IDEAS home Printed from https://ideas.repec.org/p/trn/utwpas/1305.html
   My bibliography  Save this paper

Production Functions Behaving Badly - Reconsidering Fisher and Shaikh

Author

Listed:
  • Thomas Fredholm
  • Stefano Zambelli

Abstract

We reconsider Anwar Shaikh’s critique of the neoclassical theory of growth and distribution based on its use of aggregate production functions. This is done by reconstructing and extending Franklin M. Fisher’s 1971 computer simulations, which Shaikh used to support his critique. Together with other recent extensions to Shaikh’s seminal work, the results support and strengthen the evidence against the use of neoclassical aggregate production functions.

Suggested Citation

  • Thomas Fredholm & Stefano Zambelli, 2013. "Production Functions Behaving Badly - Reconsidering Fisher and Shaikh," ASSRU Discussion Papers 1305, ASSRU - Algorithmic Social Science Research Unit.
  • Handle: RePEc:trn:utwpas:1305
    as

    Download full text from publisher

    File URL: http://www.assru.economia.unitn.it/files/DP_2_2013_II.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Avi J. Cohen, 2003. "Retrospectives: Whatever Happened to the Cambridge Capital Theory Controversies?," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 199-214, Winter.
    2. Jesus Felipe & J. S. L. McCombie, 2001. "The CES Production Function, the accounting identity, and Occam's razor," Applied Economics, Taylor & Francis Journals, vol. 33(10), pages 1221-1232.
    3. Stefano Zambelli, 2004. "The 40% neoclassical aggregate theory of production," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 28(1), pages 99-120, January.
    4. Jesus Felipe & J. S. L. Mccombie, 2007. "On the Rental Price of Capital and the Profit Rate: The Perils and Pitfalls of Total Factor Productivity Growth," Review of Political Economy, Taylor & Francis Journals, vol. 19(3), pages 317-345.
    5. Jesus Felipe & Franklin M. Fisher, 2003. "Aggregation in Production Functions: What Applied Economists should Know," Metroeconomica, Wiley Blackwell, vol. 54(2‐3), pages 208-262, May.
    6. Fisher, Franklin M, 1971. "Aggregate Production Functions and the Explanation of Wages: A Simulation Experiment," The Review of Economics and Statistics, MIT Press, vol. 53(4), pages 305-325, November.
    7. 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.
    8. Solow, Robert M, 1974. "Law of Production and Laws of Algebra: The Humbug Production Function: A Comment," The Review of Economics and Statistics, MIT Press, vol. 56(1), pages 121-121, February.
    9. Fisher, Franklin M, 1969. "The Existence of Aggregate Production Functions," Econometrica, Econometric Society, vol. 37(4), pages 553-577, October.
    10. Jesus Felipe & Carsten Holz, 2001. "Why do Aggregate Production Functions Work? Fisher's simulations, Shaikh's identity and some new results," International Review of Applied Economics, Taylor & Francis Journals, vol. 15(3), pages 261-285.
    11. Anwar Shaikh, 2005. "Nonlinear Dynamics and Pseudo-Production Functions," Eastern Economic Journal, Eastern Economic Association, vol. 31(3), pages 447-466, Summer.
    Full references (including those not matched with items on IDEAS)

