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Testing the neo-classical and the Newtonian theory of production

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  • Estola, Matti
  • Dannenberg, Alia

Abstract

We search for regularities observed in the production of goods by studying Finnish data. Despite the heterogeneity of sectoral growth rates in Finland, unit root is observed in annual productions in all main sectors and all manufacturing industries. Thus a linear time trend exists in annual flows of production. This is inconsistent with the static neo-classical theory that assumes firms to produce at their equilibrium flow of production. A different framework is thus needed for modeling the behavior of firms. We test a Newtonian type of model for production against the neo-classical one, and our observation is that the former works better with annual data at every manufacturing industry in Finland.

Suggested Citation

  • Estola, Matti & Dannenberg, Alia, 2012. "Testing the neo-classical and the Newtonian theory of production," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(24), pages 6519-6527.
    • Handle: RePEc:eee:phsmap:v:391:y:2012:i:24:p:6519-6527
    DOI: 10.1016/j.physa.2012.07.042
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    References listed on IDEAS

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    1. George W. Stadler, 1994. "Real Business Cycles," Journal of Economic Literature, American Economic Association, vol. 32(4), pages 1750-1783, December.
    2. Alan Kirman, 2010. "The Economic Crisis is a Crisis for Economic Theory ," CESifo Economic Studies, CESifo Group, vol. 56(4), pages 498-535, December.
    3. Jesus Felipe & Rana Hasan & J. S. L. McCombie, 2008. "Correcting for biases when estimating production functions: an illusion of the laws of algebra?," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 32(3), pages 441-459, May.
    4. Shaikh, Anwar, 1974. "Laws of Production and Laws of Algebra: The Humbug Production Function," The Review of Economics and Statistics, MIT Press, vol. 56(1), pages 115-120, February.
    5. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    6. L. A. N. Amaral & S. V. Buldyrev & S. Havlin & H. Leschhorn & P. Maass & M. A. Salinger & H. E. Stanley & M. H. R. Stanley, 1997. "Scaling behavior in economics: I. Empirical results for company growth," Papers cond-mat/9702082, arXiv.org.
    7. Jesus Felipe, 1998. "Does the aggregate production function imply anything about the laws of production? A comment," Applied Economics Letters, Taylor & Francis Journals, vol. 5(9), pages 543-547.
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    Cited by:

    1. Richters, Oliver, 2021. "Modeling the out-of-equilibrium dynamics of bounded rationality and economic constraints," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 846-866.
    2. Richters, Oliver, 2020. "Between bounded rationality and economic imperatives: essays on out-of-equilibrium dynamics," EconStor Theses, ZBW - Leibniz Information Centre for Economics, number 228534, March.
    3. Matti Estola, 2020. "How Covid-19 Pandemic Changes the Theory of Economics?," Papers 2012.04571, arXiv.org.

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