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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
; Asymptotic optimality ; Functional estimation ; Laplacian ; Local quadratic regression ; Second derivatives ; Within bias trade …
Persistent link: https://www.econbiz.de/10009661018
In this study we collect information on what economists would suggest for reducing German unemployment. This was done by conducting a detailed survey containing 35 measures at two conferences of different kind. One conference was a small conference at the Humboldt-University in Berlin attended...
Persistent link: https://www.econbiz.de/10009578572
A nonparametric version of the Final Prediction Error (FPE) is proposed for lag selection in nonlinear autoregressive time series. We derive its consistency for both local constant and local linear estimators using a derived optimal bandwidth. Further asymptotic analysis suggests a greater...
Persistent link: https://www.econbiz.de/10009659069
model around a given point in the sample space. Performing the selection only requires repeated least squares estimation of …
Persistent link: https://www.econbiz.de/10009580488
Newly developed and advanced methods for nonlinear time series analysis are in general not available in standard software packages. Moreover, their implementation requires substantial time, computing power as well as programming skills. The recent results on lag and bandwidth selection methods...
Persistent link: https://www.econbiz.de/10009582397
Persistent link: https://www.econbiz.de/10009611560