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We introduce a new method for the estimation of discount functions, yield curves and forward curves from government … although we do show how to impose various restrictions in the estimation. Our method is based on Kernel smoothing and is … our estimation procedure is iterative, rather like the backfitting method of estimating non-parametric models. We …
Persistent link: https://www.econbiz.de/10009580489
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estimation …
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explorative study aims to shed some light into the black-box of the matching technology by applying nonparametric estimation …
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The paper is concerned with the estimation of the long memory parameter in a conditionally heteroskedastic model … models ; semiparametric estimation ; modified R/S ; KPSS and V/S statistics ; periodogram …
Persistent link: https://www.econbiz.de/10009581091
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
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paper extends this approach to the simultaneous estimation of both the function and its derivatives by combining the … integration procedure with a local polynomial approach. Finally the merits of this procedure with respect to the estimation of a … ; Additive Models ; Derivative Estimation ; Production Function …
Persistent link: https://www.econbiz.de/10009657128
macromodel. -- Factor Analysis ; Time Series ; Kernel estimation ; Nonparametric …
Persistent link: https://www.econbiz.de/10009578000