SlideShare a Scribd company logo
1 of 27
Download to read offline
State Variation in Health Insurance
Coverage Among Same-Sex Couples
Gilbert Gonzales
Gender and Health Interest Group Meeting
Orlando, FL
June 23, 2012




             Funded by a grant from the Robert Wood Johnson Foundation
Background: Who are same-sex couples?
โ€ข Sexual minorities
     Gay, Lesbian, Bisexual, Transgender (GLBT)
โ€ข Partnered
     Married
     Civil Union
     Domestic Partnership
     Unmarried, but cohabitating



                                                  2
States differ in their policies on same-sex couples




                                                      3
Why does marriage matter?
โ€ข Most Americans are covered through a family
  memberโ€™s employer health plan
        ๏‚ง โ€œLegalโ€ spouse
        ๏‚ง Dependent children




  Example: University of Minnesota, Office of Human Resources


                                                                4
The role of employers
Large employers (500+ employees) offering same-sex domestic partner
benefits

                                                                                  39%   39%
                                                                      34%   34%
                                                             29%
                                                   27%
                                          24%
                                21%
                       19%
             16%
    12%




    2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010
   Source: 2011 Mercer National Survey of Employer-Sponsored Health Plans


                                                                                              5
Improvements vary by region
Same-sex domestic partner coverage among large employers (500+ employees)

                              64%
                                                                  59%                     2009
                        52%                                                               2010
                                                                        49%

   39% 39%

                                             28% 26%                                27%
                                                                              24%




   All large              West               Midwest             Northeast    South
  employers
   Source: 2011 Mercer National Survey of Employer-Sponsored Health Plans


                                                                                                 6
Federal barriers to coverage

   โ€ข Defense of Marriage Act (DOMA)
          ๏‚ง Does not recognize same-sex unions at the federal level
          ๏‚ง Insurance for same-sex spouses treated as taxable
            income (adds $1,000 annually)

   โ€ข Employee Retirement Income Security Act (ERISA)
          ๏‚ง Self-insured employers are regulated by the federal
            government, not states
          ๏‚ง Health insurance coverage is mandated for same-sex
            spouses in 16 states, but state mandates only reach
            fully-insured employers (42% private employees)
Source: Badget MVL. The economic value of marriage for same-sex couples. Drake Law Review. 2010.



                                                                                                   7
What are the outcomes?

โ€ข Men and women in same-sex couples are less
  likely to have health insurance
     BRFSS   (Buchmueller & Carpenter, 2010)
     CPS     (Ash & Badget, 2006)
     NHIS    (Heck et al., 2006)




                                               8
What are the outcomes?

โ€ข Men and women in same-sex couples are less
  likely to have health insurance
     BRFSS   (Buchmueller & Carpenter, 2010)
     CPS     (Ash & Badget, 2006)
     NHIS    (Heck et al., 2006)

โ€ข What can the American Community Survey tell us
  about national and regional disparities in health
  insurance coverage?

                                                      9
Methods

1. Multinomial Logit: Marginal Effects
     Yij = ฮฑ + ฮฒ1Maritali + ฮฒiXi + ฮต


2. State-Level Coverage Estimates

3. Coverage Across the Life Continuum


                                         10
GLB Inclusion in the American Community Survey
โ€ข Same-sex spouses / unmarried partners




โ€ข What is an unmarried partner?
  An โ€œunmarried partner,โ€ also known as a domestic partner, is a
  person who shares a close personal relationship with Person 1.


