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3 EMPIRICAL TESTS FOR SPATIAL <strong>PRICE</strong><br />

ANALYSIS<br />

3.1 Introduction<br />

While chapter 2 provides a general outline of the fundamental theoretical<br />

framework underlying price transmission analysis, this chapter will focus instead<br />

on the econometric techniques which have been used so far in empirical<br />

applications (a review of the economic models of price determination, also<br />

surveyed in Fackler and Goodwin, 2001, is on the other side beyond the<br />

objectives of this work) 15 .<br />

A fundamental important premise is that, as we will see, prices are often the<br />

only data available to examine spatial relationships. Accordingly, increasingly<br />

sophisticated econometric devices have been developed. Barrett (1996, p.825)<br />

notes that “agricultural economists’ toolkits have changed nearly as rapidly and<br />

dramatically as have developing economy markets, but these methodological<br />

refinements have not been accompanied by conceptual advance”. In much of the<br />

existing literature, indeed, the analysis typically relies on price data only, and<br />

focus on the special case of “perfect integration, when two markets are both<br />

integrated and in competitive equilibrium. Yet actual market relationships are<br />

messy” (Barrett and Li 2002, p.294). Clearly, in order to be informative, market<br />

(price) analysis will also have to be accompanied by a thorough study of the<br />

conditions in which trade takes place.<br />

Amongst all empirical models used, time series analysis and in particular<br />

cointegration techniques have been considered as very appealing, as they allow to<br />

disentangle short and long run market dynamics and to remove the exogeneity<br />

hypothesis of one of the prices.<br />

15 Also, a parallel literature has emerged in “pricing to market” (PTM) models. The canonical PTM model<br />

compares fob prices from a single source country to multiple destination markets (Barrett 2001, p.25).

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