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Empirical Tests for Spatial Price Analysis<br />

time. What we argue is that the presence of border and domestic regulation<br />

policies for the commodity considered (which makes export and domestic prices<br />

for the European Union intrinsically different, as we will see in chapter 4), when<br />

not adequately and explicitly modelled, increases the difficulties in comparing and<br />

assessing the results.<br />

3.4 Problems in empirical models relying on price data<br />

As explained in paragraph 2.3, any study of price transmission ultimately refers<br />

to verifying the validity of the LOP. Empirical evidence is controversial and, in<br />

most cases, the LOP fails. This can be due to the scarce probability for its<br />

hypothesis to hold in practice (paragraph 2.3), but this issue is also strictly<br />

entangled to the underlying hypothesis and properties of the models used, and this<br />

is particularly true if they rely only on price data.<br />

Despite the use, over the past decades, of increasingly sophisticated techniques<br />

(amongst which, the very development of cointegration models represented a<br />

turning point), it is well recognized that none of the approaches described in this<br />

chapter is preferable in all cases, and that inferences should not be based upon a<br />

single test but, if possible, on a variety of inferential techniques. Models’<br />

misspecifications and, more generally, their inherent characteristics, have indeed<br />

been added as an explanation for not finding empirical evidence supporting the<br />

LOP.<br />

What is common to all the empirical approaches which have been revised is<br />

that they basically rely on the use of price data, only, and of transport costs<br />

(normally freight rates) when available. Most of the literature normally uses<br />

traded prices (cost insurance freight, cif, or freight on board, fob) already<br />

converted in US dollars. Price series are usually nominal 37 . As far as exchange<br />

rates are concerned, they are likely to be endogenous only if highly aggregated<br />

data are used, so it is claimed that the appropriate level of disaggregation allows<br />

to treat them as exogenous variables (Richardson 1978; Goodwin et al. 1990;<br />

Mohanty and Langley 2003). Vollrath and Hallahan (2006) propose a “detailed”<br />

LOP model that explicitly accounts for changes in prices due to the exchange rate<br />

(see paragraph 3.2.1). Nevertheless, some attempts of separating prices and<br />

exchange rates have been criticised as too restrictive (Crouhy-Verac et al. 1982<br />

cited Goodwin et al. 1990, p.686).<br />

In all inferential techniques relying only on price data a critical problem is<br />

constituted by transaction costs, which are composed by a variety of elements<br />

which, as seen in the previous paragraph, hardly ever can be exactly addressed.<br />

When tests rely on prices only it is just not possible to separately test the<br />

37 Aldermann (1992), Goodwin et al. (1999) (both, for regional markets of the same country) and Thompson<br />

et al. (2000), use real prices; Thompson and Bohl (1999), and Thompson et al. (2002a), also use deflated<br />

prices but report no differences from the results obtained with the nominal ones.<br />

49

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