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Too much of a good thing: endogenous business cycles generated by bounded technological progress

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  • Gomes, Orlando

Abstract

Following Jones and Williams (2000), we assume that R&D is simultaneously subject to positive and to negative external effects (e.g., the non rival nature of technology conflicts with congestion externalities). This observation allows to conceive an economy where two R&D sectors evolve without departing significantly from each other in terms of their productive results (society tends to penalize imbalances in technical progress, making negative external effects to appear associated to a sector when this outstands relatively to the other sector; the second sector, in turn, will be subject to positive externalities that reflect a catching up effect). The proposed framework, when associated to a growth setup, is able to replicate the existence of endogenous fluctuations and, therefore, it intends to be a contribution to the literature on endogenous business cycles.

Suggested Citation

  • Gomes, Orlando, 2006. "Too much of a good thing: endogenous business cycles generated by bounded technological progress," MPRA Paper 2845, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:2845
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Gomes, Orlando, 2006. "Can social interaction contribute to explain business cycles?," MPRA Paper 2848, University Library of Munich, Germany.
    2. Gomes, Orlando, 2015. "Optimal resource allocation in a representative investor economy," Economic Modelling, Elsevier, vol. 50(C), pages 72-84.
    3. Orlando Gomes, 2012. "Endogenous Heterogeneity, the Propagation of Information and Macroeconomic Complexity," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 6(1), pages 38-58, March.

    More about this item

    Keywords

    Technology; Externalities; Endogenous business cycles; Growth models; Nonlinear dynamics and chaos;

    JEL classification:

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

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