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The Creation and Use of the SIPP Synthetic Beta v7.0

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Listed:
  • Gary Benedetto
  • Jordan C. Stanley
  • Evan Totty

Abstract

This paper reports on the creation of a fully synthetic Census Bureau data product called the SIPP Synthetic Beta (SSB). It serves as an update to a previous paper, Benedetto, Stinson, and Abowd (2013), which described version 5.0 of the SSB. Our purpose is to inform users of the SSB about how the file was created and to provide an example of the application of data synthesis methods to those doing research in this area. We also hope to provide some guidance for other organizations which might be interested in creating their own synthetic data products.

Suggested Citation

  • Gary Benedetto & Jordan C. Stanley & Evan Totty, 2018. "The Creation and Use of the SIPP Synthetic Beta v7.0," CES Technical Notes Series 18-03, Center for Economic Studies, U.S. Census Bureau.
    • Handle: RePEc:cen:tnotes:18-03
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    References listed on IDEAS

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    1. Satkartar K. Kinney & Jerome P. Reiter & Arnold P. Reznek & Javier Miranda & Ron S. Jarmin & John M. Abowd, 2011. "Towards Unrestricted Public Use Business Microdata: The Synthetic Longitudinal Business Database," International Statistical Review, International Statistical Institute, vol. 79(3), pages 362-384, December.
    2. Reiter, Jerome P. & Raghunathan, Trivellore E., 2007. "The Multiple Adaptations of Multiple Imputation," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 1462-1471, December.
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    Cited by:

    1. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2019. "Multidemsional Skills and Returns to Schooling: Evidence from an Interactive Fixed Effects Aproach and a Linked Survey-Administrative Dataset," Purdue University Economics Working Papers 1316, Purdue University, Department of Economics.
    2. Melissa C. Chow & Teresa C. Fort & Christopher Goetz & Nathan Goldschlag & James Lawrence & Elisabeth Ruth Perlman & Martha Stinson & T. Kirk White, 2021. "Redesigning the Longitudinal Business Database," NBER Working Papers 28839, National Bureau of Economic Research, Inc.
    3. Hampton, Matt & Totty, Evan, 2023. "Minimum wages, retirement timing, and labor supply," Journal of Public Economics, Elsevier, vol. 224(C).
    4. Jorge Cisneros & Timothy Wojan & Matthew Williams & Jennifer Ozawa & Robert Chew & Kimberly Janda & Timothy Navarro & Michael Floyd & Christine Task & Damon Streat, 2025. "Developing synthetic microdata through machine learning for firm-level business surveys," Papers 2512.05948, arXiv.org, revised Dec 2025.
    5. John M. Abowd & Ian M. Schmutte & William N. Sexton & Lars Vilhuber, 2019. "Why the Economics Profession Must Actively Participate in the Privacy Protection Debate," AEA Papers and Proceedings, American Economic Association, vol. 109, pages 397-402, May.
    6. Mohitosh Kejriwal & Xiaoxiao Li & Evan Totty, 2020. "Multidimensional skills and the returns to schooling: Evidence from an interactive fixed‐effects approach and a linked survey‐administrative data set," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 35(5), pages 548-566, August.

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