Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/10419/20289
Title: Estimating the Smoothing Parameter in the So-Called Hodrick-Prescott Filter
Keywords: C22
ddc:330
Hodrick-Prescott filter
Kalman filtering
Kalman-Bucy
state-space models
random walk
time-varying coefficients
adaptive estimation
Zeitreihenanalyse
Saisonbereinigung
Zustandsraummodell
Schätztheorie
Theorie
Issue Date: 16-Oct-2013
Publisher: 
Description: This note gives a fairly complete statistical description of the Hodrick-Prescott Filter (1997) which has been proposed in the context of my seasonal adjustment method (Schlicht 1981, 1984). A statistics estimator for the smoothing parameter is proposed that is asymptotically equivalent to the maximum-likelihood estimator and has a straightforward intuitive interpretation. The method is illustrated by an application and several simulations.
URI: http://koha.mediu.edu.my:8181/xmlui/handle/10419/20289
Other Identifiers: http://hdl.handle.net/10419/20289
ppn:380944766
Appears in Collections:EconStor

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.