                                                                   11
Control Variables & Outcomes

โ€ข   Educational attainment   โ€ข Health Insurance
โ€ข   Age                         โ€ข Employer-Sponsored
                                  Insurance (ESI)
โ€ข   Sex
                                โ€ข Individual
โ€ข   Race                        โ€ข Medicare
โ€ข   Employment                  โ€ข Medicaid
โ€ข   Hours Worked                โ€ข Uninsured
โ€ข   Industry
โ€ข   Own child in household
โ€ข   Citizenship

                                                       12
Limitations to the ACS

โ€ข Missing Information
     โ€ข   Sexual orientation and gender identity
     โ€ข   Health status
     โ€ข   Firm size
     โ€ข   Source of coverage (own ESI or dependent)
โ€ข Missing Same-Sex Couples
     โ€ข If identified as roommates or unrelated adults
     โ€ข If neither is the respondent



                                                        13
Larger sample size compared to previous studies
Non-elderly adults in same-sex relationships
                                                                       17,420
                                                                 16,235




                                                                                     Men
                                                                                     Women



                                                     2,881
                                             2,384

       316    298          486   478


        NHIS                CPS               BRFSS                ACS
      1997-2003           1996-2003          2000-2007           2008-2010
     Heck et al. 2006   Ash & Badget 2006   Buchmueller &    Gonzales, forthcoming
                                            Carpenter 2010

                                                                                             14
Economic Characteristics
                    66%                         Same-Sex Couples
                          62%
                                                Married Opposite-Sex Couples
                                52%
                                                Unmarried Opposite-Sex Couples
  45%


        33%


              21%
                                                                15%
                                               8%       9% 8%
                                       5% 4%


โ‰ฅ College Degree     Full-Time        Unemployment       In Poverty
                    Employment


                                                                                 15
Demographic Characteristics
                                         Same-Sex Couples
               77%
                  71%                    Married Opposite-Sex Couples
                     66%
                                         Unmarried Opposite-Sex Couples




    23%                                                          25%25%
 17%                                             17%
                                              14%            12%
                                   11%     11%
          7%               8% 7%


 Age 55-65       White       Black          Hispanic        Minor Child in
                                                             Household


                                                                             16
Marginal Effects: Men
    Compared to married men in opposite-sex relationships
     16%



                      6%


                                      Employer                 1%         1%
       0%

                 Uninsured                                 Individual   Medicaid

                                          -8%
                                                                        Same-Sex Couples
    -16%
Controls: Race/ethnicity, age, employment, industry, income,
region, citizenship, minor child, survey year
                                                                                           17
Marginal Effects: Women
    Compared to married women in opposite-sex relationships
     16%



                      6%                                                  6%


                                      Employer                 1%
       0%

                 Uninsured                                 Individual   Medicaid


                                          -9%
                                                                          Same-Sex Couples
    -16%
Controls: Race/ethnicity, age, employment, industry, income,
region, citizenship, minor child, survey year
                                                                                             18
State Variation in Insurance Coverage
(Public & Private) among Same-Sex Couples




                                            19
Coverage Gaps in Insurance Coverage
Compared to Married Opposite-Sex Couples




                                           20
State Variation in ESI Coverage




                                  21
Coverage Gaps in ESI
Compared to Married Opposite-Sex Couples




                                           22
Uninsurance over the Life Continuum
            50%
            45%
            40%                              Same-Sex Couples
            35%
                                             Married Opposite-Sex Couples
Uninsured




            30%
            25%
            20%
            15%
            10%
            5%
            0%
                  20   30   40   50     60        70      80      90
                                      Age


                                                                            23
ESI over the Life Continuum
                               80%                              Same-Sex Couples
Employer-Sponsored Insurance




                               70%                              Married Opposite-Sex Couples
                               60%
                               50%
                               40%
                               30%
                               20%
                               10%
                               0%
                                     20   30   40   50     60     70      80       90
                                                         Age


                                                                                               24
Summary
โ€ข Men and women in same-sex couples are
  roughly 10% less likely to be insured through
  an employer
โ€ข Same-sex couples have lower rates of
  coverage than married, opposite-sex couples
  in all but 7 states
โ€ข Across the life continuum, partnered sexual
  minorities are less likely than their married
  peers to be covered by an employer
                                                  25
Policy Implications
โ€ข Potential for states to require fully insured
  employers to extend benefits to same-sex
  spouses
โ€ข Employers can voluntarily expand coverage to
  same-sex spouses as strategy to attract
  employees
โ€ข Repealing DOMA could remove barriers to
  coverage for same-sex couples


