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Band Spectral Regression with Trending Data Author info | Abstract | Publisher info | Download info | Related research | Statistics Corbae, D. (University of Iowa)
Ouliaris, S.
Phillips, P.C.B.
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registered author(s):
Band spectral regression with deterministic and stochastic trends is considered. It is shown that conventional trend removal by regression in the time domain prior to bank spectral regression leads to biased and inconsistent estimates of the parameters in a model with frequency dependent coefficients. Time domain and frequency domain procedures for dealing with this problem are examined.
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Paper provided by University of Iowa, Department of Economics in its series Working Papers with number
97-09.
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Length: 46 pages
Date of creation: 1997Date of revision:
Handle: RePEc:uia:iowaec:97-09Contact details of provider: Postal: University of Iowa, Department of Economics, Henry B. Tippie College of Business, Iowa City, Iowa 52242 Phone: (319) 335-0829 Fax: (319) 335-1956 Web page: http://tippie.uiowa.edu/economics/ More information through EDIRC
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Keywords: STATISTICS ; ECONOMETRICS ; Other versions of this item:
Find related papers by JEL classification: C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General
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Peter C.B. Phillips & Victor Solo, 1989.
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Phillips, Peter C B & Hansen, Bruce E, 1990.
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Review of Economic Studies ,
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Xiao, Zhijie & Phillips, Peter C. B., 1998.
"Higher-order approximations for frequency domain time series regression ,"
Journal of Econometrics ,
Elsevier, vol. 86(2), pages 297-336, June.
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Richard A. Ashley. & Randall J. Verbrugge, 2006.
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Other versions: Zhijie Xiao & Peter C.B. Phillips, 1998.
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Cowles Foundation Discussion Papers
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Mototsugu Shintani, 2000.
"A Simple Cointegrating Rank Test Without Vector Autoregression ,"
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