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We propose marginal integration estimation and testing methods for the coefficients of varying coefficient multivariate … regression model. Asymptotic distribution theory is developed for the estimation method which enjoys the same rate of convergence … as univariate function estimation. For the test statistic, asymptotic normal theory is established. These theoretical …
Persistent link: https://www.econbiz.de/10009627286
Alternative modeling strategies for specifying subset VAR models are considered. It is shown that under certain conditions a testing procedure based on t-ratios is equivalent to sequentially eliminating lags that lead to the largest improvement in a prespecified model selection criterion. A...
Persistent link: https://www.econbiz.de/10009583885
dealing with more than one lag. When the mean has an additive structure, however, better estimation methods are available … estimation of the conditional mean, it is equally if not more important to measure the future risk of the series along with the … interpretation of each lagged value's influence on such a function. In this paper we consider the joint estimation of both the …
Persistent link: https://www.econbiz.de/10009578559
Estimation …
Persistent link: https://www.econbiz.de/10009574875
A local linear estimator of generalized impulse response (GIR) functions for nonlinear conditional heteroskedastic autoregressive processes is derived and shown to be asymptotically normal. A plug-in bandwidth is obtained that minimizes the asymptotical mean squared error of the GIR estimator. A...
Persistent link: https://www.econbiz.de/10009612034
. We compare these results to results from a standard SVECM and find that, using the Subset VECM reduces estimation …
Persistent link: https://www.econbiz.de/10009613616