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The Impact of National Research Funds: A Regression Discontinuity Approach to the Chilean FONDECYT

Author

Listed:
  • Jose Miguel Benavente
  • Gustavo Crespi
  • Lucas Figal Garone
  • Alessandro Maffioli

Abstract

This paper analyzes the role of National Research Funds in promoting scientific production in emerging economies. The study focuses on the impact of the Chilean National Science and Technology Research Fund (FONDECYT). The analysis uses data drawn from international sources of bibliometric information combined with the administrative records of the program’s executing unit. To measure the program’s impact, we implement a Regression Discontinuity (RD) design on principal researchers who applied for funding between 1988 and 1997 considering as outcomes both quantity (publications up to 2002) and quality (citations up to 2005) of their scientific production. Our results show significant and positive impact in terms of publications, but no impact in terms of quality of scientific production in the proximity of the program’s threshold ranking.

Suggested Citation

  • Jose Miguel Benavente & Gustavo Crespi & Lucas Figal Garone & Alessandro Maffioli, 2012. "The Impact of National Research Funds: A Regression Discontinuity Approach to the Chilean FONDECYT," Working Papers wp356, University of Chile, Department of Economics.
    • Handle: RePEc:udc:wpaper:wp356
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    More about this item

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • H43 - Public Economics - - Publicly Provided Goods - - - Project Evaluation; Social Discount Rate
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models

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