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

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1. An Introduction to PPI Methodology<br />

PPI with those in a subsequently calculated superlative<br />

version may be helpful in evaluating <strong>and</strong> interpreting<br />

movements in the official PPI. It may be<br />

that revenue data can be collected from establishments<br />

alongside price data, <strong>and</strong> this is to be encouraged<br />

so that Fisher PPI indices may be calculated in<br />

real time for at least some industrial sectors. To the<br />

extent that revenue data are available on an annual<br />

basis, annual chain Laspeyres indices could be produced<br />

initially <strong>and</strong> Fisher or Törnqvist indices produced<br />

subsequently as the new revenue weights become<br />

available. The advantage of the annual updating<br />

is that chaining helps to reduce the spread between<br />

the Laspeyres <strong>and</strong> Paasche indices.<br />

1.115 Section B.7 of Chapter 17 notes that, in<br />

practice, PPIs are usually calculated in stages (see<br />

Chapters 9 <strong>and</strong> 20) <strong>and</strong> addresses the question of<br />

whether indices calculated this way are consistent<br />

in aggregation—that is, have the same values<br />

whether calculated in a single operation or in two<br />

stages. The Laspeyres index is shown to be exactly<br />

consistent, but superlative indices are not. However,<br />

the widely used Fisher <strong>and</strong> Törnqvist indices are<br />

shown to be approximately consistent.<br />

E.4 Allowing for substitution<br />

1.116 Section B.8 of Chapter 17 examines one<br />

further index proposed recently, the Lloyd-Moulton<br />

index, P LM , defined as follows:<br />

(1.16)<br />

P<br />

LM<br />

⎧<br />

⎪<br />

≡⎨<br />

⎪⎩<br />

n<br />

∑<br />

i=<br />

1<br />

t<br />

0<br />

⎛ p ⎞<br />

i<br />

si<br />

⎜ 0 ⎟<br />

⎝ pi<br />

⎠<br />

1<br />

1−σ<br />

1−σ<br />

⎫<br />

⎪<br />

⎬<br />

⎪⎭<br />

σ≠1<br />

The parameter σ, which must be nonpositive for the<br />

output PPI, is the elasticity of substitution between<br />

the products covered. It reflects the extent to which,<br />

on average, the various products are believed to be<br />

substitutes for each other. The advantage of this index<br />

is that it may be expected to be free of substitution<br />

bias to a reasonable degree of approximation,<br />

while requiring no more data, except for an estimate<br />

of the parameter σ, than the Laspeyres index. It is<br />

therefore a practical possibility for PPI calculation,<br />

even for the most recent periods. However, it is<br />

likely to be difficult to obtain a satisfactory, acceptable<br />

estimate of the numerical value of the elasticity<br />

of substitution, the parameter used in the formula.<br />

E.5 Intermediate input price indices<br />

<strong>and</strong> value-added deflators<br />

1.117 Having considered the theory <strong>and</strong> appropriate<br />

formula for output price indices, Chapter 17<br />

turns to intermediate input price indices (Section C)<br />

<strong>and</strong> to value added deflators (Section D). The behavioral<br />

assumption behind the theory of the output<br />

price index was one of producers maximizing a<br />

revenue function. An input price index is concerned<br />

with the price changes of intermediate inputs, <strong>and</strong><br />

the corresponding behavioral assumption is the<br />

minimization of a conditional cost function. The<br />

producer is held to minimize the cost of intermediate<br />

inputs in order to produce a set of outputs, given<br />

a set of intermediate inputs prices <strong>and</strong> that primary<br />

inputs <strong>and</strong> technology are fixed. These are fixed so<br />

that hypothetical input quantities can be generated<br />

from a fixed setup that allows the input quantities in<br />

period 1 to reflect the producer buying more of<br />

those inputs that have become cheaper. Theoretical<br />

intermediate input price indices are defined as ratios<br />

of hypothetical intermediate input costs that the<br />

cost-minimizing producer must pay in order to produce<br />

a fixed set of outputs from technology <strong>and</strong><br />

primary inputs fixed to be the same for the comparison<br />

in both periods. As was the case with the<br />

theory of the output price index, theoretical input<br />

indices can be derived on the basis of either fixed<br />

period 0 technology <strong>and</strong> primary inputs, or fixed<br />

period 1 technology <strong>and</strong> primary inputs, or some<br />

average of the two. The observable Laspeyres index<br />

of intermediate input prices is shown to be an upper<br />

bound to the theoretical intermediate input price index<br />

based on period 0 technology <strong>and</strong> inputs. The<br />

observable Paasche index of intermediate input<br />

prices is a lower bound to its theoretical intermediate<br />

input price index based on period 1 fixed technology<br />

<strong>and</strong> inputs. Note that these inequalities are<br />

the reverse of the findings for the output price index,<br />

but that they are analogous to their counterparts<br />

in the CPI for the theory of the true cost-ofliving<br />

index, which is also based on an expenditure<br />

(cost) minimization problem.<br />

1.118 Following the analysis for the output price<br />

index, a family of intermediate input price indices<br />

can be shown to exist based on an average of period<br />

0 <strong>and</strong> period 1 technologies <strong>and</strong> inputs leading<br />

to the result that Laspeyres (upper) <strong>and</strong> Paasche<br />

(lower) indices are bounds on a reasonable theoretical<br />

input index. A symmetric mean of the two<br />

bounds is argued to be applicable given that<br />

23

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