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The Likelihood of a Continuous-time Vector Autoregressive Model

  • J. Roderick McCrorie

    (Queen Mary, University of London)

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    This paper provides a method that weakens conditions under which the exact likelihood of a continuous-time vector autoregressive model can be derived. In particular, the method does not require the restrictions extant methods impose on discrete data that limit the applicability of continuous-time methods to real economic time series. The method applies generally to higher-order continuous-time systems involving mixed stock and flow data.

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    File URL: http://www.econ.qmul.ac.uk/papers/doc/wp419.pdf
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    Paper provided by Queen Mary University of London, School of Economics and Finance in its series Working Papers with number 419.

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    Date of creation: Oct 2000
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    Handle: RePEc:qmw:qmwecw:wp419
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    1. Zadrozny, Peter, 1988. "Gaussian Likelihood of Continuous-Time ARMAX Models When Data Are Stocks and Flows at Different Frequencies," Econometric Theory, Cambridge University Press, vol. 4(01), pages 108-124, April.
    2. Chambers, Marcus J., 1999. "Discrete time representation of stationary and non-stationary continuous time systems," Journal of Economic Dynamics and Control, Elsevier, vol. 23(4), pages 619-639, February.
    3. Bergstrom, A.R., 1984. "Continuous time stochastic models and issues of aggregation over time," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 20, pages 1145-1212 Elsevier.
    4. A.R. Bergstrom, . "Gaussian Estimation of Mixed Order Continuous Time Dynamic Models with Unobservable Stochastic Trends from Mixed Stock and Flow Data," Economics Discussion Papers 448, University of Essex, Department of Economics.
    5. Bergstrom, A. R., 1986. "The Estimation of Open Higher-Order Continuous Time Dynamic Models with Mixed Stock and Flow Data," Econometric Theory, Cambridge University Press, vol. 2(03), pages 350-373, December.
    6. Bergstrom, Albert Rex, 1983. "Gaussian Estimation of Structural Parameters in Higher Order Continuous Time Dynamic Models," Econometrica, Econometric Society, vol. 51(1), pages 117-52, January.
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