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

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15. Basic <strong>Index</strong> Number <strong>Theory</strong><br />

401<br />

Appendix 15.3: Relationship Between<br />

Young <strong>Index</strong> <strong>and</strong> its Time<br />

Antithesis<br />

15.105 Recall that the direct Young index,<br />

P Y (p 0 ,p t ,s b ), was defined by equation (15.48) <strong>and</strong><br />

its time antithesis, P Y *(p 0 ,p t ,s b ), was defined by<br />

equation (15.52). Define the ith relative price between<br />

months 0 <strong>and</strong> t as<br />

t 0<br />

(A15.3.1) r ≡ p / p ; i = 1,...,n ,<br />

i i i<br />

<strong>and</strong> define the weighted average (using the baseyear<br />

weights s i b ) of the r i as<br />

(A15.3.2) r<br />

∗<br />

n<br />

≡ ∑ s r ,<br />

i=<br />

b<br />

i i<br />

which turns out to equal the direct Young index,<br />

P Y (p 0 ,p t ,s b ). Define the deviation e i of r i from their<br />

weighted average r* using the following equation:<br />

∗<br />

(A15.3.3) r = r (1 + e ); i = 1,...,n.<br />

i<br />

i<br />

If equation (A15.3.3) is substituted into equation<br />

(A15.3.2), the following equations are obtained:<br />

∗ b ∗<br />

(A15.3.4) r ≡ s r (1 + e )<br />

(A15.3.5) e<br />

n<br />

∑<br />

i=<br />

1<br />

n<br />

i<br />

r ∗ ∗<br />

= + r ∑ s e since<br />

∗<br />

n<br />

∑<br />

i=<br />

1<br />

i=<br />

1<br />

b<br />

i i<br />

b<br />

≡ s e = 0.<br />

i<br />

i<br />

i<br />

n<br />

∑<br />

i=<br />

1<br />

s<br />

b<br />

i<br />

= 1<br />

Thus, the weighted mean e* of the deviations e i<br />

equals 0.<br />

15.106 The direct Young index, P Y (p 0 ,p t ,s b ), <strong>and</strong><br />

its time antithesis, P Y *(p 0 ,p t ,s b ), can be written as<br />

functions of r*, the weights s i b <strong>and</strong> the deviations<br />

of the price relatives e i as follows:<br />

(A15.3.6)<br />

P p p s r ∗<br />

0 t b<br />

Y<br />

( , , ) = ;<br />

n<br />

∗ 0 t b ⎡ b ∗<br />

Y<br />

= ⎢∑<br />

i<br />

⎣ i=<br />

1<br />

+<br />

i<br />

n<br />

−1<br />

∗⎡<br />

b −1⎤<br />

⎢∑<br />

i<br />

(1<br />

i) ⎥ .<br />

i=<br />

1<br />

(A15.3.7) P ( p , p , s ) s { r (1 e )}<br />

= r s + e<br />

⎣<br />

⎦<br />

−1<br />

−1<br />

⎤<br />

⎥<br />

⎦<br />

15.107 Now, regard P Y *(p 0 ,p t ,s b ) as a function of<br />

the vector of deviations, e ≡ [e 1 ,…,e n ], say P Y *(e).<br />

The second-order Taylor series approximation to<br />

P Y *(e) around the point e = 0 n is given by the following<br />

expression: 81<br />

(A15.3.8)<br />

n n n n<br />

b b b b<br />

P ∗ () e ≈ r ∗ + r ∗ s e + r ∗ s s ee −r ∗ s e<br />

∑ ∑∑ ∑<br />

[ ] 2<br />

Y i i i j i j i i<br />

i= 1 i= 1 j= 1 i=<br />

1<br />

n n n<br />

∗ ∗ ∗ b<br />

⎡<br />

b<br />

⎤<br />

b ∗<br />

= r + r 0 + r ∑ si ⎢ ∑ sjej⎥ei −r*<br />

∑ s ⎡<br />

i ⎣ei<br />

−e<br />

⎤<br />

⎦<br />

i= 1 ⎣ j= 1 ⎦<br />

i=<br />

1<br />

using equation (A15.3.5)<br />

n<br />

n<br />

∗ ∗ b<br />

∗ b ∗<br />

∑ i [ 0]<br />

i ∑ ⎡<br />

i ⎣ i<br />

i= 1 i=<br />

1<br />

= r + r s e −r s e −e<br />

⎤<br />

⎦<br />

using equation (A15.3.5)<br />

n<br />

0 t b 0 t b b<br />

Y( , , )<br />

Y( , , ) ∑ ⎡<br />

i ⎣ i<br />

i=<br />

1<br />

= P p p s −P p p s s e −e ∗ ⎤<br />

⎦<br />

using equation (A15.3.6)<br />

= P p p s − P p p s Var e<br />

0 t b 0 t b<br />

Y( , , )<br />

Y( , , )<br />

where the weighted sample variance of the vector e<br />

of price deviations is defined as<br />

b<br />

(A15.3.9) Var e ≡ s ⎡<br />

i ⎣ei<br />

−e ∗ ⎤<br />

⎦ .<br />

n<br />

∑<br />

i=<br />

1<br />

15.108 Rearranging equation (A15.3.8) gives the<br />

following approximate relationship between the direct<br />

Young index P Y (p 0 ,p t ,s b ) <strong>and</strong> its time antithesis<br />

P Y *(p 0 ,p t ,s b ), to the accuracy of a second-order<br />

Taylor series approximation about a price point<br />

where the month t price vector is proportional to<br />

the month 0 price vector:<br />

(A15.3.10)<br />

0 t b ∗ 0 t b 0 t b<br />

P ( p , p , s ) ≈ P ( p , p , s ) + P ( p , p , s ) Var e.<br />

Y Y Y<br />

81 This type of second-order approximation is credited to<br />

Dalén (1992, p. 143) for the case r* = 1 <strong>and</strong> to Diewert<br />

(1995, p. 29) for the case of a general r*.<br />

2<br />

2<br />

2<br />

2

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