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Evaluating innovation policy : a structural treatment effect model of R&D subsidies

Author

Listed:
  • Takalo, Tuomas
  • Tanayama, Tanja
  • Toivanen, Otto

Abstract

This paper studies the welfare effects of R&D subsidies. We develop a model of continuous optimal treatment with outcome heterogeneity where the treatment outcome depends on applicant investment. The model takes into account heterogeneous application costs and identifies the treatment effect on the public agency running the programme. Under the assumption of a welfare-maximizing agency, we identify general equilibrium treatment effects. Applyiing our model to R&D project-level data we find substantial treatment effect heterogeneity. Agency-specific treatment effects are smaller than private treatment effects. We find that the rate of return on subsidies for the agency is 30-50%. Keywords: applications, effort, investment, R&D, selection, subsidies, treatment programme, treatment effects, welfare JEL classification numbers: 038, 031, L53, C31

Suggested Citation

  • Takalo, Tuomas & Tanayama, Tanja & Toivanen, Otto, 2008. "Evaluating innovation policy : a structural treatment effect model of R&D subsidies," Research Discussion Papers 7/2008, Bank of Finland.
  • Handle: RePEc:bof:bofrdp:2008_007
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    References listed on IDEAS

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    Cited by:

    1. Criscuolo, Chiara & Martin, Ralf & Overman, Henry & Van Reenen, John, 2012. "The Causal Effects of an Industrial Policy," IZA Discussion Papers 6323, Institute for the Study of Labor (IZA).
    2. repec:taf:applec:v:50:y:2018:i:12:p:1324-1341 is not listed on IDEAS
    3. Dirk Czarnitzki & Katrin Hussinger, 2018. "Input and output additionality of R&D subsidies," Applied Economics, Taylor & Francis Journals, vol. 50(12), pages 1324-1341, March.

    More about this item

    JEL classification:

    • L53 - Industrial Organization - - Regulation and Industrial Policy - - - Enterprise Policy
    • C31 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models

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