TESTING INTERNATIONAL PRICE TRANSMISSION UNDER ...
TESTING INTERNATIONAL PRICE TRANSMISSION UNDER ...
TESTING INTERNATIONAL PRICE TRANSMISSION UNDER ...
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Empirical Analysis: Cointegration Models Accounting for Policy Regime Changes<br />
5.2.2 Cointegration models accounting for policy regime changes<br />
Based on the theoretical framework outlined in paragraph 4.3, there are other<br />
ways, in addition to the use of a composite variable presented in the previous<br />
paragraph, to further develop it into empirical applications.<br />
Firstly, a particular cointegration model will be estimated, with different<br />
adjustments coefficients depending on the observable policy regimes (Model 2;<br />
paragraph 5.2.2.1). In this first model, the LOP will be imposed to hold between<br />
the French price and the highest between the US and the intervention price.<br />
Secondly, the price transmission elasticity will be allowed to change according to<br />
which price the French one is related to: always, the highest between the<br />
intervention and the US price (Model 3; paragraph 5.2.2.2). Finally, both<br />
adjustment coefficients and the cointegrating vector parameters will be assumed<br />
to vary (Model 4; paragraph 5.2.2.3).<br />
5.2.2.1 Model 2: a threshold model allowing for policy regime changes<br />
All models which follow still stem from the theoretical considerations outlined<br />
in the previous chapter: the French price is assumed to be linked to either the US<br />
or the intervention price depending on which of them is higher.<br />
These models are derived by introducing ad hoc modifications in a general<br />
VECM as presented in equation 3.31 in chapter 3, in order to consider the<br />
influence of policy regimes. If a simple VECM would hold between the US and<br />
the French price, then the LOP would be expected to be valid at least in the long<br />
run, despite prices being allowed to diverge from it in the short run. But such a<br />
straightforward model is clearly not appropriate, as the two variables turn out not<br />
to be cointegrated (see annex C and annex D). In paragraph 5.2.1, we anticipated<br />
that this might due to overlooking the policy regime issue.<br />
For this reason, in Model 2, we try and introduce appropriate modifications to<br />
take policy regimes in due account. We assume that the LOP holds between the<br />
French price and the US price only when the latter is above the intervention price;<br />
otherwise, the LOP will hold between the intervention and the French price 76 .<br />
This is the same as assuming that there are two distinct regimes; this model can be<br />
interpreted as a particular cointegration model in which the adjustment<br />
coefficients take different but non-zero values according to the observable policy<br />
regime the observations belong to.<br />
Technically, this requires the creation of a regime dummy variable, which we<br />
call henceforth regt; if hrwt > pintt, reg t = 1,<br />
and if hrwt < pintt , reg t = 0.<br />
We then estimate the following model:<br />
76 Price spread stationarity (i.e., the validity of the LOP in the long run) is here imposed rather than estimated.<br />
86