Previous studies investigating threshold behavior in real-exchange-rate and
price difference data have used rather ad hoc statistical methods and have
focused on univariate threshold models for relative prices. We utilize a g
eneral multivariate threshold cointegration model and develop a systematic
testing and estimation strategy for this model, building on the work of oth
ers. Using Monte Carlo experiments, we systematically compare the use of un
ivariate and multivariate techniques for testing threshold cointegration, e
stimating various threshold models, and testing specifications. We apply ou
r methodology to a large set of U.S. disaggregated CPI data. We find eviden
ce of threshold cointegration mainly for tradable goods. However, the type
of threshold nonlinearity that we find generally does not support the trans
action-cost view of commodity arbitrage.