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Learning When to Quit: An Empirical Model of Experimentation in Standards Development

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  • Bernhard Ganglmair

  • Timothy Simcoe

  • Emanuele Tarantino

Abstract

Motivated by a descriptive analysis of standards development within the Internet Engineering Task Force, we develop a dynamic discrete choice model of R&D that highlights the decision to continue or abandon a line of research. Our estimates imply that sixty percent of IETF proposals are publishable, but only one-third of those good ideas survive the review process. Increased attention and author experience are associated with faster learning. We simulate two counterfactual innovation policies: an R&D subsidy and a publication-prize. Subsidies have a larger impact on research output, though prizes perform better when accounting for researchers' opportunity costs.

Suggested Citation

  • Bernhard Ganglmair & Timothy Simcoe & Emanuele Tarantino, 2018. "Learning When to Quit: An Empirical Model of Experimentation in Standards Development," CRC TR 224 Discussion Paper Series crctr224_2018_041, University of Bonn and University of Mannheim, Germany.
    • Handle: RePEc:bon:boncrc:crctr224_2018_041
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    References listed on IDEAS

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    1. Timothy Simcoe, 2012. "Standard Setting Committees: Consensus Governance for Shared Technology Platforms," American Economic Review, American Economic Association, vol. 102(1), pages 305-336, February.
    2. Michael Roach & Wesley M. Cohen, 2013. "Lens or Prism? Patent Citations as a Measure of Knowledge Flows from Public Research," Management Science, INFORMS, vol. 59(2), pages 504-525, October.
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    Cited by:

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    2. Baron, Justus, 2020. "Counting standard contributions to measure the value of patent portfolios - A tale of apples and oranges," Telecommunications Policy, Elsevier, vol. 44(3).
    3. Baron, Justus & Kanevskaia, Olia, 2023. "Wearing multiple hats—The role of working group chairs’ affiliation in standards development," Research Policy, Elsevier, vol. 52(9).

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    More about this item

    Keywords

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    JEL classification:

    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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