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Using Linked Survey and Administrative Records Studies to Partially Correct Survey Program Participation for Timely Policy Research Purposes

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Presentation by Michael Davern at the 2009 Joint Statistical Meetings, Washington, DC, August 2 2009.

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Using Linked Survey and Administrative Records Studies to Partially Correct Survey Program Participation for Timely Policy Research Purposes Michael Davern, Ph.D. Assistant Professor, Research Director SHADAC, Health Policy & Management University of Minnesota 2009 Joint Statistical Meetings, Washington DC August 2, 2009 Funded by a grant from the Robert Wood Johnson Foundation
Co-authors and the “SNACC” project team ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Why is imputation or correction needed? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Possible Approaches to Adjust Data for Reporting Errors: ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Data ,[object Object],[object Object],[object Object],[object Object],[object Object]
Analysis ,[object Object],[object Object],[object Object]
Analysis ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Selected covariates used in the regressions ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
NHIS imputed results versus regular survey estimates for Medicaid
NHIS imputed results versus regular survey estimates for Medicaid
CPS results: Selected state rates of Medicaid enrollment
CPS results: Selected state rates of Medicaid enrollment
CPS results: Selected demographic characteristics
Selected demographic characteristics
Discussion of adjusted results from the NHIS model ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Discussion of adjusted results from the CPS model ,[object Object],[object Object],[object Object],[object Object],[object Object]
What do we learn from both models? ,[object Object],[object Object],[object Object],[object Object]
What do we learn from both models? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Our two models could also be used to partially correct uninsurance estimates ,[object Object],[object Object],[object Object],[object Object],[object Object]
Strengths of this approach ,[object Object],[object Object],[object Object],[object Object]
Limitations of our approach ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Next steps in our SNACC project plan ,[object Object],[object Object],[object Object],[object Object]
Contact information ,[object Object],[object Object],[object Object]

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  • 1. Using Linked Survey and Administrative Records Studies to Partially Correct Survey Program Participation for Timely Policy Research Purposes Michael Davern, Ph.D. Assistant Professor, Research Director SHADAC, Health Policy & Management University of Minnesota 2009 Joint Statistical Meetings, Washington DC August 2, 2009 Funded by a grant from the Robert Wood Johnson Foundation
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  • 11. NHIS imputed results versus regular survey estimates for Medicaid
  • 12. CPS results: Selected state rates of Medicaid enrollment
  • 13. CPS results: Selected state rates of Medicaid enrollment
  • 14. CPS results: Selected demographic characteristics
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