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Incorporating Administrative Data in Survey Weights for the 2018-2022 Survey of Income and Program Participation

Author

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  • Jonathan Eggleston
  • Julia Yang

Abstract

Response rates to the Survey of Income and Program Participation (SIPP) have declined over time, raising the potential for nonresponse bias in survey estimates. A potential solution is to leverage administrative data from government agencies and third-party data providers when constructing survey weights. In this paper, we modify various parts of the SIPP weighting algorithm to incorporate such data. We create these new weights for the 2018 through 2022 SIPP panels and examine how the new weights affect survey estimates. Our results show that before weighting adjustments, SIPP respondents in these panels have higher socioeconomic status than the general population. Existing weighting procedures reduce many of these differences. Comparing SIPP estimates between the production weights and the administrative data-based weights yields changes that are not uniform across the joint income and program participation distribution. Unlike other Census Bureau household surveys, there is no large increase in nonresponse bias in SIPP due to the COVID-19 Pandemic. In summary, the magnitude and sign of nonresponse bias in SIPP is complicated, and the existing weighting procedures may change the sign of nonresponse bias for households with certain incomes and program benefit statuses.

Suggested Citation

  • Jonathan Eggleston & Julia Yang, 2024. "Incorporating Administrative Data in Survey Weights for the 2018-2022 Survey of Income and Program Participation," Working Papers 24-58, Center for Economic Studies, U.S. Census Bureau.
  • Handle: RePEc:cen:wpaper:24-58
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    File URL: https://www2.census.gov/library/working-papers/2024/adrm/ces/CES-WP-24-58.pdf
    File Function: First version, 2024
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    References listed on IDEAS

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    1. repec:mpr:mprres:4937 is not listed on IDEAS
    2. Keller Andrew & Mule Vincent T. & Morris Darcy Steeg & Konicki Scott, 2018. "A Distance Metric for Modeling the Quality of Administrative Records for Use in the 2020 U.S. Census," Journal of Official Statistics, Sciendo, vol. 34(3), pages 599-624, September.
    3. repec:mpr:mprres:4780 is not listed on IDEAS
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