Zip Code Tabulation Level Data: The Answer to Enrolling the Remaining Uninsured or Too Flawed to Be...
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Transcript of Zip Code Tabulation Level Data: The Answer to Enrolling the Remaining Uninsured or Too Flawed to Be...
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ZIP CODE TABULATION LEVEL DATA: THE ANSWER TO ENROLLING THE REMAINING UNINSURED OR TOO
FLAWED TO BE USEFUL? Brett Fried
SHADAC, University of Minnesota
American Association of Opinion Researchers
May 14, 2015
1Funded by a grant from the Robert Wood Johnson Foundation’s State Health Reform Assistance Network.
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AcknowledgmentsFunding for this work is supported by the Robert Wood Johnson Foundation State Reform Assistance Network• Collaborators:• Michel Boudreaux (University of Maryland)• Lynn Blewett (SHADAC)• Elizabeth Lukanen (SHADAC)• Karen Turner (SHADAC)
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Research QuestionsCan data be used to improve outreach for health insurance marketplaces?What analytic geography is best?What are some problems with using data from low level geographies?Are there strategies to make this data more useful?
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Where are we in terms of marketplace enrollment?
• 11.7 million at end of OEP2 • CBO--22 million by 2017• 42% of Potentially Eligible (20% IA and
70% VT)• People who were easy to enroll have
enrolled
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Three Census Geographies: Advantages of each
PUMA County ZCTA
Included in PUMS (can create custom variables from publically available files) X X
Data is timelyX (2014 data--
Sept. 2015)X (2014 data for all
counties--March 2016)X (2010-2014 data--
Dec. 2015)
Intuitive geography X
Reliable for full area population X
Neighborhood level estimatesX (
high density areas) X
Nests within other geography X
Data is annual X
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Using Administrative Data
Combining data• Currently enrolled (administrative data)• Target Population (census data)• Remaining Eligible (target pop – enrolled)
Map any administrative data that includes an address
(e.g location of application assistors, hospitals, churches)
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Using Administrative Data
Combining data• Map ZIP Codes to ZCTAs (administrative data)• Map ZCTAs to PUMAs (administrative data)• Use microdata to estimate Target Population (census
data)• Income Eligible
• Uninsured • Nongroup
• Remaining Eligible (target pop – enrolled)
Map any administrative data that includes an address
(e.g location of application assistors, hospitals, churches)
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Example: Illinois Marketplace EnrollmentTarget Pop. Enrolled Remaining Eligible
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Map 1 - Data intensive: Drill down
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Map 2 - Outreach Intensive: Counties
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Map 3 - Targeting Intensive: ZCTAs
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SummaryChoosing the best geography • Availability, timelines and reliability• The research question• Audience for the analysis
Advantage of ZIP Code level data• Captures variation between neighborhoods
Disadvantages • Less reliable• Cannot trend• Categories and variables are preset by census• Not timely
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Summary (2)Interactive maps and admin data can help• Interactive maps• Can include anything that has an address• Can include multiple geographies• Can include underlying data• Can include number and percent • Can be accessed anywhere the internet is
available
• Administrative data• Timeliness• Usefulness
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www.shadac.org@shadac
Brett Fried
Senior Research Fellow
612.624.1406
Contact Information
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