Under-Reporting of Medicaid and Welfare in the Current Population Survey

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Title Page

Preface

Table of Contents

List of Tables

List of Figures

Summary

The Current Population Survey (CPS), Under-Reporting, and Matching
The Magnitude of Under-Reporting And Our Imputation Model
The Effects of Under-Reporting on Estimates of Medi-Cal Enrollment Rates
The Effects of Under-Reporting on Estimates of Uninsurance
Summary

Acknowledgments

Glossary, List of Symbols, etc.

1. Introduction

   Plan of the Report
   Previous Literature on Under-Reporting

2. Medi-Cal, the CPS, The MEDS, and Under-Reporting

   The Medi-Cal Program
   The Medi-Cal Eligibility Data System (MEDS)
   The Current Population Survey (CPS)
   Levels and Trends In Mis-Reporting
   Discussion

3. The Matched Data

   Matching
   Simple Reporting Rates
   Who Mis-reports?
   “Behavioral Regressions” and “Imputational Regressions”
   Understanding the Reporting Errors
   CPS Reference Period
   Time Trends
   CPS Imputations
   Conclusion

4. Extrapolating to the Full Data

   The Identification Problem
   Imputing the Data
   Stratifying
   Conclusion

5. New Estimates of the Uninsured

   Dual Reporting
   Our Approach
   Revised Estimates of Uninsurance, By Demographic Group

6. New Estimates of Medi-Cal and Welfare Enrollment Rates

   Pooled Results
   Discussion

7. Conclusion

Appendix A. Detailed Notes on File Construction and Matching

A.1. The Raw Data
A.2. Matching the CPS and the MEDS
A.3. Verifying Matches

Appendix B. Regression Specification for Response Errors

B.1 The Basic Approach
B.2 Detailed Logistic Regression Results

Bibliography