IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v30y1984i8p982-992.html
   My bibliography  Save this article

Estimating Learning Curves from Aggregate Monthly Data

Author

Listed:
  • Norman Keith Womer

    (College of Commerce and Industry, Clemson University, Clemson, South Carolina 29631)

Abstract

In this paper the problems of using aggregate monthly data to estimate learning curves are investigated. Here, aggregate monthly data on labor hours are assumed to contain some of both fixed and variable labor hours. They are also assumed to be influenced by fluctuating quantities of work in process. A distributed lag model is developed to deal with these two characteristics of aggregate monthly data. The model is generalized to permit production rate to influence labor productivity. This generalized model is then estimated and compared to a cumulative average learning curve in analyzing the impact of a production break. A set of production data which arose from a government contract claim is used for this purpose.

Suggested Citation

  • Norman Keith Womer, 1984. "Estimating Learning Curves from Aggregate Monthly Data," Management Science, INFORMS, vol. 30(8), pages 982-992, August.
    • Handle: RePEc:inm:ormnsc:v:30:y:1984:i:8:p:982-992
    DOI: 10.1287/mnsc.30.8.982
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.30.8.982
    Download Restriction: no
    File URL: https://libkey.io/10.1287/mnsc.30.8.982?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
    ---><---

    Citations

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


    Cited by:

    1. C. Lanier Benkard, 1999. "Learning and Forgetting: The Dynamics of Aircraft Production," NBER Working Papers 7127, National Bureau of Economic Research, Inc.
    2. Natallia Pashkevich & Darek M. Haftor, 2020. "Complementarities of Knowledge Worker Productivity: Insights from an Online Experiment of Software Programmers with Innovative Cognitive Style," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 14(2), June.
    3. Harashima, Taiji, 2009. "A Theory of Total Factor Productivity and the Convergence Hypothesis: Workers’ Innovations as an Essential Element," MPRA Paper 15508, University Library of Munich, Germany.
    4. C. Lanier Benkard, 2000. "A Dynamic Analysis of the Market for Wide-Bodied Commercial Aircraft," NBER Working Papers 7710, National Bureau of Economic Research, Inc.
    5. Jeffrey D. Camm & Norman Keith Womer, 1987. "The cost of production breaks," Naval Research Logistics (NRL), John Wiley & Sons, vol. 34(2), pages 199-205, April.
    6. Harashima, Taiji, 2014. "Division of Work and Fragmented Information: An Explanation for the Diminishing Marginal Product of Labor," MPRA Paper 56301, University Library of Munich, Germany.
    7. Harashima, Taiji, 2017. "A Theory on the Economic Impacts of Immigration," MPRA Paper 78821, University Library of Munich, Germany.
    8. Benkard, C. Lanier, 2000. "A Dynamic Analysis of the Market for Wide-Bodied Commercial Aircraft," Research Papers 1636, Stanford University, Graduate School of Business.
    9. Harashima, Taiji, 2011. "A Model of Total Factor Productivity Built on Hayek’s View of Knowledge: What Really Went Wrong with Socialist Planned Economies?," MPRA Paper 29107, University Library of Munich, Germany.
    10. Harashima, Taiji, 2012. "A Theory of Intelligence and Total Factor Productivity: Value Added Reflects the Fruits of Fluid Intelligence," MPRA Paper 43151, University Library of Munich, Germany.

    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:inm:ormnsc:v:30:y:1984:i:8:p:982-992. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.