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property is shown not to apply for nonlinear cointegration. The requisite limit theory involves sample covariances of … parameter so as to accommodate kernel regression. The theory is an extension of Wang and Phillips (2008) and is useful for the … correct specification but the variance of the limit distribution is larger. Some applications of the limit theory to non …
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It is well-known that maximum likelihood (ML) estimation of the autoregressive parameter of a dynamic panel data model with fixed effects is inconsistent under fixed time series sample size (T) and large cross section sample size (N) asymptotics. The estimation bias is particularly relevant in...
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Reduced rank regression (RRR) models with time varying heterogeneity are considered. Standard information criteria for selecting cointegrating rank are shown to be weakly consistent in semiparametric RRR models in which the errors have general nonparametric short memory components and shifting...
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