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An Empirical Model of Growth Through Product Innovation

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  • Rasmus Lentz
  • Dale T. Mortensen

Abstract

Productivity dispersion across firms is large and persistent, and worker reallocation among firms is an important source of productivity growth. The purpose of the paper is to estimate the structure of an equilibrium model of growth through innovation that explains these facts. The model is a modified version of the Schumpeterian theory of firm evolution and growth developed by Klette and Kortum (2004). The data set is a panel of Danish firms than includes information on value added, employment, and wages. The model's fit is good and the structural parameter estimates have interesting implications for the aggregate growth rate and the contribution of worker reallocation to it.

Suggested Citation

  • Rasmus Lentz & Dale T. Mortensen, 2005. "An Empirical Model of Growth Through Product Innovation," NBER Working Papers 11546, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:11546
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    References listed on IDEAS

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    1. Martin Browning & Mette Ejrnæs & Javier Alvarez, 2010. "Modelling Income Processes with Lots of Heterogeneity," Review of Economic Studies, Oxford University Press, vol. 77(4), pages 1353-1381.
    2. Baily, Martin Neil & Bartelsman, Eric J & Haltiwanger, John, 1996. "Downsizing and Productivity Growth: Myth or Reality?," Small Business Economics, Springer, vol. 8(4), pages 259-278, August.
    3. Gourieroux, C & Monfort, A & Renault, E, 1993. "Indirect Inference," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(S), pages 85-118, Suppl. De.
    4. Mark L.J. Wright & Esteban Rossi-Hansberg, 2004. "Firm Size Dynamics in the Aggregate Economy," 2004 Meeting Papers 878, Society for Economic Dynamics.
    5. Altonji, Joseph G & Segal, Lewis M, 1996. "Small-Sample Bias in GMM Estimation of Covariance Structures," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(3), pages 353-366, July.
    6. Joel L. Horowitz, 1996. "Bootstrap Methods For Covariance Structures," Econometrics 9610003, EconWPA.
    7. Dale T. Mortensen & Rasmus Lentz, 2004. "Productivity Differences and Firm Size," 2004 Meeting Papers 60, Society for Economic Dynamics.
    8. Steven J. Davis & John C. Haltiwanger & Scott Schuh, 1998. "Job Creation and Destruction," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262540932, March.
    9. Rasmus Lentz & Dale T. Mortensen, 2005. "Productivity Growth And Worker Reallocation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 46(3), pages 731-749, August.
    10. Klette, Tor Jakob & Griliches, Zvi, 1996. "The Inconsistency of Common Scale Estimators When Output Prices Are Unobserved and Endogenous," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(4), pages 343-361, July-Aug..
    11. Anders Frederiksen & Niels Westergaard-Nielsen, 2002. "Where did they go?," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 D3-2, International Conferences on Panel Data.
    12. Bent Jesper Christensen & Rasmus Lentz & Dale T. Mortensen & George R. Neumann & Axel Werwatz, 2005. "On-the-Job Search and the Wage Distribution," Journal of Labor Economics, University of Chicago Press, vol. 23(1), pages 31-58, January.
    13. Bruce C. Fallick & Charles A. Fleischman, 2001. "The importance of employer-to-employer flows in the U.S. labor market," Finance and Economics Discussion Series 2001-18, Board of Governors of the Federal Reserve System (U.S.).
    14. Tor Jakob Klette & Samuel Kortum, 2004. "Innovating Firms and Aggregate Innovation," Journal of Political Economy, University of Chicago Press, vol. 112(5), pages 986-1018, October.
    15. Lucia Foster & John C. Haltiwanger & C. J. Krizan, 2001. "Aggregate Productivity Growth: Lessons from Microeconomic Evidence," NBER Chapters,in: New Developments in Productivity Analysis, pages 303-372 National Bureau of Economic Research, Inc.
    16. Mark Doms & Eric J. Bartelsman, 2000. "Understanding Productivity: Lessons from Longitudinal Microdata," Journal of Economic Literature, American Economic Association, vol. 38(3), pages 569-594, September.
    17. Joel L. Horowitz, 1998. "Bootstrap Methods for Covariance Structures," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 39-61.
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    More about this item

    JEL classification:

    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J23 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Demand
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O4 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity

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