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• W2080811932 abstract "We analyze the statistical properties of non-parametrically estimated functions in a functional-coefficient model if the data have a unit root. We show that the estimated function converges at a faster rate than under the stationary case. However, the estimator has a mixed normal distribution so that point-wise confidence intervals are calculated using the usual normal distribution theory rather than a Dickey-Fuller distribution. The results are used to show how one can discriminate between a unit root process and a non-linear functional-coefficient process. We illustrate the procedure using U.S. unemployment and interest rate data." @default.
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• W2080811932 date "2005-07-29" @default.
• W2080811932 modified "2023-09-23" @default.
• W2080811932 title "Functional-coefficient Models under Unit Root Behaviour" @default.
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