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Automating Response Evaluation For Franchising Questions On The 2017 Economic Census

Author

Listed:
  • Joseph Staudt
  • Yifang Wei
  • Lisa Singh
  • Shawn Klimek
  • J. Bradford Jensen
  • Andrew L. Baer

Abstract

Between the 2007 and 2012 Economic Censuses (EC), the count of franchise-affiliated establishments declined by 9.8%. One reason for this decline was a reduction in resources that the Census Bureau was able to dedicate to the manual evaluation of survey responses in the franchise section of the EC. Extensive manual evaluation in 2007 resulted in many establishments, whose survey forms indicated they were not franchise-affiliated, being recoded as franchise-affiliated. No such evaluation could be undertaken in 2012. In this paper, we examine the potential of using external data harvested from the web in combination with machine learning methods to automate the process of evaluating responses to the franchise section of the 2017 EC. Our method allows us to quickly and accurately identify and recode establishments have been mistakenly classified as not being franchise-affiliated, increasing the unweighted number of franchise-affiliated establishments in the 2017 EC by 22%-42%.

Suggested Citation

  • Joseph Staudt & Yifang Wei & Lisa Singh & Shawn Klimek & J. Bradford Jensen & Andrew L. Baer, 2019. "Automating Response Evaluation For Franchising Questions On The 2017 Economic Census," Working Papers 19-20, Center for Economic Studies, U.S. Census Bureau.
    • Handle: RePEc:cen:wpaper:19-20
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    File URL: https://www2.census.gov/ces/wp/2019/CES-WP-19-20.pdf
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    References listed on IDEAS

    as
    1. John Cuffe & Nathan Goldschlag, 2018. "Squeezing More Out of Your Data: Business Record Linkage with Python," Working Papers 18-46, Center for Economic Studies, U.S. Census Bureau.
    2. Bethany DeSalvo & Frank F. Limehouse & Shawn D. Klimek, 2016. "Documenting the Business Register and Related Economic Business Data," Working Papers 16-17, Center for Economic Studies, U.S. Census Bureau.
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    More about this item

    JEL classification:

    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • L8 - Industrial Organization - - Industry Studies: Services

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