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Econometric Estimation of a Continuous Time Macroeconomic Model of the United Kingdom with Segmented Trends

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  • Nowman, K B

Abstract

The exact Gaussian estimation of complicated higher order continuous time econometric models from discrete stock and flow data has only recently been feasible given recent advances in computing processing power. In this paper we estimate a second order continuous time macroeconomic model of the United Kingdom developed by Bergstrom, Nowman and Wymer (1992) recently. The model is extended to include segmented time trends and estimated using recently developed exact Gaussian estimation methods for continuous time econometric models. Citation Copyright 1998 by Kluwer Academic Publishers.

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  • Nowman, K B, 1998. "Econometric Estimation of a Continuous Time Macroeconomic Model of the United Kingdom with Segmented Trends," Computational Economics, Springer;Society for Computational Economics, vol. 12(3), pages 243-254, December.
    • Handle: RePEc:kap:compec:v:12:y:1998:i:3:p:243-54
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    Cited by:

    1. Jewitt, Giles & Roderick McCrorie, J., 2005. "Computing estimates of continuous time macroeconometric models on the basis of discrete data," Computational Statistics & Data Analysis, Elsevier, vol. 49(2), pages 397-416, April.
    2. Byers, S. L. & Nowman, K. B., 1998. "Forecasting U.K. and U.S. interest rates using continuous time term structure models," International Review of Financial Analysis, Elsevier, vol. 7(3), pages 191-206.
    3. Nuno Sobreira & Luis C. Nunes, 2016. "Tests for Multiple Breaks in the Trend with Stationary or Integrated Shocks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 78(3), pages 394-411, June.
    4. Chen, Baoline & Zadrozny, Peter A., 2001. "Analytic derivatives of the matrix exponential for estimation of linear continuous-time models1," Journal of Economic Dynamics and Control, Elsevier, vol. 25(12), pages 1867-1879, December.

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