(This abstract was borrowed from another version of this item.)"> (This abstract was borrowed from another version of this item.)">
[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/rif/dpaper/860.html
   My bibliography  Save this paper

Technology, Labor Characteristic and Wage-productivity Gaps

Author

Listed:
  • Ilmakunnas, Pekka
  • Maliranta, Mika
Abstract
We use plant‐level employer–employee data in production functions and wage equations to examine whether wages are based on productivity. We use a stepwise procedure to find out how the results are influenced by the kind of data that is available. The models include shares of employee groups based on age, level and field of education, and sex. The gap between the age‐related wage and productivity effects increases with age. Education increases productivity, but wage under‐compensates productivity especially for those with the highest level of non‐technical education. For women the results depend greatly on the specification and method used.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Ilmakunnas, Pekka & Maliranta, Mika, 2003. "Technology, Labor Characteristic and Wage-productivity Gaps," Discussion Papers 860, The Research Institute of the Finnish Economy.
    • Handle: RePEc:rif:dpaper:860
    as

    Download full text from publisher

    File URL: http://www.etla.fi/wp-content/uploads/2012/09/dp860.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Haltiwanger, John C. & Lane, Julia I. & Spletzer, James R., 2007. "Wages, productivity, and the dynamic interaction of businesses and workers," Labour Economics, Elsevier, vol. 14(3), pages 575-602, June.
    2. Judith K. Hellerstein & David Neumark, 2007. "Production Function and Wage Equation Estimation with Heterogeneous Labor: Evidence from a New Matched Employer-Employee Data Set," NBER Chapters, in: Hard-to-Measure Goods and Services: Essays in Honor of Zvi Griliches, pages 31-71, National Bureau of Economic Research, Inc.
    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. Börsch-Supan, Axel & Weiss, Matthias, 2016. "Productivity and age: Evidence from work teams at the assembly line," The Journal of the Economics of Ageing, Elsevier, vol. 7(C), pages 30-42.
    2. Navon, Guy, 2009. "Human Capital Spillovers in the Workplace: Labor Diversity and Productivity," MPRA Paper 17741, University Library of Munich, Germany.
    3. MORIKAWA Masayuki, 2017. "Are Part-time Employees Underpaid or Overpaid? Productivity–wage gaps in Japan," Discussion papers 17077, Research Institute of Economy, Trade and Industry (RIETI).
    4. Lovász, Anna & Rigó, Mariann, 2013. "Vintage effects, aging and productivity," Labour Economics, Elsevier, vol. 22(C), pages 47-60.
    5. Beatriz Muriel Hernández, 2016. "An Analysis of Firm Characteristics as Earnings Determinants: The Urban Bolivia Case," Development Research Working Paper Series 04/2016, Institute for Advanced Development Studies.
    6. Pekka Ilmakunnas & Mika Maliranta, 2016. "How does the age structure of worker flows affect firm performance?," Journal of Productivity Analysis, Springer, vol. 46(1), pages 43-62, August.
    7. Beatriz Muriel, 2011. "Rethinking Earnings Determinants in the Urban Areas of Bolivia," Development Research Working Paper Series 06/2011, Institute for Advanced Development Studies.
    8. Jin‐Tan Liu & Meng‐Wen Tsou & Ping Wang, 2010. "Workforce Composition And Firm Productivity: Evidence From Taiwan," Economic Inquiry, Western Economic Association International, vol. 48(4), pages 1032-1047, October.
    9. Iga Magda & Ewa Cukrowska-Torzewska, 2019. "Gender wage gap in the workplace: Does the age of the firm matter?," IBS Working Papers 01/2019, Instytut Badan Strukturalnych.
    10. V. Vandenberghe, 2018. "The Contribution of Educated Workers to Firms’ Efficiency Gains: The Key Role of Proximity to the ‘Local’ Frontier," De Economist, Springer, vol. 166(3), pages 259-283, September.
    11. Ichino, Andrea & Schwerdt, Guido & Winter-Ebmer, Rudolf & Zweimüller, Josef, 2017. "Too old to work, too young to retire?," The Journal of the Economics of Ageing, Elsevier, vol. 9(C), pages 14-29.
    12. Li Yu & Peter F. Orazem, 2014. "O-Ring production on U.S. hog farms: joint choices of farm size, technology, and compensation," Agricultural Economics, International Association of Agricultural Economists, vol. 45(4), pages 431-442, July.
    13. Fibla Gasparín, Ma. Teresa, 2010. "Productivity in southern European small firms: When and how work organization complements process innovation," Working Papers 2072/179600, Universitat Rovira i Virgili, Department of Economics.
    14. Stephan Kampelmann & François Rycx, 2012. "Are Occupations Paid What They are Worth? An Econometric Study of Occupational Wage Inequality and Productivity," De Economist, Springer, vol. 160(3), pages 257-287, September.
    15. Andrea Garnero & Stephan Kampelmann & François Rycx, 2014. "The Heterogeneous Effects of Workforce Diversity on Productivity, Wages, and Profits," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 53(3), pages 430-477, July.
    16. V. Vandenberghe & F. Waltenberg & M. Rigo, 2013. "Ageing and employability. Evidence from Belgian firm-level data," Journal of Productivity Analysis, Springer, vol. 40(1), pages 111-136, August.
    17. Chad Sparber, 2009. "Racial Diversity and Aggregate Productivity in U.S. Industries: 1980–2000," Southern Economic Journal, John Wiley & Sons, vol. 75(3), pages 829-856, January.
    18. Lane, Julia I. & Salmon, Laurie A. & Spletzer, James R., 2007. "Establishment Wage Differentials," Working Papers 403, U.S. Bureau of Labor Statistics.
    19. Hans Gersbach & Amihai Glazer, 2009. "High Compensation Creates a Ratchet Effect," Economic Journal, Royal Economic Society, vol. 119(539), pages 1208-1224, July.
    20. Rycx, François & Saks, Yves & Tojerow, Ilan, 2016. "Misalignment of Productivity and Wages across Regions? Evidence from Belgian Matched Panel Data," IZA Discussion Papers 10336, Institute of Labor Economics (IZA).

    More about this item

    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:rif:dpaper:860. 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: Kaija Hyvönen-Rajecki (email available below). General contact details of provider: https://edirc.repec.org/data/etlaafi.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.