IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/9069.html
   My bibliography  Save this paper

The driving force of labor productivity

Author

Listed:
  • Kitov, Ivan
  • Kitov, Oleg

Abstract

Labor productivity in developed countries is analyzed and modeled. Modeling is based on our previous finding that the rate of labor force participation is a unique function of GDP per capita. Therefore, labor productivity is fully determined by the rate of economic growth, and thus, is a secondary economic variable. Initially, we assess a model for the U.S. and then test it using data for Japan, France, the UK, Italy, and Canada. Results obtained for these countries validate those for the U.S. The evolution of labor force productivity is predictable at least at an 11-year horizon.

Suggested Citation

  • Kitov, Ivan & Kitov, Oleg, 2008. "The driving force of labor productivity," MPRA Paper 9069, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:9069
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/9069/1/MPRA_paper_9069.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Campbell, John Y., 1994. "Inspecting the mechanism: An analytical approach to the stochastic growth model," Journal of Monetary Economics, Elsevier, vol. 33(3), pages 463-506, June.
    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. Kitov, Ivan & Kitov, Oleg, 2009. "Modelling and predicting labor force productivity," MPRA Paper 15152, University Library of Munich, Germany.
    2. Ivan Kitov & Oleg Kitov, 2009. "Unemployment and inflation in Western Europe: solution by the boundary element method," Papers 0903.5064, arXiv.org.

    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. Kuang, Pei, 2014. "A model of housing and credit cycles with imperfect market knowledge," European Economic Review, Elsevier, vol. 70(C), pages 419-437.
    2. Pei Kuang, 2013. "Imperfect Knowledge About Asset Prices and Credit Cycles," Discussion Papers 13-02, Department of Economics, University of Birmingham.
    3. Huang-Meier, Winifred & Freeman, Mark C., 2015. "Aggregate dividends and consumption smoothing," International Review of Financial Analysis, Elsevier, vol. 42(C), pages 324-335.
    4. Donald Robertson & Stephen Wright, 2012. "The Predictive Space, or, If x predicts y, what does y tell us about x?," Birkbeck Working Papers in Economics and Finance 1210, Birkbeck, Department of Economics, Mathematics & Statistics.
    5. Chan, Ying Tung & Zhao, Hong, 2023. "Optimal carbon tax rates in a dynamic stochastic general equilibrium model with a supply chain," Economic Modelling, Elsevier, vol. 119(C).
    6. Lars Lochstoer & Harjoat S. Bhamra, 2009. "Return Predictability and Labor Market Frictions in a Real Business Cycle Model," 2009 Meeting Papers 1257, Society for Economic Dynamics.
    7. Yulei Luo & William T. Smith & Heng-fu Zou, 2009. "The Spirit of Capitalism and Excess Smoothness," Annals of Economics and Finance, Society for AEF, vol. 10(2), pages 281-301, November.
    8. Huh, Hyeon-seung & Kim, David, 2013. "An empirical test of exogenous versus endogenous growth models for the G-7 countries," Economic Modelling, Elsevier, vol. 32(C), pages 262-272.
    9. Ralph Chami & Thomas F. Cosimano & Connel Fullenkamp, 2001. "Capital Trading, Stock Trading, and the Inflation Tax on Equity," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 4(3), pages 575-606, July.
    10. Liam Graham, 2011. "Individual rationality, model-consistent expectations and learning," CDMA Working Paper Series 201112, Centre for Dynamic Macroeconomic Analysis.
    11. Jim Malley & Apostolis Philippopoulos, 1999. "Economic Growth And Endogenous Fiscal Policy: In Search Of A Data Consistent General Equilibrium Model," Working Papers 1999_18, Business School - Economics, University of Glasgow, revised Jan 1998.
    12. Ludger Linnemann, 2004. "Tax Base and Crowding‐in Effects of Balanced Budget Fiscal Policy," Scandinavian Journal of Economics, Wiley Blackwell, vol. 106(2), pages 273-297, June.
    13. Møller, Niels Framroze, 2008. "Bridging Economic Theory Models and the Cointegrated Vector Autoregressive Model," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 2, pages 1-29.
    14. Florin O. Bilbiie & Fabio Ghironi & Marc J. Melitz, 2012. "Endogenous Entry, Product Variety, and Business Cycles," Journal of Political Economy, University of Chicago Press, vol. 120(2), pages 304-345.
    15. Caraiani, Petre, 2007. "An Analysis of the Fluctuations in the Romanian Economy using the Real Business Cycles Approach," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 4(2), pages 76-86, June.
    16. George Economides & Jim Malley & Apostolis Philippopoulos & Ulrich Woitek, 2003. "Electoral Uncertainty, Fiscal Policies & Growth: Theory and Evidence from Germany, the UK and the US," CESifo Working Paper Series 1072, CESifo.
    17. Yue Ma & Guy Meredith & Matthew S. Yiu, 2002. "A Currency Board Model of Hong Kong," Working Papers 012002, Hong Kong Institute for Monetary Research.
    18. Silvia Bertarelli, 2006. "Public capital and growth," Politica economica, Società editrice il Mulino, issue 3, pages 361-398.
    19. Stefano Eusepi & Bruce Preston, 2009. "Labor Supply Heterogeneity and Macroeconomic Co-movement," NBER Working Papers 15561, National Bureau of Economic Research, Inc.

    More about this item

    Keywords

    productivity; labor force; real GDP; prediction; modeling;
    All these keywords.

    JEL classification:

    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity
    • J2 - Labor and Demographic Economics - - Demand and Supply of Labor

    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:pra:mprapa:9069. 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: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.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.