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Using and producing ideas in computable endogenous growth

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  • K. Vela Velupillai

Abstract

It is shown that Paul Romer�s suggestion to model algorithmically the use and production of ideas in an endogenous growth model is formally feasible. Such a modelling exercise imparts a natural evolutionary flavour to growth models. However, it is also shown that the policy implications are formally indeterminate in a precise and effective sense.

Suggested Citation

  • K. Vela Velupillai, 2005. "Using and producing ideas in computable endogenous growth," Department of Economics Working Papers 0516, Department of Economics, University of Trento, Italia.
    • Handle: RePEc:trn:utwpde:0516
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    References listed on IDEAS

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    1. repec:bla:ecorec:v:78:y:2002:i:243:p:375-80 is not listed on IDEAS
    2. Romer, Paul, 1993. "Idea gaps and object gaps in economic development," Journal of Monetary Economics, Elsevier, vol. 32(3), pages 543-573, December.
    3. K. J. Arrow, 1971. "The Economic Implications of Learning by Doing," Palgrave Macmillan Books, in: F. H. Hahn (ed.), Readings in the Theory of Growth, chapter 11, pages 131-149, Palgrave Macmillan.
    4. T. W. Swan, 1956. "ECONOMIC GROWTH and CAPITAL ACCUMULATION," The Economic Record, The Economic Society of Australia, vol. 32(2), pages 334-361, November.
    5. Vela Velupillai, K., 2002. "Effectivity and constructivity in economic theory," Journal of Economic Behavior & Organization, Elsevier, vol. 49(3), pages 307-325, November.
    6. Kumaraswamy Velupillai, 2003. "Essays on computable economics, methodology and the philosophy of science," Department of Economics Working Papers 0308, Department of Economics, University of Trento, Italia.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    endogenous growth; algorithmic ideas; computable growth;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • E10 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - General
    • O41 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - One, Two, and Multisector Growth Models

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