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On the Relationship between Innovation and Performance: A sensitivity Analysis

Author

Listed:
  • Lööf, Hans

    () (Department of Industrial Economics and Management)

  • Heshmati, Almas

    () (The United Nations University, WIDER)

Abstract

The objective of this study is to investigate the sensitivity of the estimated relationship between innovation and firm performance. In doing so, we rely on a knowledge production function approach and carry out comparisons in a number of respects. The sensitivity analysis is based on the comparison of a basic econometric model with different alternative models using the same data sources, an identical model but different data sources, different classifications of firm performance and different classifications of innovation. The analyses are performed in both level and growth rate dimensions. The overall picture gives indications of what factors cause variations in the estimated effects of interest and the direction of changes.

Suggested Citation

  • Lööf, Hans & Heshmati, Almas, 2001. "On the Relationship between Innovation and Performance: A sensitivity Analysis," SSE/EFI Working Paper Series in Economics and Finance 0446, Stockholm School of Economics, revised 01 Oct 2001.
  • Handle: RePEc:hhs:hastef:0446
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    References listed on IDEAS

    as
    1. d'Aspremont, Claude & Jacquemin, Alexis, 1988. "Cooperative and Noncooperative R&D in Duopoly with Spillovers," American Economic Review, American Economic Association, vol. 78(5), pages 1133-1137, December.
    2. Zvi Griliches & Jacques Mairesse, 1995. "Production Functions: The Search for Identification," NBER Working Papers 5067, National Bureau of Economic Research, Inc.
    3. Klette, Tor Jakob & Griliches, Zvi, 2000. "Empirical Patterns of Firm Growth and R&D Investment: A Quality Ladder Model Interpretation," Economic Journal, Royal Economic Society, vol. 110(463), pages 363-387, April.
    4. Hans Lööf & Almas Heshmati, 2006. "On the relationship between innovation and performance: A sensitivity analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(4-5), pages 317-344.
    5. repec:fth:harver:1473 is not listed on IDEAS
    6. Bronwyn H. Hall, 1993. "Industrial Research during the 1980s: Did the Rate of Return Fall?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 24(2 Microec), pages 289-343.
    7. Corinne Barlet & Emmanuel Duguet & David Encaoua & Jacqueline Pradel, 1998. "The Commercial Success of Innovations: an Econometric Analysis at the Firm Lebel in French Manufacturing," Annals of Economics and Statistics, GENES, issue 49-50, pages 457-478.
    8. 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.
    9. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters,in: R&D and Productivity: The Econometric Evidence, pages 287-343 National Bureau of Economic Research, Inc.
    10. Ricardo J. Caballero & Adam B. Jaffe, 1993. "How High are the Giants' Shoulders: An Empirical Assessment of Knowledge Spillovers and Creative Destruction in a Model of Economic Growth," NBER Chapters,in: NBER Macroeconomics Annual 1993, Volume 8, pages 15-86 National Bureau of Economic Research, Inc.
    11. Cohen, Wesley M & Klepper, Steven, 1996. "A Reprise of Size and R&D," Economic Journal, Royal Economic Society, vol. 106(437), pages 925-951, July.
    12. Griliches, Zvi, 1988. "Productivity Puzzles and R&D: Another Nonexplanation," Journal of Economic Perspectives, American Economic Association, vol. 2(4), pages 9-21, Fall.
    13. Loof, Hans & Heshmati, Almas, 2002. "Knowledge capital and performance heterogeneity: : A firm-level innovation study," International Journal of Production Economics, Elsevier, vol. 76(1), pages 61-85, March.
    14. Jacques Mairesse & Philippe Cunéo, 1985. "Recherche-développement et performances des entreprises : une étude économétrique sur données individuelles," Revue Économique, Programme National Persée, vol. 36(5), pages 1001-1042.
    15. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
    16. Zvi Griliches & Jacques Mairesse, 1981. "Productivity and R and D at the Firm Level," NBER Working Papers 0826, National Bureau of Economic Research, Inc.
    17. Hall, Bronwyn H. & Mairesse, Jacques, 1995. "Exploring the relationship between R&D and productivity in French manufacturing firms," Journal of Econometrics, Elsevier, vol. 65(1), pages 263-293, January.
    18. Zvi Griliches, 1998. "Issues in Assessing the Contribution of Research and Development to Productivity Growth," NBER Chapters,in: R&D and Productivity: The Econometric Evidence, pages 17-45 National Bureau of Economic Research, Inc.
    19. repec:adr:anecst:y:1998:i:49-50:p:17 is not listed on IDEAS
    20. Ariel Pakes & Zvi Griliches, 1980. "Patents and R and D at the Firm Level: A First Look," NBER Working Papers 0561, National Bureau of Economic Research, Inc.
    21. Zvi Griliches, 1958. "Research Costs and Social Returns: Hybrid Corn and Related Innovations," Journal of Political Economy, University of Chicago Press, vol. 66, pages 419-419.
    22. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    23. Rosenberg,Nathan, 1994. "Exploring the Black Box," Cambridge Books, Cambridge University Press, number 9780521459556, December.
    24. repec:crs:wpaper:9730 is not listed on IDEAS
    25. repec:adr:anecst:y:1998:i:49-50:p:18 is not listed on IDEAS
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    More about this item

    Keywords

    Knowledge capital; productivity; innovation; manufacturing; services; knowledge intensity; Community Innovation Survey;

    JEL classification:

    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
    • L60 - Industrial Organization - - Industry Studies: Manufacturing - - - General
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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