    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. Jesus Felipe & John S.L. McCombie, 2013. "The Aggregate Production Function and the Measurement of Technical Change," Books, Edward Elgar Publishing, number 1975.
    2. Jesus Felipe & Franklin M. Fisher, 2003. "Aggregation in Production Functions: What Applied Economists should Know," Metroeconomica, Wiley Blackwell, vol. 54(2‐3), pages 208-262, May.
    3. Jesus Felipe & F. Gerard Adams, 2005. ""A Theory of Production" The Estimation of the Cobb-Douglas Function: A Retrospective View," Eastern Economic Journal, Eastern Economic Association, vol. 31(3), pages 427-445, Summer.
    4. Paul E. Brockway & Matthew K. Heun & João Santos & John R. Barrett, 2017. "Energy-Extended CES Aggregate Production: Current Aspects of Their Specification and Econometric Estimation," Energies, MDPI, vol. 10(2), pages 1-23, February.
    5. Dennis O. Kundisch & Neeraj Mittal & Barrie R. Nault, 2014. "Research Commentary —Using Income Accounting as the Theoretical Basis for Measuring IT Productivity," Information Systems Research, INFORMS, vol. 25(3), pages 449-467, September.
    6. Fix, Blair, 2015. "Putting Power Back Into Growth Theory," Review of Capital as Power, Capital As Power - Toward a New Cosmology of Capitalism, vol. 1(2), pages 1-37.
    7. Jesus Felipe & John McCombie, 2010. "On Accounting Identities, Simulation Experiments and Aggregate Production Functions: A Cautionary Tale for (Neoclassical) Growth Theorists," Chapters, in: Mark Setterfield (ed.), Handbook of Alternative Theories of Economic Growth, chapter 9, Edward Elgar Publishing.
    8. Jesus Felipe & J. S. L. McCombie, 2002. "A Problem with Some Estimations and Interpretations of the Mark-up in Manufacturing Industry," International Review of Applied Economics, Taylor & Francis Journals, vol. 16(2), pages 187-215.
    9. Yashin, Pete, 2014. "The Golden Rule of Capital Accumulation and Global Recession. Aggregate Production Function and the Cambridge Capital Controversy," MPRA Paper 58570, University Library of Munich, Germany.
    10. G. C. Harcourt, 2015. "On the Cambridge, England, Critique of the Marginal Productivity Theory of Distribution," Review of Radical Political Economics, Union for Radical Political Economics, vol. 47(2), pages 243-255, June.
    11. Jonathan Temple, 2010. "Aggregate production functions, growth economics, and the part-time tyranny of the identity: a reply to Felipe and McCombie," International Review of Applied Economics, Taylor & Francis Journals, vol. 24(6), pages 685-692.
    12. Yashin, Pete, 2016. "Кризис И Рост Неравенства. Оптимальный Путь Экономического Роста [The crisis and increasing inequality. The best equilibrium growth path]," MPRA Paper 73544, University Library of Munich, Germany.
    13. Fabrizio Ferretti, 2008. "Patterns of technical change: a geometrical analysis using the wage-profit rate schedule," International Review of Applied Economics, Taylor & Francis Journals, vol. 22(5), pages 565-583.
    14. Jamee K. Moudud, 2010. "Strategic Competition, Dynamics, and the Role of the State," Books, Edward Elgar Publishing, number 4241.
    15. Aramendia, Emmanuel & Brockway, Paul E. & Pizzol, Massimo & Heun, Matthew K., 2021. "Moving from final to useful stage in energy-economy analysis: A critical assessment," Applied Energy, Elsevier, vol. 283(C).
    16. Jesus Felipe & Carsten Holz, 2001. "Why do Aggregate Production Functions Work? Fisher's simulations, Shaikh's identity and some new results," International Review of Applied Economics, Taylor & Francis Journals, vol. 15(3), pages 261-285.
    17. Jonathan Temple, 2006. "Aggregate Production Functions and Growth Economics," International Review of Applied Economics, Taylor & Francis Journals, vol. 20(3), pages 301-317.
    18. John S.L. McCombie, 2011. "'Cantabrigian Economics' and the aggregate production function," European Journal of Economics and Economic Policies: Intervention, Edward Elgar Publishing, vol. 8(1), pages 165-182.
    19. Zacharias Bragoudakis & Evangelia Kasimati & Christos Pierros & Nikolaos Rodousakis & George Soklis, 2022. "Measuring Productivities for the 38 OECD Member Countries: An Input-Output Modelling Approach," Mathematics, MDPI, vol. 10(13), pages 1-21, July.

    More about this item

    Keywords

    HUMBUG Production Function; Cobb-Douglas Production Function; Aggregation; Computational Techniques.;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence

    Statistics

    Access and download statistics

    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:trn:utwpas:1305. 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: assru.tm@gmail.com (email available below). General contact details of provider: https://edirc.repec.org/data/detreit.html .

    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.