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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 />

tionship may reflect the increasing or decreasing<br />

utility to the scale of the provision. The characteristic<br />

may be priced at a higher rate in up-market<br />

models of the product versus down-market ones,<br />

that is, β ≥ 1 in equation (7.21).<br />

7.125 The similarity between the quantity adjustment<br />

<strong>and</strong> the option cost approach can be identified<br />

by simply considering Figure 7.1 with the z<br />

characteristic being the option horizontal axis. The<br />

similarity between the quantity adjustment <strong>and</strong> the<br />

option cost approach is apparent because both relate<br />

price to some dimension of quality: the size or<br />

the option. The option cost approach can be extended<br />

to more than one quality dimension. Both<br />

approaches rely on the acquisition of estimates of<br />

the change in price resulting from a change in the<br />

options or size: the β slope estimates. In the case of<br />

the quantity adjustment, this is taken from a product<br />

identical to the one being replaced except for<br />

the size. The β slope estimate in this case would be<br />

perfectly identified from the two pieces of data. It<br />

is as if changes in the other factors’ quality were<br />

accounted for by the nature of the experiment; this<br />

is done by comparing prices of what is essentially<br />

the same thing except for change in quantity.<br />

There may be, for example, two items that are<br />

identical except for the possession of a single feature.<br />

This allows the value of the feature to be determined.<br />

Yet sometimes the worth of a feature or<br />

option has to be extracted from a much larger data<br />

set. This may be because the quality dimension<br />

takes a relatively large range of possible numerical<br />

values without an immediately obvious consistent<br />

valuation. Consider the simple example of y one<br />

feature varying in a product: processor speed in a<br />

PC. It is not a straightforward matter to determine<br />

the value of an additional unit of speed. To complicate<br />

matters, there may be several quality dimensions<br />

to the items, <strong>and</strong> not all combinations of<br />

these may exist as items in the market in any one<br />

period. Furthermore, the combinations existing in<br />

the second period being compared may be quite<br />

different than those in the first. All of this leads to<br />

a more general framework.<br />

Figure 7.1. Quality Adjustment for Different Sized Items<br />

2.50<br />

<strong>Price</strong><br />

2.00<br />

1.50<br />

1.00<br />

5<br />

3<br />

3<br />

∆ Size<br />

∆ <strong>Price</strong><br />

0.50<br />

β = ∆ <strong>Price</strong> / ∆ Size<br />

0.00<br />

0 0.25 0.5 0.75<br />

Size in Kilograms<br />

170

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