Presentation: An Introduction to the SIPP Synthetic Beta
Monti, Holly; Reeder, Lori
An introduction and overview of the SIPP Synthetic Beta. The SIPP Synthetic Beta (SSB) is a Census Bureau data product that integrates person-level micro-data from a household survey (SIPP survey data) with W-2 earnings and OASDI benefits data. Census has synthesized the data to preserve the underlying covariate relationships between variables while protecting respondent confidentiality. Unlike the original, administrative data, the SSB is publicly available. The Census Bureau offers all SSB users the opportunity to submit their programs for validation on the internal, confidential version of these data. As part of this workshop, participants will learn how to prepare programs for submission to the validation process and how to request the release of research results from Census disclosure officers. This experience will help participants not only begin their SSB research projects but also see them through to successful completion after the seminar has finished. Lori Reeder and Holly Monti of the U.S. Census Bureau will lead the workshop, in collaboration with researchers at the University of Michigan, the U.S. Census Bureau, Cornell University, and other nationally recognized SIPP scholars.
NSF grants SES-1131500, SES-1131848, SES-1042181 and BCS-0941226, and through a grant from the Alfred P. Sloan Foundation.
Presented at the Workshop " Conducting Research using the Survey of Income and Program Participation" at the University of Michigan, August 8, 2016
Attribution-ShareAlike 4.0 International
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