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A New Approach to Estimation of the R&D-Innovation-Productivity Relationship

Author

Listed:
  • Andreas Stephan
  • Christopher BAUM,
  • Pardis NABAVI
  • Hans LÖÖF,

Abstract

We evaluate a Generalized Structural Equation Model (GSEM) approach to the estimation of the relationship between R&D, innovation and productivity that focuses on the potentially crucial heterogeneity across technology levels and sectors. see above see above

Suggested Citation

  • Andreas Stephan & Christopher BAUM, & Pardis NABAVI & Hans LÖÖF,, 2015. "A New Approach to Estimation of the R&D-Innovation-Productivity Relationship," EcoMod2015 8868, EcoMod.
  • Handle: RePEc:ekd:008007:8868
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    References listed on IDEAS

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    1. Romer, Paul M, 1986. "Increasing Returns and Long-run Growth," Journal of Political Economy, University of Chicago Press, vol. 94(5), pages 1002-1037, October.
    2. Cefis, Elena & Orsenigo, Luigi, 2001. "The persistence of innovative activities: A cross-countries and cross-sectors comparative analysis," Research Policy, Elsevier, vol. 30(7), pages 1139-1158, August.
    3. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
    4. Dosi, Giovanni & Nelson, Richard R., 2010. "Technical Change and Industrial Dynamics as Evolutionary Processes," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 1, chapter 0, pages 51-127, Elsevier.
    5. Zvi Griliches, 1998. "Productivity and R&D at the Firm Level," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 100-133, National Bureau of Economic Research, Inc.
    6. Bruno Cassiman & Reinhilde Veugelers, 2002. "R&D Cooperation and Spillovers: Some Empirical Evidence from Belgium," American Economic Review, American Economic Association, vol. 92(4), pages 1169-1184, September.
    7. Bettina Peters, 2009. "Persistence of innovation: stylised facts and panel data evidence," The Journal of Technology Transfer, Springer, vol. 34(2), pages 226-243, April.
    8. Ariel Pakes & Zvi Griliches, 1984. "Patents and R&D at the Firm Level: A First Look," NBER Chapters, in: R&D, Patents, and Productivity, pages 55-72, National Bureau of Economic Research, Inc.
    9. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    10. Acharya, Ram C. & Keller, Wolfgang, 2008. "Estimating the Productivity Selection and Technology Spillover Effects of Imports," CEPR Discussion Papers 6860, C.E.P.R. Discussion Papers.
    11. Nathan ROSENBERG, 2009. "Why do firms do basic research (with their own money)?," World Scientific Book Chapters, in: Nathan Rosenberg (ed.), Studies On Science And The Innovation Process Selected Works of Nathan Rosenberg, chapter 11, pages 225-234, World Scientific Publishing Co. Pte. Ltd..
    12. Hall, B.H., 2011. "Innovation and productivity," MERIT Working Papers 2011-028, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    13. James Levinsohn & Amil Petrin, 2003. "Estimating Production Functions Using Inputs to Control for Unobservables," Review of Economic Studies, Oxford University Press, vol. 70(2), pages 317-341.
    14. 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.
    15. Martin Andersson & Hans Lööf, 2009. "Learning‐by‐Exporting Revisited: The Role of Intensity and Persistence," Scandinavian Journal of Economics, Wiley Blackwell, vol. 111(4), pages 893-916, December.
    16. Hans L��f & B�rje Johansson, 2014. "R&D Strategy, Metropolitan Externalities and Productivity: Evidence from Sweden," Industry and Innovation, Taylor & Francis Journals, vol. 21(2), pages 141-154, February.
    17. Sophia Rabe-Hesketh & Anders Skrondal & Andrew Pickles, 2004. "Generalized multilevel structural equation modeling," Psychometrika, Springer;The Psychometric Society, vol. 69(2), pages 167-190, June.
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    Cited by:

    1. Movahedi, Mohammad & Shahbazi, Kiumars & Gaussens, Olivier, 2017. "Innovation and willingness to export: Is there an effect of conscious self-selection?," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 11, pages 1-22.
    2. Schäfer, Dorothea & Stephan, Andreas & Mosquera, Jenniffer Solórzano, 2015. "Innovation Capabilities and Financing Constraints of Family Firms," Working Paper Series in Economics and Institutions of Innovation 425, Royal Institute of Technology, CESIS - Centre of Excellence for Science and Innovation Studies.
    3. Audretsch, David & Hafenstein, Marian & Kritikos, Alexander S. & Schiersch, Alexander, 2018. "Firm Size and Innovation in the Service Sector," IZA Discussion Papers 12035, Institute of Labor Economics (IZA).
    4. Dorothea Schäfer & Andreas Stephan & Jenniffer Solórzano Mosquera, 2017. "Family ownership: does it matter for funding and success of corporate innovations?," Small Business Economics, Springer, vol. 48(4), pages 931-951, April.
    5. Marcel Ausloos & Francesca Bartolacci & Nicola G. Castellano & Roy Cerqueti, 2020. "Simple approaches on how to discover promising strategies for efficient enterprise performance, at time of crisis in the case of SMEs : Voronoi clustering and outlier effects perspective," Papers 2012.14297, arXiv.org.
    6. Ferrando, Annalisa & Rossi, Stefania P. S. & Bonanno, Graziella, 2020. "Determinants of firms’ efficiency: do innovations and finance constraints matter? The case of European SMEs," Working Paper Series 2419, European Central Bank.
    7. Castelnovo, Paolo & Florio, Massimo & Forte, Stefano & Rossi, Lucio & Sirtori, Emanuela, 2018. "The economic impact of technological procurement for large-scale research infrastructures: Evidence from the Large Hadron Collider at CERN," Research Policy, Elsevier, vol. 47(9), pages 1853-1867.
    8. Marcel Ausloos & Francesca Bartolacci & Nicola G. Castellano & Roy Cerqueti, 2018. "Exploring how innovation strategies at time of crisis influence performance: a cluster analysis perspective," Papers 1808.05893, arXiv.org.
    9. Mohnen, Pierre, 2019. "R&D, innovation and productivity," MERIT Working Papers 2019-016, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    10. Eric J. Bartelsman & Martin Falk & Eva Hagsten & Michael Polder, 2019. "Productivity, technological innovations and broadband connectivity: firm-level evidence for ten European countries," Eurasian Business Review, Springer;Eurasia Business and Economics Society, vol. 9(1), pages 25-48, March.

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    More about this item

    Keywords

    Sweden; Growth; Macroeconometric modeling;
    All these keywords.

    JEL classification:

    • C00 - Mathematical and Quantitative Methods - - General - - - General
    • L00 - Industrial Organization - - General - - - General
    • O00 - Economic Development, Innovation, Technological Change, and Growth - - General - - - General

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