IDEAS home Printed from https://ideas.repec.org/p/ssb/dispap/441.html
   My bibliography  Save this paper

Lumpy Investments, Factor Adjustments and Productivity

Author

Listed:
  • Øivind A. Nilsen

    ()

  • Arvid Raknerud
  • Marina Rybalka
  • Terje Skjerpen

    (Statistics Norway)

Abstract

This paper describes firms' output and factor demand before, during and after episodes of lumpy investments using a rich employer-employee panel data set for two manufacturing industries and one service industry. We focus on the simultaneous adjustment of capital, materials, man-hours, as well as the skill composition and hourly cost of labour. The investment spikes lead to roughly proportional changes in sales, labour and materials, while capital intensity increases significantly. Capital adjustments are found to be smoother in the service industry than in the two manufacturing industries, a difference that may be related to the labour intensity in the service industry. Finally, the changes in productivity associated with episodes of investment spikes are small, indicating that productivity improvements are related to learning-by-doing rather than instantaneous technological changes through investment spikes.

Suggested Citation

  • Øivind A. Nilsen & Arvid Raknerud & Marina Rybalka & Terje Skjerpen, 2005. "Lumpy Investments, Factor Adjustments and Productivity," Discussion Papers 441, Statistics Norway, Research Department.
  • Handle: RePEc:ssb:dispap:441
    as

