THE EXACT DISCRETE MODEL OF A THIRD-ORDER SYSTEM OF LINEAR STOCHASTIC DIFFERENTIAL EQUATIONS WITH OBSERVABLE STOCHASTIC TRENDS
Keyword(s):
Time Lag
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The objective of this paper is to develop closed-form formulae for the exact discretization of a third-order system of stochastic differential equations, with fixed initial conditions, driven by observable stochastic trends and white noise innovations. The model provides a realistic alternative to first- and second-order differential equation specifications of the time lag distribution, forming the basis of a testing and estimation procedure. The exact discrete models, derived under two sampling schemes with either stock or flow variables, are put into a system error correction form that preserves the information of the underlying continuous time model regarding the order of integration and the dimension of cointegration space.
2019 ◽
Vol 25
(2)
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pp. 97-120
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1984 ◽
Vol 102
(2)
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pp. 363-364
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2001 ◽
Vol 01
(01)
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pp. 1-21
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2001 ◽
Vol 01
(01)
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pp. 23-43
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