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Annexes<br />

METHODOLOGY DATA USED MAJOR FINDINGS<br />

DYNAMIC REGRESSION MODELS BASED ON A POINT LOCATION MODEL: RAVALLION’S CRITERIA<br />

Thompson et al., 2002b<br />

They develop an aggregate structural<br />

model of the EU wheat economy,<br />

linked to the rest of the world.<br />

Amongst the structural equations<br />

estimated with 3SLS techniques, the<br />

price transmission equation regresses<br />

the EU price on a constant term, the<br />

world price, a time trend, and a<br />

dummy variable accounting for the<br />

MacSharry reform.<br />

126<br />

Annual data are derived by<br />

averaging monthly data (logs<br />

are used). The world wheat<br />

price is in US $ from the<br />

USDA, converted into DM<br />

using IMF exchange rates. The<br />

German producer price is from<br />

CRONOS dataset of<br />

EUROSTAT. Both price series<br />

are deflated by the CPI of their<br />

respective country.<br />

1976-2000.<br />

They find a price<br />

transmission elasticity of<br />

0.18, as the one obtained by<br />

Thompson et al. (2002a).<br />

The MacSharry reform is<br />

found to have caused a<br />

significant downward shift in<br />

prices; the addition of an<br />

interaction term is not<br />

significant.<br />

DYNAMIC REGRESSION MODELS BASED ON A POINT LOCATION MODEL (GC TESTS, IRFS, FEV)<br />

Goodwin and Schroeder, 1991a<br />

They estimate a VAR in levels<br />

between the prices. Their analysis<br />

focuses on Forecast Variance Error<br />

(FEV) decomposition and Impulse-<br />

Response Functions (IRF).<br />

Gordon et al., 1983<br />

They use a modification of Granger<br />

Causality test, the Holmes and Hutton<br />

causality test, based on the rank<br />

ordering of each variable. They test<br />

both bivariate models and trivariate<br />

ones.<br />

Monthly fob prices (in levels)<br />

for six exporting and importing<br />

wheat markets: US, Canada,<br />

Argentine, Australia, Japan and<br />

the EU.<br />

Missing observations are<br />

obtained regressing the series on<br />

a price series of a closely related<br />

market. Special Drawing Rights<br />

are used as a measure for<br />

exchange rates effects. A unique<br />

freight rate is calculated as the<br />

arithmetic average of various<br />

ones.<br />

July 1975 - December 1986<br />

Weekly prices (levels) of lamb:<br />

French lamb, Anglo-Irish lamb<br />

price on the French market, UK<br />

lamb price in the UK.<br />

1983-1986.<br />

According to the FEV, US<br />

and Canada seem to be<br />

dominant markets. A large<br />

proportion of FEVs are<br />

explained by transportation<br />

costs and the US and<br />

Canadian prices.<br />

Adjustments to innovations<br />

in freight rates are quite slow<br />

to occur.<br />

The IRFs show rapid price<br />

adjustments to exchange rate<br />

shocks, to US price shocks,<br />

to Canadian shocks (but not<br />

for the US and Argentina).<br />

Shocks in freight rates take<br />

two or more months to<br />

produce effects, but the<br />

response is large and<br />

persistent.<br />

British and French markets<br />

are integrated in the sense<br />

that price shocks in one<br />

market are eventually and<br />

fully transmitted on price<br />

changes in the other market.<br />

However, long orders of lag<br />

specifications are necessary,<br />

indicating a slow response to<br />

price incentives.

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