                                                  26
Gilbert Gonzales, MHA
        Doctoral Student
   Graduate Research Assistant
       gonza440@umn.edu

        University of Minnesota
         School of Public Health
Division of Health Policy & Management




Sign up to receive our newsletter and updates at
               www.shadac.org
                     @shadac

More Related Content

Similar to Pres shrpig june23_gonzales

Pres appam2011 nov5_dahlen
Pres appam2011 nov5_dahlenPres appam2011 nov5_dahlen
Pres appam2011 nov5_dahlen
soder145
ย 
Heather_ APPAM 2011 Presentation
Heather_ APPAM 2011 PresentationHeather_ APPAM 2011 Presentation
Heather_ APPAM 2011 Presentation
aurin003
ย 
State Integration for Dual Eligibles
State Integration for Dual EligiblesState Integration for Dual Eligibles
State Integration for Dual Eligibles
Galen Institute
ย 
HawkPartners Perspective on Payer Research
HawkPartners Perspective on Payer ResearchHawkPartners Perspective on Payer Research
HawkPartners Perspective on Payer Research
Jennifer Anthony
ย 
Micro-econometrics Marriage and Wages
Micro-econometrics Marriage and WagesMicro-econometrics Marriage and Wages
Micro-econometrics Marriage and Wages
Xuefeng Xing
ย 
SHRM 2011: Same-Sex Marriage - We're Not In Iowa Anymore
SHRM 2011: Same-Sex Marriage - We're Not In Iowa AnymoreSHRM 2011: Same-Sex Marriage - We're Not In Iowa Anymore
SHRM 2011: Same-Sex Marriage - We're Not In Iowa Anymore
Samir Luther
ย 
Pres paa2011 apr2_long
Pres paa2011 apr2_longPres paa2011 apr2_long
Pres paa2011 apr2_long
soder145
ย 
Boh wb 5 16-12
Boh wb 5 16-12Boh wb 5 16-12
Boh wb 5 16-12
dbrendsel
ย 
Phillip Blond: The big society
Phillip Blond: The big societyPhillip Blond: The big society
Phillip Blond: The big society
Nuffield Trust
ย 
The Impact of Same-Sex Marriage Laws on Health Insurance Coverage: Evidence f...
The Impact of Same-Sex Marriage Laws on Health Insurance Coverage: Evidence f...The Impact of Same-Sex Marriage Laws on Health Insurance Coverage: Evidence f...
The Impact of Same-Sex Marriage Laws on Health Insurance Coverage: Evidence f...
soder145
ย 
Pres apha nov6_gonzales
Pres apha nov6_gonzalesPres apha nov6_gonzales
Pres apha nov6_gonzales
soder145
ย 

Similar to Pres shrpig june23_gonzales (20)

