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Persistent link: https://www.econbiz.de/10009789500
This paper considers a nonlinear time series model associated with both nonstationarity and endogeneity. The proposed model is then estimated by a nonparametric series method. An asymptotic theory is established in both point-wise and the space metric sense for the estimator. The Monte Carlo...
Persistent link: https://www.econbiz.de/10013014831
This paper discusses nonparametric series estimation of integrable cointegration models using Hermite functions. We …
Persistent link: https://www.econbiz.de/10013078209
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This paper considers a general model specification between a parametric co-integrating model and a nonparametric co-integrating model in a multivariate regression model, which involves a univariate integrated time series regressor and a vector of stationary time series regressors. A new and...
Persistent link: https://www.econbiz.de/10013101176
-consistency apply in nonparametric kernel estimation of time-varying coefficient cointegration models. The higher rate of convergence (n …This paper studies nonlinear cointegration models in which the structural coefficients may evolve smoothly over time … nonparametric kernel methods. It is shown that the usual asymptotic methods of kernel estimation completely break down in this …
Persistent link: https://www.econbiz.de/10013075944
-consistency apply in nonparametric kernel estimation of time-varying coefficient cointegration models. The higher rate of convergence …This paper studies nonlinear cointegration models in which the structural coefficients may evolve smoothly over time … nonparametric kernel methods. It is shown that the usual asymptotic methods of kernel estimation completely break down in this …
Persistent link: https://www.econbiz.de/10013075992