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Efficiency of Sliding Plans in a Linear Model with Time-Dependent Technology

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  • Mikhail Kaganovich

Abstract

A procedure of sliding planning is considered in a simple dynamic model of Leontief type. At every step of this procedure, a long-term plan is generated starting from a current state of the economy for a future time interval of a fixed finite length (a "forecast horizon"), but only a decision concerning the first year is implemented. Proceeding from the attained state, the next step is carried out. Matrices of input-output coefficients are assumed to vary within uniform bounds. Provided that the forecast horizon is sufficiently long, the resulting sliding planning path is proved to be in a certain sense approximately optimal.

Suggested Citation

  • Mikhail Kaganovich, 1985. "Efficiency of Sliding Plans in a Linear Model with Time-Dependent Technology," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 52(4), pages 691-702.
    • Handle: RePEc:oup:restud:v:52:y:1985:i:4:p:691-702.
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    File URL: http://hdl.handle.net/10.2307/2297740
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    Cited by:

    1. Grüne, Lars & Semmler, Willi & Stieler, Marleen, 2015. "Using nonlinear model predictive control for dynamic decision problems in economics," Journal of Economic Dynamics and Control, Elsevier, vol. 60(C), pages 112-133.
    2. Kirill Borissov & Mikhail Pakhnin & Ronald Wendner, 2020. "Naive Agents with Quasi-hyperbolic Discounting and Perfect Foresight," EUSP Department of Economics Working Paper Series 2020/03, European University at St. Petersburg, Department of Economics.
    3. Quemin, Simon & Trotignon, Raphaël, 2021. "Emissions trading with rolling horizons," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    4. Borissov, Kirill, 2013. "Growth and distribution in a model with endogenous time preferences and borrowing constraints," Mathematical Social Sciences, Elsevier, vol. 66(2), pages 117-128.
    5. Spiro, Daniel, 2014. "Resource prices and planning horizons," Journal of Economic Dynamics and Control, Elsevier, vol. 48(C), pages 159-175.
    6. Simon Quemin & Raphael Trotignon, 2018. "Competitive Permit Storage and Market Design: An Application to the EU-ETS," Working Papers 2018.19, FAERE - French Association of Environmental and Resource Economists.
    7. do Val, Joao B. R. & Basar, Tamer, 1999. "Receding horizon control of jump linear systems and a macroeconomic policy problem," Journal of Economic Dynamics and Control, Elsevier, vol. 23(8), pages 1099-1131, August.
    8. Findley, T. Scott & Caliendo, Frank N., 2014. "Interacting mechanisms of time inconsistency," Journal of Economic Psychology, Elsevier, vol. 41(C), pages 68-76.
    9. Borissov, Kirill & Pakhnin, Mikhail & Wendner, Ronald, 2021. "The Neoclassical Growth Model with Time-Inconsistent Decision Making and Perfect Foresight," MPRA Paper 108336, University Library of Munich, Germany.
    10. Kaganovich, Michael, 1996. "Rolling planning: Optimality and decentralization," Journal of Economic Behavior & Organization, Elsevier, vol. 29(1), pages 173-185, January.
    11. Borissov, K. & Pakhnin, M., 2018. "A Division of Society into the Rich and the Poor: Some Approaches to Modeling," Journal of the New Economic Association, New Economic Association, vol. 40(4), pages 32-59.
    12. Hori, Hajime, 1987. "A turnpike theorem for rolling plans," Journal of Mathematical Economics, Elsevier, vol. 16(3), pages 223-235, May.
    13. Kirill Borissov & Mikhail Pakhnin & Ronald Wendner, 2022. "General Equilibrium and Dynamic Inconsistency," CESifo Working Paper Series 9846, CESifo.

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