Pres appam2011 nov5_dahlen
Pres appam2011 nov5_dahlenPres appam2011 nov5_dahlen
Pres appam2011 nov5_dahlen
ย 
Heather_ APPAM 2011 Presentation
Heather_ APPAM 2011 PresentationHeather_ APPAM 2011 Presentation
Heather_ APPAM 2011 Presentation
ย 
State Integration for Dual Eligibles
State Integration for Dual EligiblesState Integration for Dual Eligibles
State Integration for Dual Eligibles
ย 
Finding Women in Public Policy
Finding Women in Public PolicyFinding Women in Public Policy
Finding Women in Public Policy
ย 
The Atlantic/Aspen Institute American Values Survey
The Atlantic/Aspen Institute American Values SurveyThe Atlantic/Aspen Institute American Values Survey
The Atlantic/Aspen Institute American Values Survey
ย 
HawkPartners Perspective on Payer Research
HawkPartners Perspective on Payer ResearchHawkPartners Perspective on Payer Research
HawkPartners Perspective on Payer Research
ย 
International women's day global advisor 2021
International women's day global advisor 2021International women's day global advisor 2021
International women's day global advisor 2021
ย 
U.S. County Life Expectancy, 1989-2009, Ali Mokdad, April 2012
U.S. County Life Expectancy, 1989-2009, Ali Mokdad, April 2012U.S. County Life Expectancy, 1989-2009, Ali Mokdad, April 2012
U.S. County Life Expectancy, 1989-2009, Ali Mokdad, April 2012
ย 
The Future is FeMale
The Future is FeMaleThe Future is FeMale
The Future is FeMale
ย 
HRL Webinar 12.11.12
HRL Webinar 12.11.12HRL Webinar 12.11.12
HRL Webinar 12.11.12
ย 
HRL Webinar Health Check/Health Choice
HRL Webinar Health Check/Health ChoiceHRL Webinar Health Check/Health Choice
HRL Webinar Health Check/Health Choice
ย 
Improving Health
Improving HealthImproving Health
Improving Health
ย 
American Healthcare Values
American Healthcare Values American Healthcare Values
American Healthcare Values
ย 
Micro-econometrics Marriage and Wages
Micro-econometrics Marriage and WagesMicro-econometrics Marriage and Wages
Micro-econometrics Marriage and Wages
ย 
SHRM 2011: Same-Sex Marriage - We're Not In Iowa Anymore
SHRM 2011: Same-Sex Marriage - We're Not In Iowa AnymoreSHRM 2011: Same-Sex Marriage - We're Not In Iowa Anymore
SHRM 2011: Same-Sex Marriage - We're Not In Iowa Anymore
ย 
Pres paa2011 apr2_long
Pres paa2011 apr2_longPres paa2011 apr2_long
Pres paa2011 apr2_long
ย 
Boh wb 5 16-12
Boh wb 5 16-12Boh wb 5 16-12
Boh wb 5 16-12
ย 
Phillip Blond: The big society
Phillip Blond: The big societyPhillip Blond: The big society
Phillip Blond: The big society
ย 
The Impact of Same-Sex Marriage Laws on Health Insurance Coverage: Evidence f...
The Impact of Same-Sex Marriage Laws on Health Insurance Coverage: Evidence f...The Impact of Same-Sex Marriage Laws on Health Insurance Coverage: Evidence f...
The Impact of Same-Sex Marriage Laws on Health Insurance Coverage: Evidence f...
ย 
Pres apha nov6_gonzales
Pres apha nov6_gonzalesPres apha nov6_gonzales
Pres apha nov6_gonzales
ย 

More from soder145

Exploring the New State-Level Opioid Data On SHADAC's State Health Compare
Exploring the New State-Level Opioid Data On SHADAC's State Health CompareExploring the New State-Level Opioid Data On SHADAC's State Health Compare
Exploring the New State-Level Opioid Data On SHADAC's State Health Compare
soder145
ย 
Physician Participation in Medi-Cal: Is Supply Meeting Demand?
Physician Participation in Medi-Cal: Is Supply Meeting Demand? Physician Participation in Medi-Cal: Is Supply Meeting Demand?
Physician Participation in Medi-Cal: Is Supply Meeting Demand?
soder145
ย 

More from soder145 (20)

