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An Examination of the Informational Value of Self-Reported Innovation Questions

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  • Zheng Tian
  • Timothy R. Wojan
  • Stephan J. Goetz

Abstract

Self-reported innovation measures provide an alternative means for examining the economic performance of firms or regions. While European researchers have been exploiting the data from the Community Innovation Survey for over two decades, uptake of US innovation data has been much slower. This paper uses a restricted innovation survey designed to differentiate incremental innovators from more far-ranging innovators and compares it to responses in the Annual Survey of Entrepreneurs (ASE) and the Business R&D and Innovation Survey (BRDIS) to examine the informational value of these positive innovation measures. The analysis begins by examining the association between the incremental innovation measure in the Rural Establishment Innovation Survey (REIS) and a measure of the inter-industry buying and selling complexity. A parallel analysis using BRDIS and ASE reveals such an association may vary among surveys, providing additional insight on the informational value of various innovation profiles available in self-reported innovation surveys.

Suggested Citation

  • Zheng Tian & Timothy R. Wojan & Stephan J. Goetz, 2022. "An Examination of the Informational Value of Self-Reported Innovation Questions," Working Papers 22-46, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:wpaper:22-46
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    File URL: https://www2.census.gov/ces/wp/2022/CES-WP-22-46.pdf
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    References listed on IDEAS

    as
    1. Pryor,Frederic L., 1996. "Economic Evolution and Structure," Cambridge Books, Cambridge University Press, number 9780521559249.
    2. Wojan, Timothy R. & Crown, Daniel & Rupasingha, Anil, 2018. "Varieties of innovation and business survival: Does pursuit of incremental or far-ranging innovation make manufacturing establishments more resilient?," Research Policy, Elsevier, vol. 47(9), pages 1801-1810.
    3. Wojan, Tim & Parker, Timothy, 2017. "Innovation in the Rural Nonfarm Economy: Its Effect on Job and Earnings Growth, 2010-2014," Economic Research Report 264596, United States Department of Agriculture, Economic Research Service.
    4. Lars Bo Jeppesen & Karim R. Lakhani, 2010. "Marginality and Problem-Solving Effectiveness in Broadcast Search," Organization Science, INFORMS, vol. 21(5), pages 1016-1033, October.
    5. Timothy R Wojan & Timothy F Slaper, 2020. "Are the problem spaces of economic actors increasingly virtual? What geo-located web activity might tell us about economic dynamism," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-22, September.
    6. Pryor,Frederic L., 1996. "Economic Evolution and Structure," Cambridge Books, Cambridge University Press, number 9780521550970.
    7. Timothy R Wojan & Bonnie Nichols, 2018. "Design, innovation, and rural creative places: Are the arts the cherry on top, or the secret sauce?," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-23, February.
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    More about this item

    Keywords

    Self-reported innovation; substantive and incremental innovation; latent innovation measure; logistic regression;
    All these keywords.

    JEL classification:

    • O00 - Economic Development, Innovation, Technological Change, and Growth - - General - - - General
    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

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