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Experimental Innovation Policy

In: Innovation Policy and the Economy, Volume 20

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  • Albert Bravo-Biosca

Abstract

Experimental approaches are increasingly being adopted across many policy fields, but innovation policy has been lagging. This paper reviews the case for policy experimentation in this field, describes the different types of experiments that can be undertaken, discusses some of the unique challenges to the use of experimental approaches in innovation policy, and summarizes some of the emerging lessons, with a focus on randomized trials. The paper concludes describing how at the Innovation Growth Lab we have been working with governments across the OECD to help them overcome the barriers to policy experimentation in order to make their policies more impactful.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Albert Bravo-Biosca, 2019. "Experimental Innovation Policy," NBER Chapters, in: Innovation Policy and the Economy, Volume 20, pages 191-232, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberch:14262
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    References listed on IDEAS

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    Cited by:

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    2. F.C. Stam, 2018. "Enabling Creative Destruction: An Entrepreneurial Ecosystem Approach to Industrial Policy," Working Papers 18-05, Utrecht School of Economics.
    3. Maria Savona, 2019. "The Value of Data:Towards a Framework to Redistribute It," SPRU Working Paper Series 2019-21, SPRU - Science Policy Research Unit, University of Sussex Business School.
    4. Kivimaa, Paula & Rogge, Karoline S., 2022. "Interplay of policy experimentation and institutional change in sustainability transitions: The case of mobility as a service in Finland," Research Policy, Elsevier, vol. 51(1).
    5. Pietro Santoleri & Andrea Mina & Alberto Di Minin & Irene Martelli, 2020. "The causal effects of R&D grants: evidence from a regression discontinuity," LEM Papers Series 2020/18, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.

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    More about this item

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • O25 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Industrial Policy
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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