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Imperfect Demand Expectations and Endogenous Business Cycles

Author

Listed:
  • Orlando Gomes

    (Escola Superior de Comunicação Social)

Abstract
Optimal growth models aim at explaining long run trends of growth under the strong assumption of full efficiency in the allocation of resources. As a result, the steady state time paths of the main economic aggregates reflect constant, exogenous or endogenous, growth. To introduce business cycles in this optimality structure one has to consider some source of inefficiency. By assuming that firms adopt a simple non optimal rule to predict future demand, we let investment decisions to depart from the ones that would guarantee the total efficiency outcome. The new investment hypothesis is considered under three growth setups (the simple one equation Solow model of capital accumulation, the Ramsey model with consumption utility maximization, and a two sector endogenous growth setup); for each one of the models, we find that endogenous business cycles of various orders (regular and irregular) are observable

Suggested Citation

  • Orlando Gomes, 2007. "Imperfect Demand Expectations and Endogenous Business Cycles," Money Macro and Finance (MMF) Research Group Conference 2006 127, Money Macro and Finance Research Group.
    • Handle: RePEc:mmf:mmfc06:127
    as

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    References listed on IDEAS

    as
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    More about this item

    Keywords

    Endogenous business cycles; Nonlinear dynamics; Growth models; Bifurcation analysis.;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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