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Selection Or Self-Rejection? Applications Into A Treatment

Author

Listed:
  • Tuomas Takalo

    (Bank of Finland)

  • Tanja Tanayama

    (VTT Research)

  • Otto Toivanen

    (HECER)

Abstract

We develop a new method to estimate the returns to R&D, their distribution, and their determinants. We model a continuous optimal treatment with outcome heterogeneity, where the treatment outcome depends on the applicant’s investment. The model takes into account application costs, and isolates the effects of the treatment on the public agency running the treatment program. Under the assumption of a welfare-maximizing agency, we identify general equilibrium treatment effects and social returns to R&D. The model yields a restriction on the application equation that helps identify the parameters of the cost-of- application function. The proposed estimation strategy is applied to project level data from the granting process of R&D subsidies. We find that larger firms have higher marginal profitability of R&D. Rates of return on R&D are high and their distribution skew. Agency specific returns are non-monotonic in private returns. Project level spillovers are linear in R&D. The median increase from subsidies in the agency’s utility not appropriated by the applicant is 16 000€. Application costs increase with the profitability shock and ignoring application costs severely biases the estimated rates of return upwards.

Suggested Citation

  • Tuomas Takalo & Tanja Tanayama & Otto Toivanen, 2005. "Selection Or Self-Rejection? Applications Into A Treatment," Industrial Organization 0510002, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpio:0510002
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    File URL: https://econwpa.ub.uni-muenchen.de/econ-wp/io/papers/0510/0510002.pdf
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    Cited by:

    1. Daniel Chudnovsky & Andrés López & Martín Rossi & Diego Ubfal, 2006. "Evaluating A Program of Public Funding of Private Innovation Activities. An Econometric Study of FONTAR in Argentina," OVE Working Papers 1606, Inter-American Development Bank, Office of Evaluation and Oversight (OVE).
    2. 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., vol. 23(6), pages 729-747.
    3. Gustafsson, Anders & Gustavsson Tingvall, Patrik & Halvarsson, Daniel, 2017. "Subsidy Entrepreneurs," Ratio Working Papers 303, The Ratio Institute.
    4. Bernd Ebersberger, 2011. "Public funding for innovation and the exit of firms," Journal of Evolutionary Economics, Springer, vol. 21(3), pages 519-543, August.

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    More about this item

    Keywords

    applications; effort; investment; rate of return; R&D; R&D return distribution selection; subsidies; treatment program; treatment effects; welfare;
    All these keywords.

    JEL classification:

    • L - Industrial Organization

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