Home › Survey research methods ›

Imputation

Using Linked Survey & Admin. Records Studies to Partially Correct Survey Program Part. for Timely Policy Research Purposes

Publication Year: 
2009

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

For more information on this topic, see SHADAC's technical report, "Medicaid Under-reporting in the CPS and One Approach for a Partial Correction," which describes parameters from two logistic regression models used to predict the probability that the Medicaid administrative data imply that a CPS sample member actually had Medicaid. Click here to view the report.

A Correction for the Full-Supplement Imputation Bias in the Current Population Survey’s Annual and Social Economic Supplement

Publication Year: 
2009

Presentation by Jeanette Ziegenfuss at AAPOR in Hollywood, FL, May 16 2009.

Imputation: SHADAC's Case Study with Colorado

Publication Year: 
2005

Summary of SHADAC's work with Colorado to impute household income on their survey of health insurance coverage.  November 2005.

Missing the Mark? Examining Imputation Bias in the CPS’s State Income and Health Insurance Coverage Estimates

Publication Year: 
2004

Davern, M., L. A. Blewett, B. Bershadsky, and N. Arnold. 2004. “Missing the Mark? Examining Imputation Bias in the Current Population Survey’s State Income and Health Insurance Coverage Estimates.” Journal of Official Statistics 20(3):519-49.

Are the CPS Uninsurance Estimates Too High? An Examination of Imputation

Publication Year: 
2007

Davern, M., H. Rodin, K. T. Call, and L. A. Blewett. 2007. “Are the CPS Uninsurance Estimates Too High? An Examination of Imputation.” Health Services Research 42(5): 2038-2055.

Syndicate content