The first-differentiated Stone's index, ∆ logP* may be decomposed into three components:
n nn
(9) ∆ log P * = ∑ w. ∙∆ log pj + ∑ ∆ w ■ log pj - ∑ ∆ w ∙∆ log pj .
j =1j =1j =1
The second and third term are likely to be quite small since, in the context of time-series data,
shares usually do not change much from one observation to the next (Alston and Chalfant).
Substituting the first term of ∆ logP * from Equation (9) into the first-differentiated LA/AIDS in
Equation (8) yields
(10) ∆wi≈∑n γij∆logpj+βi[∆logX-∑n wj∆logpj].
j =1j =1
Equation (10) is similar to the Rotterdam model. Any difference is in the specification of the
income term. Theil and Clements (1987) refer to DQ in Equation (1) as a finite change version of
the Divisia volume index (Alston and Chalfant). It is approximately equal to
(11) DQ* =∆ log X -∆ log P ° ,
n
where ∆ log P ° = ∑ wj ■ ∆ log pj, which is similar to the first-differentiated Stone’s price index
j=1
in Equation (9). Substituting DQ* for DQ, the Rotterdam model is re-specified as follows
More intriguing information
1. Chebyshev polynomial approximation to approximate partial differential equations2. Großhandel: Steigende Umsätze und schwungvolle Investitionsdynamik
3. On the Integration of Digital Technologies into Mathematics Classrooms
4. Dynamic Explanations of Industry Structure and Performance
5. Ongoing Emergence: A Core Concept in Epigenetic Robotics
6. Evidence on the Determinants of Foreign Direct Investment: The Case of Three European Regions
7. The name is absent
8. The name is absent
9. The name is absent
10. On the Real Exchange Rate Effects of Higher Electricity Prices in South Africa