IDEAS home Printed from https://ideas.repec.org/p/jen/jenasw/2003-05.html
   My bibliography  Save this paper

On the Dynamics of the U.S. Manufacturing Productivity Distribution

Author

Listed:
  • Jens J. Krueger

    (University of Jena, Faculty of Economics)

Abstract

In this paper a model of productivity dynamics of manufacturing industries is developed with key features being the absence of optimal decisions and equilibrium coordination, heterogeneity of industries with respect to their innovative ability and cumulativeness of innovations together with the working of spillover effects. From that model the law of motion of the productivity distribution across the industries is derived and nonparametrically estimated using data for U.S. manufacturing industries over the period 1958-96. The conclusion of a substantial role of persistence in the productivity development is sharpened by the application of unit root and stationarity tests for panel data.

Suggested Citation

  • Jens J. Krueger, 2003. "On the Dynamics of the U.S. Manufacturing Productivity Distribution," Jenaer Schriften zur Wirtschaftswissenschaft (Expired!) 05/2003, Friedrich-Schiller-Universität Jena, Wirtschaftswissenschaftliche Fakultät.
    • Handle: RePEc:jen:jenasw:2003-05
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    References listed on IDEAS

    as
    1. Brock, W A, 1999. "Scaling in Economics: A Reader's Guide," Industrial and Corporate Change, Oxford University Press and the Associazione ICC, vol. 8(3), pages 409-446, September.
    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. Alex Coad & Max Planck, 2012. "Firms as Bundles of Discrete Resources – Towards an Explanation of the Exponential Distribution of Firm Growth Rates," Eastern Economic Journal, Palgrave Macmillan;Eastern Economic Association, vol. 38(2), pages 189-209.
    2. Raaj Sah & Rajeev Kohli, 2004. "Market Shares: Some Power Law Results and Observations," Working Papers 0401, Harris School of Public Policy Studies, University of Chicago.
    3. repec:hal:wpspec:info:hdl:2441/9848 is not listed on IDEAS
    4. T. Di Matteo & T. Aste & M. M. Dacorogna, 2003. "Using the Scaling Analysis to Characterize Financial Markets," Papers cond-mat/0302434, arXiv.org.
    5. P. Windrum, 2007. "Neo-Schumpeterian Simulation Models," Chapters, in: Horst Hanusch & Andreas Pyka (ed.), Elgar Companion to Neo-Schumpeterian Economics, chapter 26, Edward Elgar Publishing.
    6. Flavio Calvino & Daniele Giachini & Mattia Guerini, 2022. "The age distribution of business firms," Journal of Evolutionary Economics, Springer, vol. 32(1), pages 205-245, January.
    7. repec:spo:wpecon:info:hdl:2441/9848 is not listed on IDEAS
    8. Giulio Bottazzi, 2007. "A comment on the relationship between firms' size and growth rate," LEM Papers Series 2007/11, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    9. Deborah Strumsky & Jose Lobo & Charlotta Mellander, 2021. "As different as night and day: Scaling analysis of Swedish urban areas and regional labor markets," Environment and Planning B, , vol. 48(2), pages 231-247, February.
    10. Giorgio Fagiolo & Paul Windrum & Alessio Moneta, 2006. "Empirical Validation of Agent Based Models: A Critical Survey," LEM Papers Series 2006/14, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    11. Giorgio Fagiolo & Mauro Napoletano & Andrea Roventini, 2008. "Are output growth-rate distributions fat-tailed? some evidence from OECD countries," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(5), pages 639-669.
    12. Giulio Bottazzi, 2008. "On the relationship between firms' size and growth rate," Economics Bulletin, AccessEcon, vol. 3(8), pages 1-7.
    13. Zhang, Jiang & Yu, Tongkui, 2010. "Allometric scaling of countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(21), pages 4887-4896.
    14. Steven N. Durlauf, 2005. "Complexity and Empirical Economics," Economic Journal, Royal Economic Society, vol. 115(504), pages 225-243, June.
    15. Francesca Lotti & Enrico Santarelli, 2004. "Industry Dynamics and the Distribution of Firm Sizes: A Nonparametric Approach," Southern Economic Journal, John Wiley & Sons, vol. 70(3), pages 443-466, January.
    16. Riccaboni, Massimo & Pammolli, Fabio, 2002. "On firm growth in networks," Research Policy, Elsevier, vol. 31(8-9), pages 1405-1416, December.
    17. Giorgio Fagiolo & Andrea Roventini, 2017. "Macroeconomic Policy in DSGE and Agent-Based Models Redux: New Developments and Challenges Ahead," Journal of Artificial Societies and Social Simulation, Journal of Artificial Societies and Social Simulation, vol. 20(1), pages 1-1.
    18. J. Lobo & D. Strumsky & J. Rothwell, 2013. "Scaling of patenting with urban population size: evidence from global metropolitan areas," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(3), pages 819-828, September.
    19. Yousefi, Shahriar & Weinreich, Ilona & Reinarz, Dominik, 2005. "Wavelet-based prediction of oil prices," Chaos, Solitons & Fractals, Elsevier, vol. 25(2), pages 265-275.
    20. Hu, Lunchao & Tian, Kailan & Wang, Xin & Zhang, Jiang, 2012. "The “S” curve relationship between export diversity and economic size of countries," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(3), pages 731-739.
    21. Lengnick, Matthias & Wohltmann, Hans-Werner, 2016. "Optimal monetary policy in a new Keynesian model with animal spirits and financial markets," Journal of Economic Dynamics and Control, Elsevier, vol. 64(C), pages 148-165.
    22. Gatti, Domenico Delli & Guilmi, Corrado Di & Gaffeo, Edoardo & Giulioni, Gianfranco & Gallegati, Mauro & Palestrini, Antonio, 2005. "A new approach to business fluctuations: heterogeneous interacting agents, scaling laws and financial fragility," Journal of Economic Behavior & Organization, Elsevier, vol. 56(4), pages 489-512, April.

    More about this item

    Keywords

    distribution dynamics; productivity; persistence; panel unit root test;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • L16 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Industrial Organization and Macroeconomics; Macroeconomic Industrial Structure
    • N10 - Economic History - - Macroeconomics and Monetary Economics; Industrial Structure; Growth; Fluctuations - - - General, International, or Comparative
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:jen:jenasw:2003-05. 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: Markus Pasche (email available below). General contact details of provider: https://www.wiwi.uni-jena.de/ .

    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.