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

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7. Treatment of Quality Change<br />

given to each price comparison since some products<br />

may account for much larger sales revenues<br />

than others. The same consideration applies to<br />

these hedonic indices. Diewert (2002e) has argued<br />

that sales values should form the basis of the<br />

weights over quantities. Two products may have<br />

sales equal to the same quantity, but, if one is<br />

priced higher than another, its price changes<br />

should be weighted higher accordingly for the result<br />

to be meaningful in an economic sense. In addition,<br />

Diewert (2002e) has shown that it is value<br />

shares that should form the weights, since values<br />

will increase–over period t + 2, for example—with<br />

prices, the residuals, <strong>and</strong> their variance thus being<br />

higher in period t + 2 than in t. This heteroskedasticity<br />

is an undesirable feature of a regression<br />

model resulting in increased st<strong>and</strong>ard errors. Silver<br />

(2002) has further shown that a WLS estimator<br />

does not purely weight the observations by their<br />

designated weights. The actual influence given is<br />

also due to a combination of the residuals <strong>and</strong> the<br />

leverage effect. The latter is higher since the characteristics<br />

of the observations diverge from the average<br />

characteristics of the data. He suggests that<br />

observations with relatively high leverage <strong>and</strong> low<br />

weights be deleted <strong>and</strong> the regression repeated.<br />

G.2.2 Period-on-period hedonic indices<br />

7.173 An alternative approach for a comparison<br />

between periods t <strong>and</strong> t + 2 is to estimate a hedonic<br />

regression for period t + 2 <strong>and</strong> insert the<br />

values of the characteristics of each model existing<br />

in period t into the period t + 2 regression to predict,<br />

for each item, its price. This would generate<br />

predictions of the prices of items existing in period<br />

t based on their z t i<br />

characteristics, at period t + 2<br />

t+<br />

2 t<br />

shadow prices, pˆ i<br />

( zi)<br />

. These prices (or an average)<br />

can be compared with the actual prices (or the<br />

t t<br />

average of prices) of models in period t, pi( zi)<br />

as<br />

a, for example, Jevons hedonic base period index:<br />

(7.29a)<br />

P<br />

JHB<br />

⎡<br />

⎢<br />

=<br />

⎣<br />

⎡<br />

⎢<br />

⎣<br />

t<br />

t<br />

1/ N<br />

N<br />

⎤<br />

t+<br />

2 t<br />

pˆ i<br />

( zi)<br />

⎥<br />

i=<br />

1 ⎦<br />

t<br />

t<br />

1/ N<br />

N<br />

⎤<br />

t t<br />

∏ pi( zi)<br />

⎥<br />

i=<br />

1<br />

∏<br />

⎦<br />

t<br />

t<br />

t<br />

1/ N<br />

t<br />

1/ N<br />

N<br />

N<br />

t+ 2 t t+<br />

2 t<br />

pˆ<br />

( ) ˆ<br />

i<br />

zi ∏pi ( zi)<br />

i= 1 i=<br />

1<br />

≈<br />

t<br />

t<br />

t 1/ N<br />

t 1/ N<br />

⎡<br />

N<br />

⎤ ⎡<br />

N<br />

⎤<br />

t<br />

t<br />

⎢∏pˆ<br />

i ⎥ ⎢∏pi<br />

⎥<br />

i= 1 i=<br />

1<br />

⎡ ⎤ ⎡ ⎤<br />

⎢∏<br />

⎥ ⎢ ⎥<br />

≈<br />

⎣ ⎦ ⎣ ⎦<br />

⎣ ⎦ ⎣ ⎦<br />

7.174 Alternatively, the characteristics of models<br />

existing in period t + 2 can be inserted into a<br />

regression for period t. Predicted prices of period t<br />

+ 2 items generated at period t shadow prices,<br />

t t 2<br />

pi( z + i<br />

), are the prices of items existing in period<br />

t + 2 estimated at period t prices, <strong>and</strong> these prices<br />

(or an average) can be compared with the actual<br />

prices (or the average of prices) in period t +<br />

t+ 2 t+<br />

2<br />

2, pi<br />

( zi<br />

); a Jevons hedonic current period index<br />

is<br />

(7.29b)<br />

P<br />

JHC<br />

⎡<br />

⎢<br />

=<br />

⎣<br />

⎡<br />

⎢<br />

⎣<br />

t+<br />

2<br />

N<br />

∏<br />

i=<br />

1<br />

t+<br />

2<br />

N<br />

∏<br />

i=<br />

1<br />

p<br />

⎤<br />

( z ) ⎥<br />

⎦<br />

t+ 2 t+<br />

2<br />

i i<br />

p<br />

t+<br />

2<br />

1/ N<br />

t+<br />

2<br />

1/ N<br />

⎤<br />

t t+<br />

2<br />

i( zi<br />

)<br />

t+ 2 t+<br />

2<br />

t+ 2 1/ N<br />

+ 2t<br />

1/ N<br />

⎡N<br />

⎤ ⎡N<br />

⎤<br />

t+ 2 t+<br />

2<br />

⎢∏pˆ<br />

i ⎥ ⎢∏pi<br />

⎥<br />

⎣ i= 1 ⎦ ⎣ i=<br />

1 ⎦<br />

t+ 2 t+<br />

2<br />

t+ 2 1/ N<br />

t+<br />

2<br />

1/ N<br />

N<br />

N<br />

t t+ 2 t t+<br />

2<br />

∏pi( zi ) ∏pi( zi<br />

)<br />

i= 1 i=<br />

1<br />

⎥<br />

⎦<br />

= =<br />

⎡ ⎤ ⎡ ⎤<br />

⎢ ⎥ ⎢ ⎥<br />

⎣ ⎦ ⎣ ⎦<br />

7.175 For a fixed base, bilateral comparison using<br />

either equation (7.29a) or (7.29b), the hedonic<br />

equation is only estimated for one period, the current<br />

period t + 2 in equation (7.29a) <strong>and</strong> the base<br />

period t in equation (7.29b). For reasons analogous<br />

to those explained in Chapters 15, 16, <strong>and</strong> 17, a<br />

symmetric average of these indices would have<br />

some theoretical support. It would be useful as a<br />

retrospective study to compare the results from<br />

both approaches (7.29a) <strong>and</strong> (7.29b). If the discrepancy<br />

is large, the results from either should be<br />

treated with caution, similar to the way a large<br />

Laspeyres <strong>and</strong> Paasche spread would cast doubt on<br />

the use of either of these indices individually. It<br />

would be evidence for the need to update the regressions<br />

more often.<br />

7.176 Note that a geometric mean of equations<br />

(7.29a) <strong>and</strong> (7.29b) uses all of the data available in<br />

each period, as does the hedonic index using a time<br />

dummy variable in (7.29). If in (7.29) there is a<br />

.<br />

.<br />

185

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