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Discrete Models for Estimating GeneralLinear Continuous Time Systems

Published online by Cambridge University Press:  11 February 2009

Marcus J. Chambers
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Abstract

This paper derives discrete models for estimatingsystems of both first- and second-order lineardifferential equations in which derivatives of theexogenous variables appear in addition to theirlevels.

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Type
Brief Report
Information
Econometric Theory , Volume 7 , Issue 4 , December 1991 , pp. 531 - 542
Copyright
Copyright © Cambridge University Press 1991

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References

REFERENCES

Agbeyegbe, T.D. An exact discrete analogue to a closed linear first-order continuous-time system with mixed sample. Econometric Theory 3 (1987): 143–149.10.1017/S0266466600004163CrossRefGoogle Scholar
2.Agbeyegbe, T.D. An exact discrete analog to an open linear nonstationary first-order continuous-time system with mixed sample. Journal of Econometrics 39 (1988): 237–250.10.1016/0304-4076(88)90057-7CrossRefGoogle Scholar
3.Bailey, R.W., Hall, V.B. & Phillips, P.C.B.. A model of output, employment, capital formation and inflation. In Gandolfo, G. and Marzano, F..), Keynesian Theory, Planning Models and Quantitative Economics Giuffre-Editore, 1987.Google Scholar
4.Bergstrom, A.R. The estimation of open higher-order continuous time dynamic models with mixed stock and flow data. Econometric Theory 2 (1986): 350–373.10.1017/S026646660001166XCrossRefGoogle Scholar
5.Chambers, M.J. Estimation of a continuous time dynamic demand system. Journal of Applied Econometrics 6 (1991), forthcoming.Google Scholar
6. Harvey, A.C. & Stock, J.H.. The estimation of higher-order continuous time autoregressive models. Econometric Theory 1 (1985): 97–117.10.1017/S0266466600011026CrossRefGoogle Scholar
7. Nowman, K.B. Open higher-order continuous-time dynamic model with mixed stock and flow data and derivatives of exogenous variables. Econometric Theory 7 (1991): forthcoming.10.1017/S0266466600004540CrossRefGoogle Scholar
8.Phillips, P.C.B. The estimation of linear stochastic differential equations with exogenous variables. In Bergstrom, A.R. (ed.), Statistical Inference in Continuous Time Economic Models, Chapter 7 and pp. 135–173. Amsterdam: North Holland, 1976.Google Scholar
9.Phillips, P.C.B. Error correction and long run equilibrium in continuous time. Econometrica 59 (1991): forthcoming.10.2307/2938169CrossRefGoogle Scholar
10. Zadrozny, P. Gaussian likelihood of continuous time ARMAX models when data are stocks and flows at different frequencies. Econometric Theory 4 (1988): 108–124.10.1017/S0266466600011890CrossRefGoogle Scholar