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Annexes<br />

METHODOLOGY DATA USED MAJOR FINDINGS<br />

SWITCHING REGIME-THRESHOLD MODELS<br />

Barrett and Li, 2002<br />

They introduce a new methodology<br />

based on maximum likelihood<br />

estimation of a mixture distribution<br />

model incorporating price, transfer<br />

costs, and trade flow data. Four<br />

different regimes are developed<br />

according to the presence or absence<br />

of market efficiency and integration.<br />

Baulch, 1997<br />

He develops the Parity Bound Model<br />

(PBM), an alternative methodology in<br />

which information on transfer costs is<br />

used in addition to prices. According<br />

to the size of price spreads and of<br />

transfer costs, three regimes are<br />

derived (within, at and outside the<br />

arbitrage band).<br />

Goodwin and Piggott, 2001<br />

They evaluate corn and soybean<br />

markets in North Carolina; they use<br />

threshold autoregression and<br />

cointegration models to account for a<br />

neutral band representing transaction<br />

costs. Regime switching is triggered<br />

when deviations in prices exceed the<br />

“neutral band” represented by<br />

transport costs. The prices are<br />

analyzed in pairs.<br />

Negassa and Myers, 2007<br />

The standard PBM model is extended<br />

to allow for dynamic shifts in regime<br />

probabilities (the probability of being<br />

in a particular trading regime is not<br />

time invariant) in response to changes<br />

in marketing policy. This allows to see<br />

whether changes in policies have<br />

increased or not spatial efficiency.<br />

136<br />

Monthly data on prices, trade<br />

flows, and estimated intermarket<br />

transaction costs for<br />

soybean meal over the years<br />

1990-1996 for Canada, Japan,<br />

Taiwan and the United States.<br />

Monthly wholesale price (in<br />

levels) for Philippine rice<br />

coming from eight different<br />

markets.<br />

January 1980-June 1993.<br />

Daily corn and soybean prices<br />

in 4 North Carolina terminal<br />

markets. (in logs).<br />

2 January 1992-4 March 1999.<br />

Weekly wholesale prices (in<br />

levels) converted into monthly<br />

prices for maize and wheat in<br />

eight Ethiopian markets.<br />

August 1996-August 2002.<br />

The methodology proposed,<br />

which is particularly useful<br />

when trade is discontinuous<br />

or bilateral and transfer costs<br />

are variable, is an attempt to<br />

bridge price and quantity<br />

based approaches to the<br />

study of price transmission,<br />

which allows to distinguish<br />

between market integration<br />

and efficiency. Competitive<br />

tradability and equilibrium<br />

conditions prevail in the<br />

market examined.<br />

Monte Carlo experiments<br />

show that the PBM is<br />

statistically reliable. An<br />

application to the Philippine<br />

rice markets demonstrates<br />

that the PBM detects<br />

efficient arbitrage when<br />

other tests do not.<br />

Results confirm the presence<br />

of thresholds and indicate<br />

support for market<br />

integration; threshold models<br />

suggest faster adjustments to<br />

disequilibrium than when<br />

threshold are ignored.<br />

Thresholds turn out to be<br />

bigger when there is a bigger<br />

distance between markets.<br />

The results highlight the<br />

importance of allowing for<br />

adjustment to policy<br />

changes.

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