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In this paper we propose using a nonparametric model specification test for parametric time series with long-range dependence (LRD). In order to establish asymptotic distributions of the proposed test statistic, we develop new central limit theorems for certain weighted quadratic forms of...
Persistent link: https://www.econbiz.de/10014191151
We provide a new asymptotic theory for local time density estimation for a general class of functionals of integrated time series. This result provides a convenient basis for developing an asymptotic theory for nonparametric cointegrating regression and autoregression. Our treatment directly...
Persistent link: https://www.econbiz.de/10012778972
We consider nonparametric estimation of the regression function g(*) in a nonlinear regression model Y<sub>t</sub> = g(X<sub>t</sub>) o(X<sub>t</sub>)e<sub>t</sub>, where the regressor X<sub>t</sub> is a nonstationary unit root process and the error e<sub>t</sub> is s sequence of independent and identically distributed (i.i.d.) random variables. With proper...
Persistent link: https://www.econbiz.de/10013018853
A recursive test procedure is suggested that provides a mechanism for testing explosive behavior, date-stamping the origination and collapse of economic exuberance, and providing valid confidence intervals for explosive growth rates. The method involves the recursive implementation of a...
Persistent link: https://www.econbiz.de/10009458155
Two distinguished New Zealanders pioneered some of the foundations of modern econometrics. Alec Aitken, one of the most famous and well-documented mental arithmeticians of all time, contributed the matrix formulation and projection geometry of linear regression, generalized least squares (GLS)...
Persistent link: https://www.econbiz.de/10009458156
Time series models are often fitted to the data without preliminary checks for stability of the mean and variance, conditions that may not hold in much economic and financial data, particularly over long periods. Ignoring such shifts may result in fitting models with spurious dynamics that lead...
Persistent link: https://www.econbiz.de/10011460772
A new family of kernels is suggested for use in heteroskedasticity and autocorrelation consistent (HAC) and long run variance (LRV) estimation and robust regression testing. The kernels are constructed by taking powers of the Bartlett kernel and are intended to be used with no truncation (or...
Persistent link: https://www.econbiz.de/10005368997