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Transitional Dynamics in the Uzawa-Lucas Model of Endogenous Growth

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  • Reiß, Markus
  • Bethmann, Dirk

Abstract

We introduce an easy way of analyzing the transitional dynamics of the Uzawa-Lucas endogenous growth model. We use the value function approach to solve both the social planner?s optimization problem and the representative agent?s optimization problem in the decentralized economy. The complexity of the Hamilton-Jacobi-Bellman equation is significantly reduced to a one-dimensional initial value problem for an ordinary differential equation. This approach allows us to find the optimal controls for the non-concave Hamiltonian in the centralized economy and to detect multiple transition paths in the decentralized economy for a large external effect, which are hidden when using the maximum principle. We simulate the global transitional dynamics towards the balanced growth path. The adjustment of the model?s state variable turns out to accelerate along the transition paths. By the asymmetry of the sectors an until now unknown feature is predicted for the adjustment in the output growth rate. Its relative speed follows a hump-shaped course: Starting from a relative scarcity in physical capital, the growth rate of output decelerates first before it starts rising again.

Suggested Citation

  • Reiß, Markus & Bethmann, Dirk, 2003. "Transitional Dynamics in the Uzawa-Lucas Model of Endogenous Growth," SFB 373 Discussion Papers 2003,17, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    • Handle: RePEc:zbw:sfb373:200317
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    1. repec:hum:wpaper:sfb649dp2005-033 is not listed on IDEAS
    2. Bethmann, Dirk, 2005. "Notes on an endogenous growth model with two capital stocks II: The stochastic case," SFB 649 Discussion Papers 2005-033, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    3. Dirk Bethmann, 2007. "A Closed-form Solution of the Uzawa-Lucas Model of Endogenous Growth," Journal of Economics, Springer, vol. 90(1), pages 87-107, January.

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    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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