TESTING INTERNATIONAL PRICE TRANSMISSION UNDER ...
TESTING INTERNATIONAL PRICE TRANSMISSION UNDER ...
TESTING INTERNATIONAL PRICE TRANSMISSION UNDER ...
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Empirical Tests for Spatial Price Analysis<br />
integration), in which both market integration and a competitive equilibrium are<br />
verified, and are not capable of fully capturing the “messy” character of market<br />
relationships.<br />
Nevertheless, also “these methodological enhancements are no panacea”<br />
(Barrett 2001, p. 25). In fact, switching regime models have some common<br />
drawbacks. They are not dynamic, i.e. only offer static comparisons between the<br />
prices, and do not contain information about the speed of adjustment of prices; in<br />
addition to this, when trade data are not considered, violations of the spatial<br />
arbitrage conditions indicate lack of market integration irrespective of its causes.<br />
But a fundamental problem associated with switching regime models is that the<br />
believability of regime interpretation rests on “very strong and rather unrealistic”<br />
underlying distributional assumptions about which the economic theory has little<br />
to say (Barrett 2001 p.25; Fackler and Goodwin 2001, p.1012; Dercon 1999,<br />
p.2) 26 .<br />
3.2.4 Rational expectations models<br />
The hypothesis behind the use of rational expectations models is that, since<br />
price linkages are not contemporaneous and may involve lags, agents have<br />
expectations that they must formulate about prices at the time of delivery.<br />
Goodwin et al. (1990) develop a rational expectation version of the LOP.<br />
Recalling equation 2.6 (see also note 7 of chapter 2), if we admit that delivery lags<br />
are different, such as in the case where k = 0 and j > 0, we will have<br />
{ P }<br />
P +<br />
1t = β E<br />
(3.23)<br />
0 t 2t<br />
j<br />
That is simply the LOP holding when rational expectations are considered.<br />
3.3 The use of cointegration techniques in spatial price transmission<br />
Cointegration models presuppose that observable variables exhibiting<br />
nonstationary behaviour will nonetheless maintain long-run relationships. The<br />
residuals from such long run relationships are stationary. In our case, the long-run<br />
relationship is nothing but the LOP, which is assumed to be valid in the long run<br />
despite prices being allowed to diverge from it in the short run. In fact,<br />
26 For example, in Sexton’s interpretation, the assumption of independent errors is difficult to understand,<br />
since it implies that there is no process of adjustment to the arbitrage errors. In the Baulch one, the same can<br />
be said for the assumption of a half-normal distribution inside the parity bounds, since it implies a higher<br />
density near the parity bound, even though the markets are not connected at that moment in time; an identical<br />
distribution of the error inside the parity bound would be more realistic (Dercon and Campenhout 1999, p.4).<br />
35