IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v391y2012i24p6519-6527.html
   My bibliography  Save this article

Testing the neo-classical and the Newtonian theory of production

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S037843711200711X
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/j.physa.2012.07.042?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dosi, Giovanni & Fagiolo, Giorgio & Napoletano, Mauro & Roventini, Andrea, 2013. "Income distribution, credit and fiscal policies in an agent-based Keynesian model," Journal of Economic Dynamics and Control, Elsevier, vol. 37(8), pages 1598-1625.
    2. Marchionatti, Roberto & Sella, Lisa, 2015. "Is Neo-Walrasian Macroeconomics a Dead End?," CESMEP Working Papers 201502, University of Turin.
    3. David Meenagh & Patrick Minford, 2012. "Non Stationary Shocks, Crises and Policy," Rivista italiana degli economisti, Società editrice il Mulino, issue 2, pages 191-224.
    4. Giovanni Dosi & Andrea Roventini, 2019. "More is different ... and complex! the case for agent-based macroeconomics," Journal of Evolutionary Economics, Springer, vol. 29(1), pages 1-37, March.
    5. Giorgio Fagiolo & Andrea Roventini, 2012. "Macroeconomic Policy in DSGE and Agent-Based Models," Revue de l'OFCE, Presses de Sciences-Po, vol. 0(5), pages 67-116.
    6. Jesus Felipe & John S.L. McCombie, 2013. "The Aggregate Production Function and the Measurement of Technical Change," Books, Edward Elgar Publishing, number 1975.
    7. Fioretti, Guido, 2007. "The production function," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 374(2), pages 707-714.
    8. Adam, Felix & Matthes, Jürgen, 2018. "Zur Belastbarkeit von Forderungen nach expansiver Fiskalpolitik an der Nullzinsgrenze: Eine Kritik neukeynesianischer Modelle auf Basis einer Literaturanalyse," IW-Reports 7/2018, Institut der deutschen Wirtschaft (IW) / German Economic Institute.
    9. Danilo Cascaldi-Garcia, 2022. "Forecast Revisions as Instruments for News Shocks," International Finance Discussion Papers 1341, Board of Governors of the Federal Reserve System (U.S.).
    10. Poledna, Sebastian & Miess, Michael Gregor & Hommes, Cars & Rabitsch, Katrin, 2023. "Economic forecasting with an agent-based model," European Economic Review, Elsevier, vol. 151(C).
    11. repec:hal:spmain:info:hdl:2441/eu4vqp9ompqllr09j0h130d0n is not listed on IDEAS
    12. Di Caro, Paolo, 2014. "Regional recessions and recoveries in theory and practice: a resilience-based overview," MPRA Paper 60300, University Library of Munich, Germany.
    13. Francisco Javier Sánchez-Vidal, 2023. "A Cautionary Note on the Use of Accounting Semi-Identity-Based Models," JRFM, MDPI, vol. 16(9), pages 1-14, August.
    14. Luca Guerrieri & Dale Henderson & Jinill Kim, 2014. "Modeling Investment‐Sector Efficiency Shocks: When Does Disaggregation Matter?," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55(3), pages 891-917, August.
    15. Athanasios Geromichalos & Lucas Herrenbrueck, 2022. "The Liquidity-Augmented Model of Macroeconomic Aggregates: A New Monetarist DSGE Approach," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 45, pages 134-167, July.
    16. Mumtaz, Haroon & Theodoridis, Konstantinos, 2017. "Common and country specific economic uncertainty," Journal of International Economics, Elsevier, vol. 105(C), pages 205-216.
    17. Jang, Tae-Seok & Sacht, Stephen, 2017. "Modeling consumer confidence and its role for expectation formation: A horse race," Economics Working Papers 2017-04, Christian-Albrechts-University of Kiel, Department of Economics.
    18. Benigno, Pierpaolo & Paciello, Luigi, 2014. "Monetary policy, doubts and asset prices," Journal of Monetary Economics, Elsevier, vol. 64(C), pages 85-98.
    19. Dennis, Richard, 2010. "When is discretion superior to timeless perspective policymaking?," Journal of Monetary Economics, Elsevier, vol. 57(3), pages 266-277, April.
    20. Christoph Görtz & John D. Tsoukalas, 2013. "Sector Specific News Shocks in Aggregate and Sectoral Fluctuations," CESifo Working Paper Series 4269, CESifo.
    21. Aurelijus Dabusinskas & István Kónya & Stephen Millard, 2015. "How does labour market structure affect the response of economies to shocks?," CERS-IE WORKING PAPERS 1516, Institute of Economics, Centre for Economic and Regional Studies.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:391:y:2012:i:24:p:6519-6527. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.