TESTING INTERNATIONAL PRICE TRANSMISSION UNDER ...
TESTING INTERNATIONAL PRICE TRANSMISSION UNDER ...
TESTING INTERNATIONAL PRICE TRANSMISSION UNDER ...
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Price Transmission and the Law of One Price<br />
Exchange rates “pass-through” on output prices, which has been studied in<br />
relation to pricing to market behaviour, and exchange rate risks do have an effect<br />
on export prices (Miljkovic 1999, p.134-135).<br />
Finally, imperfect flows of information can rise the cost of arbitraging.<br />
Moreover, price transmission might also be characterized by asymmetry, i.e. it<br />
differs according to whether prices are increasing or decreasing (in magnitude,<br />
speed or both). Price transmission asymmetry implies a different distribution of<br />
welfare than what we would have under symmetry and might be a manifestation<br />
of market failure (for a survey see Meyer and von Craumon-Taubadel 2004).<br />
Asymmetric adjustment costs, asymmetric information and, of course, market<br />
power might be at the origin of horizontal price transmission asymmetry (see<br />
paragraph 3.3.2.2 14 ).<br />
At this point, it should be clear that distance and transportation costs, after<br />
adjusting for exchange rates, don’t account for international price variability.<br />
Miljkovic (1999, p.130) notes that this is implicitly recognized in Stigler and<br />
Sherwin (1985) already: when claiming that a product’s prices “tend” to move<br />
together, they are aware of the existence of multiple prices for a good in the same<br />
market. “Because it is recognized that international markets are (generally) far<br />
from perfect, it is not clear why imposing the LOP in international agricultural<br />
trade modelling is so critical” (Miljkovic 1999, p.130). Moreover, a number of<br />
the studies aiming at testing the LOP have national or at most interregional<br />
dimension (Baulch 1997; Sexton et al. 1991).<br />
In most empirical models (see chapter 3), all sources of deviations from the<br />
LOP not explicitly considered amongst the regressors turn out to be included in<br />
the error term. This, in turn, implies strong assumptions on their behaviour. For<br />
example, we can anticipate that, in cointegration models, which will be<br />
extensively dealt with in the remainder of this work, they are assumed to be<br />
stationary (if the model is expressed in logarithms, stationary around a constant<br />
proportion of prices).<br />
An important consequence is that, being the hypothesis at the basis of the LOP<br />
very strict, a transmission parameter will summarize the overall effect of a set of<br />
factors affecting price signals (transaction costs, the existence of market power<br />
and so on). The fact that some of this elements change proportionally with the<br />
prices while some others directly impact on price spreads, and that their effects<br />
are likely to interact with each other, further complicate the analysis.<br />
Nevertheless, still the value of the parameters and their significance level provides<br />
information about the extent to which markets share the same price shocks<br />
(Conforti 2004, p.5). At the same time, knowledge of the institutions and<br />
14 In agricultural economics, asymmetric price transmission is an issue extensively dealt with in vertical price<br />
transmission analyses (see for example Meyer and von Craumon-Taubadel 2004).<br />
20