a<br />

sample increasingly unrepresentative of the population<br />

<strong>and</strong> be biased toward technically inferior<br />

variants. In this instance, the hedonic price<br />

changes fell faster since the newer models became<br />

cheaper for the services supplied.<br />

7.165 Kokoski, Moulton, <strong>and</strong> Zieschang (1999)<br />

used hedonic regressions in an empirical study of<br />

inter-area price comparisons of food products<br />

across U.S. urban areas using U.S. CPI data. They<br />

found a negative sign on the coefficients of<br />

dummy variables for whether or not the sample<br />

products were from newly rotated samples<br />

(dummy variable = 1) or samples before rotation<br />

(dummy variable = 0). This indicated that qualityadjusted<br />

prices were lower for the newly included<br />

products compared with the quality-adjusted prices<br />

of the old products.<br />

7.166 Silver <strong>and</strong> Heravi (2002) found evidence<br />

of sample degradation when matching prices of<br />

U.K. washing machines over a year. By December,<br />

only 53 percent of the January basket of model varieties<br />

was used for the December/January index,<br />

although this accounted for 81.6 percent of January<br />

expenditure. Models of washing machines with<br />

lower sales values dropped out quicker. However,<br />

the remaining models in December accounted for<br />

only 48.2 percent of the value of transactions in<br />

December. The active sample relating to the universe<br />

of transactions in December had substantially<br />

deteriorated. The prices of unmatched <strong>and</strong><br />

matched models differed, as did their vintage <strong>and</strong><br />

quality. Even when prices were adjusted for quality<br />

using hedonic regressions, prices of unmatched<br />

old models were found to be lower than matched<br />

ones; there was also evidence of higher prices for<br />

unmatched new models. Quality-adjusted prices<br />

fell faster for the matched sample than the full<br />

sample: about 10 percent for the former compared<br />

with about 7 percent for the latter. Residuals from<br />

a common hedonic surface <strong>and</strong> their leverage were<br />

also examined. The residuals from unmatched new<br />

models were higher than matched ones, while residuals<br />

from unmatched old models were much<br />

lower. Unmatched observations had nearly twice<br />

the (unweighted) leverage than matched ones; their<br />

influence in the estimation of the parameters of the<br />

regression equation was much greater <strong>and</strong> their exclusion<br />

more serious.<br />

7.167 These studies demonstrate how serious<br />

sample degradation can occur <strong>and</strong> how unmatched<br />

excluded products may be quite different from included<br />

ones. Two procedures for dealing with such<br />

situations will be considered: the use of hedonic<br />

price indices instead of the partial hedonic patching<br />

discussed above <strong>and</strong> chaining. Both rely on a<br />

data set of a representative sample of products <strong>and</strong><br />

their characteristics in each period. A checklist of<br />

structured product characteristics to be completed<br />

each reporting period is one way changes in quality<br />

characteristics can be prompted <strong>and</strong> monitored:<br />

this is especially useful in high-technology industries<br />

(Merkel, 2000). If a new product is introduced<br />

<strong>and</strong> has or is likely to have substantial sales, then it<br />

is included as a replacement or even an addition.<br />

Its characteristics are marked off against a checklist<br />

of salient characteristics. The list will be developed<br />

when the sample is initiated <strong>and</strong> updated<br />

as required. Alternatively, web pages <strong>and</strong> trade associations<br />

may also be able to provide lists of<br />

models <strong>and</strong> their prices; however, the need for<br />

transaction prices as opposed to list prices is<br />

stressed.<br />

G.2 Hedonic price indices<br />

7.168 It is important to distinguish between the<br />

use of hedonic regressions to make adjustments for<br />

quality differences when a noncomparable substitute<br />

is used, as in Section E, <strong>and</strong> their use in their<br />

own right as hedonic price indices, which are<br />

measures of quality-adjusted price changes. Hedonic<br />

price indices are suitable when the pace <strong>and</strong><br />

scale of replacements of products are substantial.<br />

183

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