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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 />

situation typically occurs when there are two<br />

parallel markets. There may be a primary, or official,<br />

market in which the quantities sold, <strong>and</strong><br />

the prices at which they are sold are subject to<br />

government or official control, while there may<br />

be a secondary market—a free market or unofficial<br />

market—whose existence may or may not be<br />

recognized officially.<br />

7.89 There is extensive literature in economics<br />

dealing with theory <strong>and</strong> evidence of price dispersion<br />

<strong>and</strong> its persistence, even when quality differences<br />

have been accounted for. The differences<br />

can be substantial: Yoskowitz’s (2002) study for<br />

raw water found one supplier discriminating<br />

against a private customer, charging $500 per acre<br />

foot (AF) while a municipality was charged $20<br />

per AF, though there was some evidence of arbitrage<br />

<strong>and</strong> learning. It is not the role of this <strong>Manual</strong><br />

to examine such theories <strong>and</strong> evidence, so readers<br />

are referred to the following studies: Stigler (1961)<br />

<strong>and</strong> Lach (2002) on search cost theory; Sheshinski<br />

<strong>and</strong> Weiss (1977) <strong>and</strong> Ball <strong>and</strong> Mankiw (1994) on<br />

menu cost theory; <strong>and</strong> Friedman (1977) <strong>and</strong> Silver<br />

<strong>and</strong> Ioannidis (2001) on signal extraction models.<br />

D.2 Overall Mean/Targeted Mean<br />

Imputation<br />

7.90 This method uses the price changes of<br />

other products as estimates of the price changes of<br />

the missing products. Consider a Jevons elementary<br />

price index, that is, a geometric mean of price<br />

relatives (Chapter 20). The prices of the missing<br />

items in the current period, say t + 1, are imputed<br />

by multiplying their prices in the immediately preceding<br />

period t by the geometric mean of the price<br />

relatives of the remaining matched items between<br />

these two periods. The comparison is then linked<br />

by multiplication to the price changes for previous<br />

periods. It is the computationally most straightforward<br />

of methods, since the estimate can be undertaken<br />

by simply dropping the items that are missing<br />

from both periods from the calculation. In<br />

practice, the series is continued by including in the<br />

database the imputed prices. It is based on the assumption<br />

of similar price movements. A targeted<br />

form of the method would use similar price<br />

movements of a cell or elementary aggregate of<br />

similar products, or be based on price changes at a<br />

higher level of aggregation if either the lower level<br />

had an insufficient sample size or price changes at<br />

the higher level were judged to be more representative<br />

of the price changes of the missing product.<br />

7.91 In the example in Table 7.2(b) the January<br />

to February comparison for both product types is<br />

based on products 1, 2, 5, 6, <strong>and</strong> 8. For March<br />

compared with January—weights all equal to<br />

unity—the product 2 <strong>and</strong> product 6 prices are imputed<br />

using the short-run price change for February<br />

(p 2 ) compared with March (p 3 ) based on products<br />

1, 5, <strong>and</strong> 8. Since different formulas are used<br />

for elementary aggregation, the calculation for the<br />

three main formulas are illustrated here (see Chapter<br />

20 for choice of formulas). The geometric mean<br />

of the price ratios—the Jevons index—is<br />

1/3<br />

N<br />

2 3 ⎡ 3 2⎤<br />

(7.7) PJ( p , p ) = ⎢ ∏ pi / pi<br />

⎥<br />

⎣ i=<br />

1 ⎦<br />

= ⎡<br />

⎣<br />

p / p × p / p × p / p<br />

( 3 2 ) ( 3 2 ) ( 3 2<br />

) ⎤<br />

1/3<br />

1 1 5 5 8 8<br />

( 6/5) ( 12/11 ) ( 10/10) ⎤<br />

1/3<br />

= ⎡⎣ × × ⎦<br />

= 1.0939, or a 9.39 percent increase.<br />

The ratio of average (mean) prices—the Dutot index—is<br />

(7.8)<br />

N<br />

N<br />

2 3 3 2<br />

D( , ) = ∑ i<br />

/ / ∑ i<br />

/<br />

i= 1 i=<br />

1<br />

3 3 3 2 2 2<br />

p1 p5 p8 p1 p5 p8<br />

P p p p N p N<br />

( ) ( )<br />

= + + /3 ÷ + + /3<br />

= (6 + 12 + 10) / (5 + 11 + 10) = 1.0769,<br />

or a 7.69 percent increase.<br />

The average (mean) of price ratios – the Carli index<br />

- is:<br />

N<br />

3 2 3 2<br />

(7.9) PC( P , P ) = ∑ ( pn / pn)/<br />

N<br />

n=<br />

1<br />

3 2 3 2 3 2<br />

1 1 5 5 8 8<br />

( )<br />

= ⎡ p / p ( p / p ) ( p / p ) ⎤<br />

⎣<br />

+ +<br />

⎦<br />

/3<br />

= [(6/5 + 12/11 + 10/10)] / 3 = 1.09697,<br />

or a 9.697 percent increase.<br />

7.92 In practice the imputed figure would be<br />

entered onto the data sheet. Table 7.2(b) has the<br />

overall mean imputation in March for product 2<br />

<strong>and</strong> 6, using the Jevons index, as 1.0939 x 6 =<br />

6.563 <strong>and</strong> 1.0939 x 12 = 13.127, respectively,<br />

(bold type). It should be noted that the Dutot index<br />

is in this instance lower that the Jevons index, a result<br />

not expected from the relationships established<br />

in Chapter 20. The relationship in Chapter 20 assumed<br />

the variance in prices would increase over<br />

time whereas in Table 7.1(b), it decreases for the<br />

three products. The arithmetic mean of price rela-<br />

⎦<br />

160

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