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Empirical Tests for Spatial Price Analysis<br />

inherently incapable of determining if it is because of inefficiency in an integrated<br />

market or lack of perfect integration (Fackler and Goodwin 2001, p.1008;<br />

p.1016).<br />

Conforti (2004, p.3) notices that the prevailing approach in many papers is<br />

non-structural, and just aims at testing the consistency of the empirical evidence<br />

with the competitive framework, without proposing an explicit behavioural<br />

model; many econometric applications have analyzed mostly the dynamics of<br />

price transmission, while elaborating less from a theoretical point of view. A<br />

structural approach is on the other side more frequent in the analysis of vertical<br />

price transmission.<br />

A final consideration concerns issues related to how policy intervention is dealt<br />

with. Indeed, for agricultural commodities, border and domestic policies are in<br />

many cases expected to play a strong role. But, even if price transmission in<br />

agricultural commodities markets is an issue which has received considerable<br />

attention (Fackler and Goodwin 2001), despite the use of increasingly<br />

sophisticated econometric techniques appropriate concern for policy factors is still<br />

missing.<br />

Some modelling approaches, on the other side, while making explicit use of<br />

policy variables in price transmission equations, still rely on some simplistic<br />

assumptions, like the “small country hypothesis” for the EU in the AGMEMOD<br />

model: the EU is assumed not to have an influence on world prices, which enter<br />

the model exogenously (AGMEMOD Partnership 2007a; 2007b).<br />

Appropriate concern for policy factors seems to be of crucial importance for<br />

some agricultural commodities, as will be clear in chapter 4. The objective of this<br />

work is to develop a consistent theoretical framework explicitly considering<br />

policy variables and policy regimes (chapter 4), while empirical applications will<br />

be provided in chapters 5 and 6.<br />

3.5 Concluding remarks<br />

To test for price co-movement, a variety of empirical methods have been used<br />

as soon as new econometric techniques were developed: simple regression and<br />

correlation analysis, dynamic regression models, switching regime models and<br />

rational expectation models. In particular, amongst the dynamic models,<br />

cointegration techniques soon had an intuitive appeal for the study of price<br />

transmission, as they allow to disentangle short and long run dynamics. These<br />

models have been extensively used and developed towards several directions<br />

(such as the introduction of thresholds, the possibility of asymmetric adjustment,<br />

the introduction of structural breaks).<br />

For agricultural commodities, price transmission mechanisms have been<br />

extensively studied: most works basically aim at verifying whether the LOP holds<br />

51

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