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TESTING INTERNATIONAL PRICE TRANSMISSION UNDER ...

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

higher than the intervention price from the MacSharry reform onwards (see also<br />

figure 4.8).<br />

Looking at the behaviour of the prices, we can also notice that the French price<br />

seems to follow more the intervention price before the implementation of the<br />

MacSharry reform, i.e. when it is normally higher than the US price, and the US<br />

price afterwards, when the reverse holds (figure 4.8, and 5.1).<br />

250<br />

200<br />

150<br />

100<br />

50<br />

78<br />

1978:12<br />

1980:12<br />

Figure 5.1 Soft wheat French price and world reference price (euro/t)<br />

1982:12<br />

1984:12<br />

1986:12<br />

1988:12<br />

1990:12<br />

Source: Eurostat; International Grains Council; European Commission regulations<br />

Throughout the whole analysis that will follow, prices are expressed in logs.<br />

Unit root tests have been repeated both in the whole period and in the two subperiods<br />

identified above 64 . Augmented Dickey Fuller (ADF) tests have been run<br />

by adding the last significant lag up to a maximum of 18, due to the monthly<br />

nature of the data. Phillips-Perron (PP) tests were run with a number of lags<br />

determined by minimizing the Schwartz's Bayesian Information Criterion (SBIC)<br />

in a number of autoregressive specifications up to a maximum of 18 lags. The<br />

choice of the lag length was generally unaffected by the deterministic trend.<br />

Considering the monthly nature of tha data, 24 lags were used for the<br />

Kwiatkowski, Phillips, Schmidt e Shin (KPSS) tests. Finally, it could be argued<br />

that the presence of seasonality in the monthly price series might undermine the<br />

ability of ADF tests to verify unit roots; for this reason, monthly dummies were<br />

introduced into the ADF tests estimations 65 .<br />

64<br />

Both STATA® and GRETL (www.gretl.sourceforge.net ) softwares were used for the econometric<br />

estimations.<br />

65<br />

With monthly data, both conventional and seasonal unit roots might be present; but the latter are less<br />

plausible in economic time series since they imply an evolving seasonal pattern (Dawson and Sanjuan 2006,<br />

p. 104). For this reason, we don’t take them into account.<br />

1992:12<br />

1994:12<br />

1996:12<br />

1998:12<br />

2000:12<br />

2002:12<br />

swfr<br />

wref

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