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Continuous time extraction of a nonstationary signal with illustrations in continuous low-pass and band-pass filtering Author info | Abstract | Publisher info | Download info | Related research | Statistics Tucker S. McElroy
Thomas M. Trimbur
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This paper sets out the theoretical foundations for continuous-time signal extraction in econometrics. Continuous-time modeling gives an effective strategy for treating stock and flow data, irregularly spaced data, and changing frequency of observation. We rigorously derive the optimal continuous-lag filter when the signal component is nonstationary, and provide several illustrations, including a new class of continuous-lag Butterworth filters for trend and cycle estimation.
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Paper provided by Board of Governors of the Federal Reserve System (U.S.) in its series Finance and Economics Discussion Series with number
2007-68.
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Date of creation: 2007Date of revision:
Handle: RePEc:fip:fedgfe:2007-68Contact details of provider: Postal: 20th Street and Constitution Avenue, NW, Washington, DC 20551 Web page: http://www.federalreserve.gov/ More information through EDIRC
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Keywords: Time-series analysis ; Econometrics ; This paper has been announced in the following NEP Reports :
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.: Ravn, Morten O. & Uhlig, Harald, 2001.
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