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The dimensionality of the aliasing problem in models with rational spectral densities Author info | Abstract | Publisher info | Download info | Related research | Statistics Lars Peter Hansen
Thomas J. Sargent
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This paper reconsiders the aliasing problem of identifying the parameters of a continuous time stochastic process from discrete time data. It analyzes the extent to which restricting attention to processes with rational spectral density matrices reduces the number of observationally equivalent models. It focuses on rational specifications of spectral density matrices since rational parameterizations are commonly employed in the analysis of the time series data.
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Paper provided by Federal Reserve Bank of Minneapolis in its series Staff Report with number
72.
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Date of creation: 1981Date of revision:
Handle: RePEc:fip:fedmsr:72Contact details of provider: Postal: 90 Hennepin Avenue, P.O. Box 291, Minneapolis, MN 55480-0291 Phone: (612) 204-5000 Web page: http://minneapolisfed.org/ More information through EDIRC
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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.: Lars Peter Hansen & Thomas J. Sargent, 1980.
"Methods for estimating continuous time Rational Expectations models from discrete time data ,"
Staff Report
59, Federal Reserve Bank of Minneapolis.
[Downloadable!]
Lars Peter Hansen & Thomas J. Sargent, 1983.
"Identification of continuous time rational expectations models from discrete time data ,"
Staff Report
73, Federal Reserve Bank of Minneapolis.
[Downloadable!]
Phillips, P C B, 1974.
"The Estimation of Some Continuous Time Models ,"
Econometrica ,
Econometric Society, vol. 42(5), pages 803-23, September.
[Downloadable!] (restricted)
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references Cited by : (explanations , 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.)
Lawrence J. Christiano & Martin Eichenbaum & David Marshall, 1987.
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NBER Working Papers
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Lawrence J. Christiano & Martin Eichenbaum & David Marshall, 1990.
"The permanent income hypothesis revisited ,"
Staff Report
129, Federal Reserve Bank of Minneapolis.
[Downloadable!] Christiano, Lawrence J & Eichenbaum, Martin & Marshall, David, 1991.
"The Permanent Income Hypothesis Revisited ,"
Econometrica ,
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[Downloadable!] (restricted) Lars Peter Hansen & Jose Alexandre Scheinkman, 1993.
"Back to the Future: Generating Moment Implications for Continuous-Time Markov Processes ,"
NBER Technical Working Papers
0141, National Bureau of Economic Research, Inc.
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Other versions: Eric Ghysels & Pedro Santa-Clara & Rossen Valkanov, 2003.
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1155, Anderson Graduate School of Management, UCLA.
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Eric Ghysels & Pedro Santa-Clara & Rossen Valkanov, 2004.
"There is a Risk-Return Tradeoff After All ,"
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10913, National Bureau of Economic Research, Inc.
[Downloadable!] (restricted) Eric Ghysels & Pedro Santa-Clara & Rossen Valkanov, 2004.
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[Downloadable!] Eric Ghysels & Pedro Santa-Clara & Rossen Valkanov, 2003.
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"The MIDAS Touch: Mixed Data Sampling Regression Models ,"
CIRANO Working Papers
2004s-20, CIRANO.
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Jeremy Berkowitz, 2000.
"On identification of continuous time stochastic processes ,"
Finance and Economics Discussion Series
2000-07, Board of Governors of the Federal Reserve System (U.S.).
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Lars Peter Hansen & Thomas J. Sargent, 1982.
"Formulating and estimating continuous time rational expectations models ,"
Staff Report
75, Federal Reserve Bank of Minneapolis.
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Yacine Ait-Sahalia, 2002.
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Chambers, M.J. & McCrorie, J.R., 2004.
"Frequency domain gaussian estimation of temporally aggregated cointegrated systems ,"
Discussion Paper
40, Tilburg University, Center for Economic Research.
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M. Kessler & A. Rahbek, 2004.
"Identification and Inference for Multivariate Cointegrated and Ergodic Gaussian Diffusions ,"
Statistical Inference for Stochastic Processes ,
Springer, vol. 7(2), pages 137-151, May.
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