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Final Report on the Effects of Sample Attrition on Estimates of Channeling's Impacts
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Randall S. Brown, Peter A. Mossel, Jennifer Schore, Nancy Holden and Judy Roberts
Mathematica Policy Research, Inc.
The paper was written as part of contract #HHS-100-80-0157 between the U.S. Department of Health and Human Services (HHS), Office of Social Services Policy (now the Office of Disability, Aging and Long-Term Care Policy (DALTCP)) and Mathematica Policy Research, Inc., and contract #HHS-100-80-0133 between DALTCP and Temple University. Additional funding was provided by the Administration on Aging and Health Care Financing Administration (now the Centers for Medicare and Medicaid Services). For additional information about this subject, you can visit the DALTCP home page at http://aspe.hhs.gov/_/office_specific/daltcp.cfm or contact the office at HHS/ASPE/DALTCP, Room 424E, H.H. Humphrey Building, 200 Independence Avenue, S.W., Washington, D.C. 20201. The e-mail address is: webmaster.DALTCP@hhs.gov. The Project Officer was Robert Clark.
This report was prepared for the Department of Health and Human Services under Contract Number HHS-100-80-0157. The DHHS project officer is Ms. Mary Harahan, Office of the Secretary, Department of Health and Human Services, Room 447F, Hubert H. Humphrey Building, Washington, D.C. 20201. The opinions and views expressed in this report are those of the authors. They do not necessarily reflect the views of the Department of Health and Human Services, the contractor or any other funding organization.
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ACKNOWLEDGMENTS
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EXECUTIVE SUMMARY
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I. INTRODUCTION
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II. THE NATURE AND EXTENT OF ATTRITION IN THE ANALYSIS SAMPLES
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III. HOW ATTRITION CAN LEAD TO BIAS AND A STATISTICAL PROCEDURE FOR ELIMINATING THE BIAS
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IV. USE OF MEDICARE DATA TO ESTIMATE THE EFFECTS OF ATTRITION ON IMPACT ESTIMATES
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V. ESTIMATES OF ATTRITION BIAS USING THE STATISTICAL CORRECTION PROCEDURES
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VI. SUMMARY AND CONCLUSIONS
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REFERENCES
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APPENDIX
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NOTES
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