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Estimating the additionality of R&D subsidies using proposal evaluation data to control for firms’ R&D intentions

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  • Morten S. Henningsen
  • Torbjørn Hægeland
  • Jarle Møen

    ()
    (Statistics Norway)

Abstract

Empirical examination of whether R&D subsidies to private firms crowd out private investments has been hampered by problems related to selection. A particular worry is that research intentions and the quality of current research ideas may be correlated with the likelihood of applying for and receiving subsidies. Proposal evaluation data has been put forward as a potential remedy. Using such data from Norway, we do not find strong evidence suggesting that this type of selection creates a severe bias. Proposal evaluation grades strongly predict R&D investments and reduce selection bias in cross-sectional regressions, but there is limited variation in grades within firms over time. This suggests that unobserved project quality is largely absorbed by firm fixed effects. Our best estimate of the short-run additionality of R&D subsidies is 1.15, i.e., a one-unit increase in subsidy increases total R&D expenditure in the recipient firm by somewhat more than a unit. We demonstrate, however, that there is severe measurement error in the subsidy variable. Additionality is therefore likely to be underestimated, and we conclude that measurement errors may be a more important source of bias than selection when panel data are available.

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Bibliographic Info

Paper provided by Research Department of Statistics Norway in its series Discussion Papers with number 729.

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Date of creation: Dec 2012
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Handle: RePEc:ssb:dispap:729

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Keywords: Technology policy; R&D subsidies; input additionality; selection; proxy variables;

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  1. Guido Imbens & Thomas Lemieux, 2007. "Regression Discontinuity Designs: A Guide to Practice," NBER Technical Working Papers 0337, National Bureau of Economic Research, Inc.
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  7. Giovanni Cerulli, 2010. "Modelling and Measuring the Effect of Public Subsidies on Business R&D: A Critical Review of the Econometric Literature," The Economic Record, The Economic Society of Australia, vol. 86(274), pages 421-449, 09.
  8. Daniel Chudnovsky & Andrés López & Martín A. Rossi & Diego Ubfal, 2008. "Money for Science? The Impact of Research Grants on Academic Output," Fiscal Studies, Institute for Fiscal Studies, vol. 29(1), pages 75-87, 03.
  9. Lichtenberg, Frank R, 1984. "The Relationship between Federal Contract R&D and Company R&D," American Economic Review, American Economic Association, vol. 74(2), pages 73-78, May.
  10. José Miguel Benavente & Gustavo Crespi & Alessandro Maffioli, 2007. "The Impact of National Research Funds: An Evaluation of the Chilean FONDECYT," OVE Working Papers, Inter-American Development Bank, Office of Evaluation and Oversight (OVE) 0307, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
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Cited by:
  1. 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.

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