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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 />

theoretical output price index, but that a Laspeyres<br />

index is calculated instead for practical reasons.<br />

One important conclusion to be drawn from this<br />

preliminary analysis is that the PPI may be expected<br />

to have a downward bias. Similarly, a series<br />

of Paasche PPIs used to deflate a series of output<br />

values at current prices generates a series of values<br />

at constant period 0 prices (Laspeyres volume index),<br />

which in turn will also suffer from a downward<br />

bias. The approach informs us that there are<br />

two equally valid theoretical economic price indices,<br />

<strong>and</strong> that the bound, while useful, only show<br />

how Laspeyres <strong>and</strong> Paasche indices compare with<br />

their own theoretical counterparts. What we require<br />

are two-sided bounds on the theoretically justified<br />

index.<br />

E.3 Estimating theoretical output<br />

indices by superlative indices<br />

1.99 The next step is to establish whether there<br />

are special conditions under which it may be possible<br />

to exactly measure a theoretical PPI. In Section<br />

B.2 of Chapter 17 theoretical indices based on<br />

weighted “averages” of the period 0 <strong>and</strong> period 1<br />

technology <strong>and</strong> similarly weighted averages of the<br />

period 0 <strong>and</strong> 1 inputs are considered. These theoretical<br />

indices deal adequately with substitution effects;<br />

that is, when an output price increases, the<br />

producer’s supply increases, holding inputs <strong>and</strong> the<br />

technology constant. Such theoretical indices are<br />

argued to generally fall between the Laspeyres<br />

(lower bound) <strong>and</strong> Paasche (upper bound) indices.<br />

The Fisher index, as the geometric mean of the<br />

Laspeyres <strong>and</strong> Paasche indices, is the only symmetric<br />

average of Laspeyres <strong>and</strong> Paasche that satisfies<br />

the time reversal test. Thus, economic theory was<br />

used to justify Laspeyres <strong>and</strong> Paasche bounds, <strong>and</strong><br />

axiomatic principles led to the Fisher price index as<br />

the best symmetric average of these bounds.<br />

1.100 In Section B.3 of Chapter 17 the case for<br />

the Törnqvist index number formula is presented. It<br />

is assumed that the revenue function takes a specific<br />

mathematical form: a translogarithmic function.<br />

If the price coefficients of this translog form<br />

are equal across the two periods being compared,<br />

then the geometric mean of the economic output<br />

price index that uses period 0 technology <strong>and</strong> the<br />

period 0 input vector, <strong>and</strong> the economic output<br />

price index that uses period 1 technology <strong>and</strong> the<br />

period 1 input vector, are exactly equal to the Törnqvist<br />

output price index. The assumptions required<br />

for this result are weaker than other subsequent assumptions;<br />

in particular, there is no requirement<br />

that the technologies exhibit constant returns to<br />

scale in either period. The ability to relate an actual<br />

index number formula (Törnqvist) to a specific<br />

functional form (translog) for the production technology<br />

is a powerful analytical device. Statisticians<br />

using particular index number formulas are in fact<br />

replicating particular mathematical descriptions of<br />

production technologies. A good formula should<br />

not correspond to a restrictive functional form for<br />

the production technology.<br />

1.101 Diewert (1976) described an index number<br />

formula to be superlative if it is equal to a theoretical<br />

price index whose functional form is flexible—<br />

it can approximate an arbitrary technology to the<br />

second order. That is, the technology by which inputs<br />

are converted into output quantities <strong>and</strong> revenues<br />

is described in a manner that is likely to be realistic<br />

of a wide range of forms. Relating a class of<br />

index number formulas to technologies represented<br />

by flexible functional forms is another powerful<br />

finding, since it gives credence to this class of index<br />

number formulas. Note also that the translog functional<br />

form is an example of a flexible functional<br />

form, so the Törnqvist output price index number<br />

formula is superlative. In contrast to the theoretical<br />

indices, a superlative index is an actual index number<br />

that can be calculated. The practical significance<br />

of these results is that they give a theoretical<br />

justification for expecting a superlative index to<br />

provide a fairly close approximation to the unknown,<br />

underlying theoretical index in a wide range<br />

of circumstances.<br />

1.102 In Section B.4 the Fisher index is revisited<br />

from a purely economic approach. An additional<br />

assumption is invoked, that outputs are homogeneously<br />

separable from other commodities in the production<br />

function: if the input quantities vary, the<br />

output quantities vary with them, so that the new<br />

output quantities are a uniform expansion of the old<br />

output quantities. It is shown that a homogeneous<br />

quadratic utility function is flexible <strong>and</strong> corresponds<br />

to the Fisher index. The Fisher output price<br />

index is therefore also superlative. This is one of<br />

the more famous results in index number theory.<br />

Although it is generally agreed that it is not plausible<br />

to assume that a production technology would<br />

have this particular functional form, this result does<br />

at least suggest that, in general, the Fisher index is<br />

likely to provide a close approximation to the un-<br />

20

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