This paper derives the formulae for an exact discrete time representation c
orresponding to a system of higher-order stochastic differential equations.
The formulae are applicable in stationary, non-stationary and explosive sy
stems and for data observed as a mixture of both stock and flow variables.
Expressions are also provided for an explicit moving average representation
of the disturbance vector in the discrete time model, which can be used, u
nder the assumption of white noise continuous time disturbances, to derive
formulae for the computation of the exact Gaussian likelihood function, (C)
1999 Elsevier Science B.V. All rights reserved.