Hawaii’s Uninsured Population: Estimates from the HHS 2000, 2001 Workshop I University of Hawaii October 18, 2002 Saunders Hall 515D.

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Presentation transcript:

Hawaii’s Uninsured Population: Estimates from the HHS 2000, 2001 Workshop I University of Hawaii October 18, 2002 Saunders Hall 515D

Hawaii Health Survey HHS 2000: sample size=17,183 individuals HHS 2000: sample size=17,183 individuals HHS 2001: sample size=16,938 individuals HHS 2001: sample size=16,938 individuals

DOH Estimates of Un-insurance Rates: HHS 2000, DOH 2000 UH 2000 Replication DOH 2001 UH 2001 ReplicationCaucasian6.7%6.77%7.2%7.09% Hawaiian5.1%5.13%7.5%7.53% Chinese3.1%3.11%3.1%3.15% Filipino6.6%6.55%4.9%4.93% Japanese2.9%2.89%2.3%2.29% Overall5.4%5.44%5.5%5.48% Sources: University of Hawaii. Weighted Tabulations from the HHS 2000, 2001 using STATA 7.0. Sources: University of Hawaii. Weighted Tabulations from the HHS 2000, 2001 using STATA 7.0.

HHS 2000: Missing Data

UH Estimated Un-Insurance Rate: HHS 2000

HHS 2001: Missing Data

UH Estimated Un-Insurance Rate: HHS 2001

Un-insurance Rates by Ethnicity: HHS 2000, 2001 UH 2000 UH 2001 Caucasian6.81%7.22% Hawaiian5.18%7.76% Chinese3.12%3.27% Filipino6.58%5.04% Japanese2.90%2.32% Other Pacific Islander 7.50%4.36% Other8.03%6.05% Overall5.44%5.62%

Un-Insurance Rates by Household Income: HHS 2000

Un-Insurance Rates by Household Income: HHS 2001

Un-insurance Rates by Age: HHS 2000

Un-insurance Rates by Age: HHS 2001

Un-insurance Rates by Age: HHS 2000, 2001

Un-Insurance Rates by Island: HHS Oahu4.61%4.53% Hawaii7.49%7.99% Kauai8.98%6.32% Maui8.13%9.52% Molokai10.06%7.45% Lanai2.77%3.26%

Refinements Compute associated standard errors. Compute associated standard errors.  Stratification  Clustering Compute HH income as percentage of federal poverty level. Compute HH income as percentage of federal poverty level. Estimate discrete regression model. Estimate discrete regression model.  Probit  Logit Incorporate the sampling design into the covariance matrix of the regression model. Incorporate the sampling design into the covariance matrix of the regression model.