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This paper develops a new approach to testing for the existence of a linear long-run relationship, when the orders of integration of the underlying regressors are not known with certainty. The test is the standard Wald or F - statistic for testing the significance of the lagged levels of the...
Persistent link: https://www.econbiz.de/10005641030
This paper This paper develops a new approach to the problem of testing the existence of a long-run level relationship between a dependent variable and a set of regressors, when it is not known with certainty whether the underlying regressors are trend- or first-difference stationary. The...
Persistent link: https://www.econbiz.de/10005489331
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This paper argues that probability forecasts convey information on the uncertainties that surround macroeconomic forecasts in a manner which is straightforward and which is preferable to other alternatives, including the use of confidence intervals. Probability forecasts relating to UK output...
Persistent link: https://www.econbiz.de/10005113851
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This paper reports the performance evaluations undertaken on a real-time optimisation system for furrow irrigation (AutoFurrow). Trials for the system were undertaken on commercial furrow-irrigated cotton properties near St George and Dalby, Queensland Australia. The system performed robustly in...
Persistent link: https://www.econbiz.de/10010785112
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The contribution of this paper is three-fold. Firslty, a characterisation of the sub-hypotheses comprising the seasonal unit root hypothesis is presented which provides a precise formulation of the alternative hypotheses against which regression-based seasonal unit root tests test. Secondly, it...
Persistent link: https://www.econbiz.de/10005738177
This paper considers the problem of testing for a nonstochastic seasonal unit root in a seasonally observed time-series process against the alternative of a randomized seasonel root with mean unity; that is, the process displays heteroscedastic seasonal integration.
Persistent link: https://www.econbiz.de/10005738244