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Optimal Trajectories of the Innovation Process and Their Matching with Econometric Data

Author

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  • S.A. Reshmin

    (Institute for Problems in Mechanics)

  • A.M. Tarasyev

    (International Institute for Applied Systems Analysis
    Institute of Mathematics and Mechanics)

  • C. Watanabe

    (Tokyo Institute of Technology)

Abstract

A dynamical model of optimal economic growth is used for the comparison of catalogs of real econometric data and synthetic growth scenarios. The model is calibrated on a database of the Tokyo Institute of Technology. Special attention is paid to the aggregated data of the Japanese manufacturing industry in the period 1960–92. A description of an algorithm modeling optimal trends in the technological dynamics is given.

Suggested Citation

  • S.A. Reshmin & A.M. Tarasyev & C. Watanabe, 2002. "Optimal Trajectories of the Innovation Process and Their Matching with Econometric Data," Journal of Optimization Theory and Applications, Springer, vol. 112(3), pages 639-655, March.
    • Handle: RePEc:spr:joptap:v:112:y:2002:i:3:d:10.1023_a:1017924301798
    DOI: 10.1023/A:1017924301798
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    References listed on IDEAS

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    1. G. Feichtinger & F. Wirl, 2000. "Instabilities in Concave, Dynamic, Economic Optimization," Journal of Optimization Theory and Applications, Springer, vol. 107(2), pages 275-286, November.
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    Cited by:

    1. B. K. Ane & A. M. Tarasyev & C. Watanabe, 2007. "Impact of Technology Assimilation on Investment Policy: Dynamic Optimization and Econometric Identification," Journal of Optimization Theory and Applications, Springer, vol. 134(2), pages 321-338, August.
    2. B. K. Ane & A. M. Tarasyev & C. Watanabe, 2007. "Construction of Nonlinear Stabilizer for Trajectories of Economic Growth," Journal of Optimization Theory and Applications, Springer, vol. 134(2), pages 303-320, August.

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