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Identifiability in a Mixed-Sample System

Published online by Cambridge University Press:  11 February 2009

Terence D. Agbeyegbe
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Type
Solutions
Information
Econometric Theory , Volume 6 , Issue 1 , March 1990 , pp. 114 - 117
Copyright
Copyright © Cambridge University Press 1990

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References

1.Agbeyegbe, T.D.An exact discrete analog to a closed linear first-order continuous-time system with mixed sample. Econometric Theory 3 (1987): 143–149.CrossRefGoogle Scholar
2.Hammarling, S.J.Latent roots and latent vectors. Adam Hilger, 1970.Google Scholar
3.Hannan, E.J.Multiple time series. New York: Wiley, 1970.CrossRefGoogle Scholar
4.Hannan, E.J.The identification of vector mixed autoregressive-moving average systems. Biometrika 56 (1969): 223–225.Google Scholar
5.Phillips, P.C.B.The problem of identification in finite parameter continuous-time models. Journal of Econometrics 1 (1973): 351–362.CrossRefGoogle Scholar
6a.Phillips, P.C.B. The treatment of flow data in the estimation of continuous time systems. In Bergstrom, A.R. et al. (eds.), Stability and Inflation (1978): 257–274.Google Scholar
6b.Phillips, P.C.B.The treatment of flow data in the estimation of continuous time systems, University of Essex, discussion paper, 1974.Google Scholar