Using case prioritization to reduce moving attritors and increase representation for the Survey of Income and Program Participation (SIPP)
Jul 27, 11:00
The Survey of Income and Program Participation (SIPP) is a longitudinal panel household survey conducted by the U.S. Census Bureau. Each panel is about four years, with about 53,000 households sampled in 2014. SIPP data provide the most extensive information available on how the nation’s economic well-being changes over time, which has been SIPP’s defining characteristic since its inception in 1983. Case prioritization can reduce the risk for non-response bias (Peytchev et al 2010). In 2016 and 2017, the SIPP program tested case prioritization to attain better data quality. As with many longitudinal studies, attrition is problematic for the SIPP. Unlike many other surveys, SIPP follows every member of every respondent household regardless of whether they have moved from the household. SIPP used data linkage to identify likely movers in order reduce the number of attritors due to moving. Additionally, the survey used modelled paradata and prior wave data to manage interviewers so that they attain better representation with populations related to income and program participation without overall response suffering. This research shares the details of the methodology and results of the experiments.