IDEAS home Printed from https://ideas.repec.org/a/bla/econom/v76y2009i302p264-281.html
   My bibliography  Save this article

Private Investor Participation and Commercialization Rates for Government‐sponsored Research and Development: Would a Prediction Market Improve the Performance of the SBIR Programme?

Author

Listed:
  • ALBERT N. LINK
  • JOHN T. SCOTT

Abstract

An objective of the US Small Business Innovation Research (SBIR) programme is the private sector commercialization of funded R&D projects. However, our estimate of the actual or expected probability of commercialization of such R&D is fairly low; our analysis of Department of Defense (DoD) Phase II awards suggests that the estimated probability of commercialization is only 0.47. We investigate econometrically whether outside private investors have useful information about proposed SBIR projects' prospects for commercialization. Our findings suggest that they do, thereby providing support for the possibility that a prediction market could improve the performance of the SBIR programme.

Suggested Citation

  • Albert N. Link & John T. Scott, 2009. "Private Investor Participation and Commercialization Rates for Government‐sponsored Research and Development: Would a Prediction Market Improve the Performance of the SBIR Programme?," Economica, London School of Economics and Political Science, vol. 76(302), pages 264-281, April.
    • Handle: RePEc:bla:econom:v:76:y:2009:i:302:p:264-281
    DOI: 10.1111/j.1468-0335.2008.00740.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1468-0335.2008.00740.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1468-0335.2008.00740.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Manski, Charles F., 2006. "Interpreting the predictions of prediction markets," Economics Letters, Elsevier, vol. 91(3), pages 425-429, June.
    2. Martin, Stephen & Scott, John T., 2000. "The nature of innovation market failure and the design of public support for private innovation," Research Policy, Elsevier, vol. 29(4-5), pages 437-447, April.
    3. Kohn, Meir & Scott, John T, 1982. "Scale Economies in Research and Development: The Schumpeterian Hypothesis," Journal of Industrial Economics, Wiley Blackwell, vol. 30(3), pages 239-249, March.
    4. Justin Wolfers & Eric Zitzewitz, 2006. "Interpreting prediction market prices as probabilities," Working Paper Series 2006-11, Federal Reserve Bank of San Francisco.
    5. John Scott, 2000. "The Directions for Technological Change: Alternative Economic Majorities and Opportunity Costs," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 17(1), pages 1-16, August.
    6. David B. Audretsch & Albert N. Link & John T. Scott, 2013. "Public/private technology partnerships: evaluating SBIR-supported research," Chapters, in: Public Support of Innovation in Entrepreneurial Firms, chapter 5, pages 91-104, Edward Elgar Publishing.
    7. Justin Wolfers & Eric Zitzewitz, 2004. "Prediction Markets," Journal of Economic Perspectives, American Economic Association, vol. 18(2), pages 107-126, Spring.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Wolfers, Justin & Zitzewitz, Eric, 2006. "Prediction Markets in Theory and Practice," CEPR Discussion Papers 5578, C.E.P.R. Discussion Papers.
    2. Mikuláš Gangur & Miroslav Plevný, 2014. "Tools for Consumer Rights Protection in the Prediction of Electronic Virtual Market and Technological Changes," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 16(36), pages 578-578, May.
    3. Coulomb, Renaud & Sangnier, Marc, 2014. "The impact of political majorities on firm value: Do electoral promises or friendship connections matter?," Journal of Public Economics, Elsevier, vol. 115(C), pages 158-170.
    4. Snowberg, Erik & Wolfers, Justin & Zitzewitz, Eric, 2013. "Prediction Markets for Economic Forecasting," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 657-687, Elsevier.
    5. Paul J. Healy & Sera Linardi & J. Richard Lowery & John O. Ledyard, 2010. "Prediction Markets: Alternative Mechanisms for Complex Environments with Few Traders," Management Science, INFORMS, vol. 56(11), pages 1977-1996, November.
    6. John Scott, 2009. "Cost-benefit analysis for global public–private partnerships: an evaluation of the desirability of intergovernmental organizations entering into public–private partnerships," The Journal of Technology Transfer, Springer, vol. 34(6), pages 525-559, December.
    7. RYan Oprea & David Porter & Chris Hibbert & Robin Hanson & Dorina Tila, 2008. "Can Manipulators Mislead Prediction Market Observers?," Working Papers 08-01, Chapman University, Economic Science Institute.
    8. Camerer, Colin & Dreber, Anna & Forsell, Eskil & Ho, Teck-Hua & Huber, Jurgen & Johannesson, Magnus & Kirchler, Michael & Almenberg, Johan & Altmejd, Adam & Chan, Taizan & Heikensten, Emma & Holzmeist, 2016. "Evaluating replicability of laboratory experiments in Economics," MPRA Paper 75461, University Library of Munich, Germany.
    9. Joyce E. Berg & John Geweke & Thomas A. Rietz, 2010. "Memoirs of an indifferent trader: Estimating forecast distributions from prediction markets," Quantitative Economics, Econometric Society, vol. 1(1), pages 163-186, July.
    10. Tongkui Yu & Shu-Heng Chen, 2011. "Agent-Based Modeling of the Prediction Markets," ASSRU Discussion Papers 1119, ASSRU - Algorithmic Social Science Research Unit.
    11. Dorina Tila & David Porter, 2008. "Group Prediction in Information Markets With and Without Trading Information and Price Manipulation Incentives," Working Papers 08-06, Chapman University, Economic Science Institute.
    12. Boulu-Reshef, Béatrice & Comeig, Irene & Donze, Robert & Weiss, Gregory D., 2016. "Risk aversion in prediction markets: A framed-field experiment," Journal of Business Research, Elsevier, vol. 69(11), pages 5071-5075.
    13. Coulomb, Renaud & Sangnier, Marc, 2014. "The impact of political majorities on firm value: Do electoral promises or friendship connections matter?," Journal of Public Economics, Elsevier, vol. 115(C), pages 158-170.
    14. Johan Almenberg & Ken Kittlitz & Thomas Pfeiffer, 2009. "An Experiment on Prediction Markets in Science," PLOS ONE, Public Library of Science, vol. 4(12), pages 1-7, December.
    15. Dindo, Pietro & Massari, Filippo, 2020. "The wisdom of the crowd in dynamic economies," Theoretical Economics, Econometric Society, vol. 15(4), November.
    16. Siemroth, Christoph, 2014. "Why prediction markets work : The role of information acquisition and endogenous weighting," Working Papers 14-02, University of Mannheim, Department of Economics.
    17. Justin Wolfers & Eric Zitzewitz, 2006. "Interpreting prediction market prices as probabilities," Working Paper Series 2006-11, Federal Reserve Bank of San Francisco.
    18. Fabio Milani, 2010. "Public option and private profits," Applied Health Economics and Health Policy, Springer, vol. 8(3), pages 155-165, May.
    19. Dai, Min & Jia, Yanwei & Kou, Steven, 2021. "The wisdom of the crowd and prediction markets," Journal of Econometrics, Elsevier, vol. 222(1), pages 561-578.
    20. Agustin Casas & Yarine Fawaz & Andre Trindade, 2016. "Surprise Me If You Can: The Influence Of Newspaper Endorsements In U.S. Presidential Elections," Economic Inquiry, Western Economic Association International, vol. 54(3), pages 1484-1498, July.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:econom:v:76:y:2009:i:302:p:264-281. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/lsepsuk.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.