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Testing biasedness of self-reported microbusiness innovation in the annual business survey

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  • Luyi Han
  • Zheng Tian
  • Timothy R Wojan
  • Stephan J Goetz

Abstract

This study tests for potential bias in self-reported innovation due to the inclusion of a research and development (R&D) module that only microbusinesses (less than 10 employees) receive in the Annual Business Survey (ABS). Previous research found that respondents to combined innovation/R&D surveys reported innovation at lower rates than respondents to innovation-only surveys. A regression discontinuity design is used to test whether microbusinesses, which constitute a significant portion of U.S. firms with employees, are less likely to report innovation compared to other small businesses. In the vicinity of the 10-employee threshold, the study does not detect statistically significant biases for new-to-market and new-to-business product innovation. Statistical power analysis confirms the nonexistence of biases with a high power. Comparing the survey design of ABS to earlier combined innovation/R&D surveys provides valuable insights for the proposed integration of multiple Federal surveys into a single enterprise platform survey. The findings also have important implications for the accuracy and reliability of innovation data used as an input to policymaking and business development strategies in the United States.

Suggested Citation

  • Luyi Han & Zheng Tian & Timothy R Wojan & Stephan J Goetz, 2024. "Testing biasedness of self-reported microbusiness innovation in the annual business survey," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-19, January.
    • Handle: RePEc:plo:pone00:0296667
    DOI: 10.1371/journal.pone.0296667
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    References listed on IDEAS

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    1. Alberto Abadie, 2020. "Statistical Nonsignificance in Empirical Economics," American Economic Review: Insights, American Economic Association, vol. 2(2), pages 193-208, June.
    2. Benjamin F. Jones & Lawrence H. Summers, 2020. "A Calculation of the Social Returns to Innovation," NBER Chapters, in: Innovation and Public Policy, pages 13-59, National Bureau of Economic Research, Inc.
    3. Imbens, Guido W. & Lemieux, Thomas, 2008. "Regression discontinuity designs: A guide to practice," Journal of Econometrics, Elsevier, vol. 142(2), pages 615-635, February.
    4. Bronzini, Raffaello & Piselli, Paolo, 2016. "The impact of R&D subsidies on firm innovation," Research Policy, Elsevier, vol. 45(2), pages 442-457.
    5. Sebastian Calonico & Matias D Cattaneo & Max H Farrell, 2020. "Optimal bandwidth choice for robust bias-corrected inference in regression discontinuity designs," The Econometrics Journal, Royal Economic Society, vol. 23(2), pages 192-210.
    6. Matias Cattaneo & Rocio Titiunik & Gonzalo Vazquez-Bare, 2019. "Power calculations for regression-discontinuity designs," Stata Journal, StataCorp LLC, vol. 19(1), pages 210-245, March.
    7. Wang, Yanbo & Li, Jizhen & Furman, Jeffrey L., 2017. "Firm performance and state innovation funding: Evidence from China’s innofund program," Research Policy, Elsevier, vol. 46(6), pages 1142-1161.
    8. Cirera, Xavier & Muzi, Silvia, 2020. "Measuring innovation using firm-level surveys: Evidence from developing countries✰," Research Policy, Elsevier, vol. 49(3).
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