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New Perspectives on the Evaluation of Public R&D Funding

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Author Info

  • Marino, Marianna

    ()
    (College of Management of Technology)

  • Parrotta, Pierpaolo

    (Department of Economics, Aarhus School of Business)

  • Sala, Davide

    (Department of Economics, Aarhus School of Business)

Abstract

Any economic criteria for an ecient allocation of resources is based on marginal \thinking". Such criteria can equally be applied to the evaluation of the public allocation of R&D funds. Di erently from the usual evaluation schemes - mainly dichotomous - this study implements the continuous treatment matching approach to investigate the optimality of the modulation of public grants. With this method, the marginal treatment e ects can be identi ed and sub-optimal amounts of public funding determined. Although we can distinguish cases of input additionality, the substitutability outcome seems to prevail also when unobserved heterogeneity is accounted for

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Bibliographic Info

Paper provided by University of Aarhus, Aarhus School of Business, Department of Economics in its series Working Papers with number 11-2.

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Length: 32 pages
Date of creation: 01 Dec 2010
Date of revision:
Handle: RePEc:hhs:aareco:2011_002

Contact details of provider:
Postal: The Aarhus School of Business, Prismet, Silkeborgvej 2, DK 8000 Aarhus C, Denmark
Phone: +45 89 486396
Fax: +45 8615 5175
Web page: http://www.asb.dk/departments/nat.aspx
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Related research

Keywords: Public R&D funding; optimal amount of R&D funds; substitutability outcome;

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References

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  1. Melitz, Marc J, 2002. "The Impact of Trade on Intra-Industry Reallocations and Aggregate Industry Productivity," CEPR Discussion Papers, C.E.P.R. Discussion Papers 3381, C.E.P.R. Discussion Papers.
  2. Imbens, Guido & Abadie, Alberto, 2008. "On the Failure of the Bootstrap for Matching Estimators," Scholarly Articles 3043415, Harvard University Department of Economics.
  3. Katrin Hussinger, 2008. "R&D and subsidies at the firm level: an application of parametric and semiparametric two-step selection models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., John Wiley & Sons, Ltd., vol. 23(6), pages 729-747.
  4. Guido Imbens & Jeffrey Wooldridge, 2008. "Recent developments in the econometrics of program evaluation," CeMMAP working papers, Centre for Microdata Methods and Practice, Institute for Fiscal Studies CWP24/08, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
  5. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," NBER Working Papers 6699, National Bureau of Economic Research, Inc.
  6. Arthur M. Diamond, 1999. "Does Federal Funding "Crowd In" Private Funding Of Science?," Contemporary Economic Policy, Western Economic Association International, vol. 17(4), pages 423-431, October.
  7. 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.
  8. Aerts, Kris & Schmidt, Tobias, 2006. "Two for the price of one? On additionality effects of R&D subsidies: A comparison between Flanders and Germany," ZEW Discussion Papers 06-63, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  9. 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.
  10. Emmanuel Duguet, 2004. "Are RαD subsidies a substitute or a complement to privately funded RαD ?. An econometric analysis at the firm level," Revue d'économie politique, Dalloz, Dalloz, vol. 0(2), pages 245-274.
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Cited by:
  1. Correa, Paulo & Andres, Luis & Borja-Vega, Christian, 2013. "The impact of government support on firm R&D investments : a meta-analysis," Policy Research Working Paper Series 6532, The World Bank.

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