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Empirical Analysis: Cointegration Models Accounting for Policy Regime Changes<br />

weakly exogenous. Once again, restrictions imposing both a perfect price<br />

transmission and a zero-constant are not rejected (respectively, χ 2 = 0.0006, pvalue<br />

0.981; χ 2 = 0.001; p-value 0.970).<br />

Differently from what happens for the first sub-sample, this time the two<br />

relations estimated are much closer; the explanation lies of course in the<br />

predominance of the US price series in the composition of wref.<br />

In the second subsample, nonetheless, the evidence of cointegration for swfr<br />

and wref is weaker than in the first and in the overall ones (the null hypothesis of<br />

a zero cointegration rank is in many cases rejected only at 10% significance; see<br />

annex C). This might be due to the fact that what happened in 2002 (when the<br />

Ukrainian or Russian price, which was much lower than the US price, was<br />

probably the true “world price” for the EU), is not explicitly considered inside the<br />

cointegration vector. This would get more importance as the number of<br />

observations is reduced, which is what happens when moving from all the<br />

observations to the second sub-sample.<br />

Summing up, the composite variable used allows to consider in the<br />

cointegration model the presence of different policy regimes. When theoretical<br />

considerations are translated into empirical models, in general, the long run<br />

relation between swfr and wref is very close to the LOP both when all<br />

observations are considered, and in the two subsamples. This means that, basically<br />

after the MacSharry reform, the US price was above the intervention price and<br />

could interact with the EU price despite the same border policies scheme kept<br />

being in place. It was the reduction of the intervention price, and not the (non-)<br />

changes in the system of policy barriers 74 , which increased price interdependency.<br />

Nevertheless, this very simple model presents a number of shortcomings. If it<br />

has to be used for projections, unless the intervention price is considered as an<br />

exogenous, pre-determined and known threshold also for future months, we<br />

cannot actually identify what the wref series actually is constituted by, if the US<br />

or the intervention price. Moreover, whether the relation found is instead a linkage<br />

between the French and the intervention price, introduced as a threshold below<br />

which the US price has no influence on the EU one, poses some interpretative<br />

problems and requires further research 75 .<br />

74 As a consequence of the lowering of intervention prices, both export subsidies and variable levies were<br />

reduced, but the same protection system kept being in place.<br />

75 Verga and Zuppiroli (2003), by using weekly data, find that the US Soft Red Winter wheat Rotterdam cif<br />

price is never cointegrated with domestic European prices, and that the intervention price is cointegrated with<br />

them in the period 1990-2002 but not in the sub-period 1995-2002. This could be explained by the instability<br />

of the relation between intervention prices and EU internal prices. In 1995-2002, when both the intervention<br />

price and the US price are put together in the cointegrating relation, evidence of cointegration emerges. They<br />

suggest that EU quotations could be linked to an “average” of the two prices, but also that this is a spurious<br />

vector not appropriate for the analysis (Verga and Zuppiroli 2003 p. 19).<br />

85

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