Abstract
The relationship between Nerlovian partial adjustment models and error correction models is explored. Unit root tests are employed to test stationarity of price, area and stock data of crops in the Canadian province of Saskatchewan. The data are found to be consistent with unit root non-stationarity. Evidence in favour of cointegrating relationships among area price and stock data is found. However, evidence in favour of the error correction form of the Nerlovian partial adjustment model is weak, indicating that more investigation of richer theoretical and empirical models of the short run dynamics of area response in Saskatchewan is needed.
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