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Thus chain differentiation and search frictions might explain price dispersion in grocery markets.
This approach enables us to incorporate chain differentiation into the model.
This empirical evidence suggests that both search frictions and chain differentiation help explain price dispersion in Spanish grocery markets.
These observed patterns suggest that price dispersion may be due to chain differentiation and mixed strategies, which justifies estimating search costs based on a model of utility competition (as in Wildenbeest 2011).
The aim of this empirical paper is to identify patterns of cross-sectional and temporal price dispersion, and to assess the role played by search costs and chain differentiation in that dispersion.
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If store characteristics do not change (at least in the short term) and if price dispersion reflects chains differentiation, then we should expect supermarkets to set prices in a manner that preserves their ranking position.
We assume that there exists a discrete chain of differentiation stages and skipping of some stages during the process of differentiation is impossible.
In these cases, the neuritogenic effect is not affected, which is in accordance with previous reports of compounds possessing lateral hydroxylated long chain as differentiation inducers [44].
Quantitative RT-PCR at day 1 suggests that DUOXA1 overexpression reduced markers of early (myogenin) and late (myosin heavy chain – MyHC) differentiation by 66.4% and 69.1%, respectively (P < 0.05, Figure 2A).
The derivation of the proper coefficients is a straightforward, although somewhat convoluted, exercise in chain-rule differentiation.
Environment-dependent bond orders associated with atomic pairs and their derivatives are reused extensively with the aid of linked-list cells to minimize the computation associated with atomic n-tuple interactions (n⩽4 explicitly and ⩽6 due to chain-rule differentiation).
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