It is now popular to construct economic models in differential equation form. Perhaps the most serious econometric problem faced when dealing with a differential equation system is the practical difficulty of finding consistent estimates of the important structural parameters. In this paper a simple three-equation Phillips model is considered and consistent estimates of the structural parameters are provided by the minimum-distance procedure. The small-sample distributions of these estimates are investigated by the Monte Carlo method; and the results are then compared with those of the three-stage least-squares estimates found by making a discrete approximation to the system of differential equations.
MLA
Phillips, P. C. B.. “The Structural Estimation of a Stochastic Differential Equation System.” Econometrica, vol. 40, .no 6, Econometric Society, 1972, pp. 1021-1041, https://www.jstor.org/stable/1913853
Chicago
Phillips, P. C. B.. “The Structural Estimation of a Stochastic Differential Equation System.” Econometrica, 40, .no 6, (Econometric Society: 1972), 1021-1041. https://www.jstor.org/stable/1913853
APA
Phillips, P. C. B. (1972). The Structural Estimation of a Stochastic Differential Equation System. Econometrica, 40(6), 1021-1041. https://www.jstor.org/stable/1913853
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