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The R&D tax credit in France: assessment and ex ante evaluation of the 2008 reform


  • Benoît Mulkay
  • Jacques Mairesse


This article presents an econometric analysis of the direct effects of the R&D tax credit (RTC) on private R&D in France and proposes an ex ante evaluation of the major reform implemented in 2008. We first estimate an error correction model of a dynamic R&D demand function on a large panel data of R&D doing firms, obtaining a preferred estimate of -0.4 for the long run elasticity of the user cost of R&D capital. We then perform a micro-simulation of the effects of the 2008 RTC reform that shows that the implicit long run budget multiplier would be about 0.7. Copyright 2013 Oxford University Press 2013 All rights reserved, Oxford University Press.

Suggested Citation

  • Benoît Mulkay & Jacques Mairesse, 2013. "The R&D tax credit in France: assessment and ex ante evaluation of the 2008 reform," Oxford Economic Papers, Oxford University Press, vol. 65(3), pages 746-766, July.
  • Handle: RePEc:oup:oxecpp:v:65:y:2013:i:3:p:746-766

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    References listed on IDEAS

    1. Stephen Bond & Julie Ann Elston & Jacques Mairesse & Benoît Mulkay, 2003. "Financial Factors and Investment in Belgium, France, Germany, and the United Kingdom: A Comparison Using Company Panel Data," The Review of Economics and Statistics, MIT Press, vol. 85(1), pages 153-165, February.
    2. 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..
    3. Blundell, Richard & Bond, Stephen, 1998. "Initial conditions and moment restrictions in dynamic panel data models," Journal of Econometrics, Elsevier, vol. 87(1), pages 115-143, August.
    4. Arellano, M, 1987. "Computing Robust Standard Errors for Within-Groups Estimators," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 49(4), pages 431-434, November.
    5. Chirinko, Robert S. & Fazzari, Steven M. & Meyer, Andrew P., 1999. "How responsive is business capital formation to its user cost?: An exploration with micro data," Journal of Public Economics, Elsevier, vol. 74(1), pages 53-80, October.
    6. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    7. Jacques Mairesse & Jordi Jaumandreu, 2005. "Panel-data Estimates of the Production Function and the Revenue Function: What Difference Does It Make?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 107(4), pages 651-672, December.
    8. Sevestre, P. & Trognon, A., 1985. "A note on autoregressive error components models," Journal of Econometrics, Elsevier, vol. 28(2), pages 231-245, May.
    9. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," Review of Economic Studies, Oxford University Press, vol. 58(2), pages 277-297.
    10. Emmanuel Duguet, 2008. "L’effet du credit d’impôt recherche sur le financement privé de la recherche : une évaluation économétrique," Documents de recherche 08-08, Centre d'Études des Politiques Économiques (EPEE), Université d'Evry Val d'Essonne.
    11. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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    Cited by:

    1. Elina Ladinska & Marielle Non & Bas Straathof, 2015. "More R&D with tax incentives? A meta-analysis," CPB Discussion Paper 309, CPB Netherlands Bureau for Economic Policy Analysis.
    2. Tim Buyse & Freddy Heylen & Ruben Schoonackers, 2015. "On The Role Of Public Policies And Wage Formation For Private Investment In R&D: A Long-Run Panel Analysis," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 15/911, Ghent University, Faculty of Economics and Business Administration.
    3. Beck, Mathias & Junge, Martin & Kaiser, Ulrich, 2017. "Public Funding and Corporate Innovation," IZA Discussion Papers 11196, Institute for the Study of Labor (IZA).
    4. Irem Guceri & Li Liu, 2015. "Effectiveness of fiscal incentives for R&D: quasi-experimental evidence," Working Papers 1512, Oxford University Centre for Business Taxation.
    5. Benjamin Montmartin & Marcos Herrera & Nadine Massard, 2015. "R&D Policies in France: New Evidence from a NUTS3 Spatial Analysis," GREDEG Working Papers 2015-26, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), University of Nice Sophia Antipolis.
    6. Falato, Antonio & Sim, Jae W., 2014. "Why Do Innovative Firms Hold So Much Cash? Evidence from Changes in State R&D Tax Credits," Finance and Economics Discussion Series 2014-72, Board of Governors of the Federal Reserve System (U.S.).
    7. Bettina Becker, 2013. "The Determinants of R&D Investment: A Survey of the Empirical Research," Discussion Paper Series 2013_09, Department of Economics, Loughborough University, revised Sep 2013.
    8. Minniti, Antonio & Venturini, Francesco, 2017. "The long-run growth effects of R&D policy," Research Policy, Elsevier, vol. 46(1), pages 316-326.
    9. repec:kap:itaxpf:v:25:y:2018:i:1:d:10.1007_s10797-017-9438-3 is not listed on IDEAS
    10. repec:eee:chieco:v:46:y:2017:i:c:p:50-66 is not listed on IDEAS
    11. Michel Dumont, 2015. "Working Paper 05-15 - Evaluation of federal tax incentives for private R&D in Belgium: An update," Working Papers 1505, Federal Planning Bureau, Belgium.

    More about this item

    JEL classification:

    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies
    • H32 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Firm
    • 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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