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Modelling and measuring the effects of public subsidies on business R&D: theoretical and econometric issues

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Abstract

It is the aim of this paper to review the principal econometric models used so far to measure the effect of government’s support to private R&D expenditure; in order to reach this task, we first present a basic theoretical framework to identify the effects of public subsidies on business R&D, going on by extending it to the case of dynamic complementarities and presence of subsidy spillovers. The review of the econometric models, the core of the paper, starts from section 4. We first classify econometric models according to three dimensions: 1. structural (based on a system of equations) and non-structural (based on a reduced-form equation and, possibly, a counterfactual) models; 2. models using the subsidy variable in a continuous or in a binary form; and finally, 3. studies exploiting a cross-section versus a longitudinal (panel data) structure. The final part of the paper is an original contribution providing some guidelines to implement R&D policy evaluation in a dynamic subsidization setting.

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Bibliographic Info

Paper provided by Institute for Economic Research on Firms and Growth - Moncalieri (TO) in its series CERIS Working Paper with number 200803.

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Length: 49 pages
Date of creation: Jun 2008
Date of revision:
Handle: RePEc:csc:cerisp:200803

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Keywords: business R&D; public incentives; econometric evaluation; dynamic treatment;

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References

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  1. Hussinger, Katrin, 2003. "R&D and Subsidies at the Firm Level: An Application of Parametric and Semi-Parametric Two-Step Selection Models," ZEW Discussion Papers 03-63, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  2. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  3. James J. Heckman, 2001. "Micro Data, Heterogeneity, and the Evaluation of Public Policy: Nobel Lecture," Journal of Political Economy, University of Chicago Press, vol. 109(4), pages 673-748, August.
  4. Lechner, Michael, 1999. "Identification and Estimation of Causal Effects of Multiple Treatments Under the Conditional Independence Assumption," IZA Discussion Papers 91, Institute for the Study of Labor (IZA).
  5. David, Paul A. & Hall, Bronwyn H., 2000. "Heart of Darkness: Modeling Public-Private Funding Interactions Inside the R&D Black Box," Department of Economics, Working Paper Series qt5g29w0xq, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
  6. James J. Heckman, 1977. "Dummy Endogenous Variables in a Simultaneous Equation System," NBER Working Papers 0177, National Bureau of Economic Research, Inc.
  7. Martin, Stephen & Scott, John T., 2000. "The nature of innovation market failure and the design of public support for private innovation," Research Policy, Elsevier, vol. 29(4-5), pages 437-447, April.
  8. Lee, Myoung-jae, 2005. "Micro-Econometrics for Policy, Program and Treatment Effects," OUP Catalogue, Oxford University Press, number 9780199267699.
  9. DUGUET Emmanuel, 2004. "Are R&D subsidies a substitute or a complement to privately funded R&D? Evidence from France using propensity score methods for non- experimental data," Public Economics 0411007, EconWPA.
  10. 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.
  11. Almus, Matthias & Czarnitzki, Dirk, 2001. "The effects of public R&D subsidies on firms' innovation activities: the case of Eastern Germany," ZEW Discussion Papers 01-10, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  12. Xulia Gonz�lez & Jordi Jaumandreu & Consuelo Pazo, 2005. "Barriers to Innovation and Subsidy Effectiveness," RAND Journal of Economics, The RAND Corporation, vol. 36(4), pages 930-949, Winter.
  13. Isabel Busom, 2000. "An Empirical Evaluation of The Effects of R&D Subsidies," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 9(2), pages 111-148.
  14. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages S71-102, October.
  15. Heckman, James J. & Urzua, Sergio & Vytlacil, Edward, 2006. "Understanding Instrumental Variables in Models with Essential Heterogeneity," IZA Discussion Papers 2320, Institute for the Study of Labor (IZA).
  16. Rajeev H. Dehejia & Sadek Wahba, 1998. "Propensity Score Matching Methods for Non-experimental Causal Studies," NBER Working Papers 6829, National Bureau of Economic Research, Inc.
  17. Heshmati, Almas & Loof, Hans, 2005. "The Impact of Public Funds on Private R&D Investment: New Evidence from a Firm Level Innovation Study," Discussion Papers 11862, MTT Agrifood Research Finland.
  18. Klette, Tor Jakob & Moen, Jarle & Griliches, Zvi, 2000. "Do subsidies to commercial R&D reduce market failures? Microeconometric evaluation studies1," Research Policy, Elsevier, vol. 29(4-5), pages 471-495, April.
  19. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
  20. M. Ishaq Nadiri, 1993. "Innovations and Technological Spillovers," NBER Working Papers 4423, National Bureau of Economic Research, Inc.
  21. Klette, Tor Jakob & Møen, Jarle, 2011. "R&D investment responses to R&D subsidies: A theoretical analysis and a microeconometric study," Discussion Papers 2011/15, Department of Business and Management Science, Norwegian School of Economics.
  22. Paul M Romer, 1999. "Increasing Returns and Long-Run Growth," Levine's Working Paper Archive 2232, David K. Levine.
  23. Klette, T.J. & Moen, J. & Griliches, Z., 1999. "Do Subsidies to Commercial R&D Reduce Market Failures? Microeconometric Evaluation Studies," Papers 16/99, Norwegian School of Economics and Business Administration-.
  24. Zhong Zhao, 2004. "Using Matching to Estimate Treatment Effects: Data Requirements, Matching Metrics, and Monte Carlo Evidence," The Review of Economics and Statistics, MIT Press, vol. 86(1), pages 91-107, February.
  25. Aerts, Kris & Czarnitzki, Dirk, 2004. "Using Innovation Survey Data to Evaluate R&D Policy: The Case of Belgium," ZEW Discussion Papers 04-55, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
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Cited by:
  1. Dezhina, I. & Simachev, Yu., 2013. "Matching Grants for Stimulating Partnerships between Companies and Universities in Innovation Area: Initial Effects in Russia," Journal of the New Economic Association, New Economic Association, vol. 19(3), pages 99-122.

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