Abstract Details
Activity Number:
|
74
|
Type:
|
Topic Contributed
|
Date/Time:
|
Sunday, August 4, 2013 : 4:00 PM to 5:50 PM
|
Sponsor:
|
Government Statistics Section
|
Abstract - #308556 |
Title:
|
Measuring Transitions, Spells of Uninsurance, and Churning Using the Redesigned CPS
|
Author(s):
|
Brett Fried*+ and Joanne Pascale and Michel Boudreaux
|
Companies:
|
University of Minnesota, SHADAC and US Census Bureau and State Health Access Data Assistance Center
|
Keywords:
|
CPS ;
health insurance ;
spells ;
reform ;
churn
|
Abstract:
|
The primary goal of the Current Population Survey (CPS) redesign was to improve reporting of past calendar year health coverage. The methods used to accomplish that goal produced an added benefit: the redesign captures month-level coverage for each plan type reported over a 15 month period. This enables a rich analysis of the number and duration of spells of insurance and uninsurance, transitions between coverage types, and churning on and off the same type of coverage. After federal health reform takes effect, the capacity to understand the shifts between Medicaid, subsidized exchanges, and private coverage will be particularly useful. Other surveys such as the National Health Interview Survey (NHIS), the Survey of Income and Program Participation (SIPP)and the Medical Expenditure Panel Survey (MEPS/HC) do include data on duration of coverage but, unlike the CPS redesign, none of these surveys is designed to produce state estimates. This paper presents an analysis of coverage duration and transitions from a field test of the 2010 CPS redesign, and it compares estimates to the SIPP. The analysis explores the potential usefulness and face validity of the redesigned CPS estimates.
|
Authors who are presenting talks have a * after their name.
Back to the full JSM 2013 program
|
2013 JSM Online Program Home
For information, contact jsm@amstat.org or phone (888) 231-3473.
If you have questions about the Continuing Education program, please contact the Education Department.
The views expressed here are those of the individual authors and not necessarily those of the JSM sponsors, their officers, or their staff.
Copyright © American Statistical Association.