    Download full text from publisher

    File URL: https://www.ssb.no/a/publikasjoner/pdf/DP/dp441.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Ellen R. McGrattan & James A. Schmitz, 1999. "Maintenance and repair: too big to ignore," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Fall, pages 2-13.
    2. Mikael Carlsson & Stefan Laséen, 2005. "Capital Adjustment Patterns In Swedish Manufacturing Firms: What Model Do They Suggest?," Economic Journal, Royal Economic Society, vol. 115(506), pages 969-986, October.
    3. Jonas D. M. Fisher & Jeffrey R. Campbell, 2000. "Aggregate Employment Fluctuations with Microeconomic Asymmetries," American Economic Review, American Economic Association, vol. 90(5), pages 1323-1345, December.
    4. Bentolila, S. & Saint-Paul, G., 1995. "A model of labour demand with linear adjustment costs," Labour Economics, Elsevier, vol. 2(1), pages 105-105, March.
    5. Nadiri, M Ishaq & Rosen, Sherwin, 1969. "Interrelated Factor Demand Functions," American Economic Review, American Economic Association, vol. 59(4), pages 457-471, Part I Se.
    6. Sakellaris, Plutarchos, 2004. "Patterns of plant adjustment," Journal of Monetary Economics, Elsevier, vol. 51(2), pages 425-450, March.
    7. Nilsen, Oivind A. & Salvanes, Kjell G. & Schiantarelli, Fabio, 2007. "Employment changes, the structure of adjustment costs, and plant size," European Economic Review, Elsevier, vol. 51(3), pages 577-598, April.
    8. David H. Autor & Frank Levy & Richard J. Murnane, 2003. "The skill content of recent technological change: an empirical exploration," Proceedings, Federal Reserve Bank of San Francisco, issue Nov.
    9. Abel, Andrew B. & Eberly, Janice C., 1998. "The mix and scale of factors with irreversibility and fixed costs of investment," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 48(1), pages 101-135, June.
    10. Baltagi, Badi H, 1980. "On Seemingly Unrelated Regressions with Error Components," Econometrica, Econometric Society, vol. 48(6), pages 1547-1551, September.
    11. Eli Bekman & John Bound & Stephen Machin, 1998. "Implications of Skill-Biased Technological Change: International Evidence," The Quarterly Journal of Economics, Oxford University Press, vol. 113(4), pages 1245-1279.
    12. Daniel S. Hamermesh & Gerard A. Pfann, 1996. "Adjustment Costs in Factor Demand," Journal of Economic Literature, American Economic Association, vol. 34(3), pages 1264-1292, September.
    13. Arvid Raknerud & Dag Rønningen & Terje Skjerpen, 2007. "A Method for Improved Capital Measurement by Combining Accounts and Firm Investment Data. A revised version," Discussion Papers 365, Statistics Norway, Research Department.
    14. Goux, Dominique & Maurin, Eric & Pauchet, Marianne, 2001. "Fixed-term contracts and the dynamics of labour demand," European Economic Review, Elsevier, vol. 45(3), pages 533-552, March.
    15. Hamermesh, Daniel S, 1989. "Labor Demand and the Structure of Adjustment Costs," American Economic Review, American Economic Association, vol. 79(4), pages 674-689, September.
    16. John Haltiwanger & Russell Cooper & Laura Power, 1999. "Machine Replacement and the Business Cycle: Lumps and Bumps," American Economic Review, American Economic Association, vol. 89(4), pages 921-946, September.
    17. Jim Bessen, 1997. "Productivity Adjustments and Learning-by-Doing as Human Capital," Working Papers 97-17, Center for Economic Studies, U.S. Census Bureau.
    18. Hamermesh, Daniel S, 1992. "A General Model of Dynamic Labor Demand," The Review of Economics and Statistics, MIT Press, vol. 74(4), pages 733-737, November.
    19. Jeffrey R. Campbell & Jonas D. M. Fisher, 2004. "Idiosyncratic Risk and Aggregate Employment Dynamics," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(2), pages 331-353, April.
    20. Øivind Anti Nilsen & Fabio Schiantarelli, 2003. "Zeros and Lumps in Investment: Empirical Evidence on Irreversibilities and Nonconvexities," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1021-1037, November.
    21. Abowd, John M. & Kramarz, Francis, 2003. "The costs of hiring and separations," Labour Economics, Elsevier, vol. 10(5), pages 499-530, October.
    22. Huggett, Mark & Ospina, Sandra, 2001. "Does productivity growth fall after the adoption of new technology?," Journal of Monetary Economics, Elsevier, vol. 48(1), pages 173-195, August.
    23. Barnett, Steven A. & Sakellaris, Plutarchos, 1998. "Nonlinear response of firm investment to Q:: Testing a model of convex and non-convex adjustment costs1," Journal of Monetary Economics, Elsevier, vol. 42(2), pages 261-288, July.
    24. Mark E. Doms & Timothy Dunne, 1998. "Capital Adjustment Patterns in Manufacturing Plants," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 1(2), pages 409-429, April.
    25. Letterie, Wilko A. & Pfann, Gerard A. & Polder, J. Michael, 2004. "Factor adjustment spikes and interrelation: an empirical investigation," Economics Letters, Elsevier, vol. 85(2), pages 145-150, November.
    26. Verick, Sher & Letterie, Wilko & Pfann, Gerard A., 2004. "Non-Linearities in the Expansion of Capital Stock," IZA Discussion Papers 1132, Institute for the Study of Labor (IZA).
    27. Caballero, Ricardo J & Engel, Eduardo M R A & Haltiwanger, John, 1997. "Aggregate Employment Dynamics: Building from Microeconomic Evidence," American Economic Review, American Economic Association, vol. 87(1), pages 115-137, March.
    28. Daniel S. Hamermesh, 1993. "Labor Demand and the Source of Adjustment Costs," NBER Working Papers 4394, National Bureau of Economic Research, Inc.
    29. Avery, Robert B, 1977. "Error Components and Seemingly Unrelated Regressions," Econometrica, Econometric Society, vol. 45(1), pages 199-209, January.
    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. Øivind A. Nilsen & Arvid Raknerud & Marina Rybalka & Terje Skjerpen, 2008. "Skill Composition: Exploring a Wage-based Skill Measure," Discussion Papers 531, Statistics Norway, Research Department.
    2. Sandra Martina Leitner, 2008. "Interrelatedness, Dynamic Factor Adjustment Patterns and Firm Heterogeneity in Austrian Manufacturing," Economics working papers 2008-03, Department of Economics, Johannes Kepler University Linz, Austria.

    More about this item

    Keywords

    Lumpy investments; Adjustment costs; Productivity; Panel data;

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • D21 - Microeconomics - - Production and Organizations - - - Firm Behavior: Theory
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity

    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:ssb:dispap:441. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (L Maasø). General contact details of provider: http://edirc.repec.org/data/ssbgvno.html .

    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 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.