Trends and Disparities in Children's Health Insurance: New Data and the Impli...
Trends and Disparities in Children's Health Insurance: New Data and the Impli...Trends and Disparities in Children's Health Insurance: New Data and the Impli...
Trends and Disparities in Children's Health Insurance: New Data and the Impli...
ย 
Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...
Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...
Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...
ย 
Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...
Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...
Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...
ย 
Modeling State-based Reinsurance: One Option for Stabilization of the Individ...
Modeling State-based Reinsurance: One Option for Stabilization of the Individ...Modeling State-based Reinsurance: One Option for Stabilization of the Individ...
Modeling State-based Reinsurance: One Option for Stabilization of the Individ...
ย 
2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...
2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...
2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...
ย 
Exploring the New State-Level Opioid Data On SHADAC's State Health Compare
Exploring the New State-Level Opioid Data On SHADAC's State Health CompareExploring the New State-Level Opioid Data On SHADAC's State Health Compare
Exploring the New State-Level Opioid Data On SHADAC's State Health Compare
ย 
Ibd intersectionality
Ibd intersectionalityIbd intersectionality
Ibd intersectionality
ย 
Who gets it right
Who gets it rightWho gets it right
Who gets it right
ย 
Mn ltss projection model
Mn ltss projection modelMn ltss projection model
Mn ltss projection model
ย 
Modeling financial eligibility, ltss
Modeling financial eligibility, ltssModeling financial eligibility, ltss
Modeling financial eligibility, ltss
ย 
Poster, advancements in care coordination mn sim
Poster, advancements in care coordination mn simPoster, advancements in care coordination mn sim
Poster, advancements in care coordination mn sim
ย 
Poster, section 1115 waivers
Poster, section 1115 waiversPoster, section 1115 waivers
Poster, section 1115 waivers
ย 
Modeling state based reinsurance
Modeling state based reinsuranceModeling state based reinsurance
Modeling state based reinsurance
ย 
Comparing Health Insurance Measurement Error (CHIME) in the ACS & CPS
Comparing Health Insurance Measurement Error (CHIME) in the ACS & CPSComparing Health Insurance Measurement Error (CHIME) in the ACS & CPS
Comparing Health Insurance Measurement Error (CHIME) in the ACS & CPS
ย 
Who Gets It Right? Characteristics Associated with Accurate Reporting of Heal...
Who Gets It Right? Characteristics Associated with Accurate Reporting of Heal...Who Gets It Right? Characteristics Associated with Accurate Reporting of Heal...
Who Gets It Right? Characteristics Associated with Accurate Reporting of Heal...
ย 
Medicaid vs. Marketplace Coverage for Near-Poor Adults: Impact on Out-of-Pock...
Medicaid vs. Marketplace Coverage for Near-Poor Adults: Impact on Out-of-Pock...Medicaid vs. Marketplace Coverage for Near-Poor Adults: Impact on Out-of-Pock...
Medicaid vs. Marketplace Coverage for Near-Poor Adults: Impact on Out-of-Pock...
ย 
The Impact of Medicaid Expansion on Employer Provision of Health Insurance
The Impact of Medicaid Expansion on Employer Provision of Health InsuranceThe Impact of Medicaid Expansion on Employer Provision of Health Insurance
The Impact of Medicaid Expansion on Employer Provision of Health Insurance
ย 
Physician Participation in Medi-Cal: Is Supply Meeting Demand?
Physician Participation in Medi-Cal: Is Supply Meeting Demand? Physician Participation in Medi-Cal: Is Supply Meeting Demand?
Physician Participation in Medi-Cal: Is Supply Meeting Demand?
ย 
Shadac acs cps-webinar 2016-final_sept21
Shadac acs cps-webinar 2016-final_sept21Shadac acs cps-webinar 2016-final_sept21
Shadac acs cps-webinar 2016-final_sept21
ย 
2014 SAHIE: Overview with Census Experts
2014 SAHIE: Overview with Census Experts2014 SAHIE: Overview with Census Experts
2014 SAHIE: Overview with Census Experts
ย 

Recently uploaded

โžฅ๐Ÿ” 7737669865 ๐Ÿ”โ–ป Malda Call-girls in Women Seeking Men ๐Ÿ”Malda๐Ÿ” Escorts Ser...
โžฅ๐Ÿ” 7737669865 ๐Ÿ”โ–ป Malda Call-girls in Women Seeking Men  ๐Ÿ”Malda๐Ÿ”   Escorts Ser...โžฅ๐Ÿ” 7737669865 ๐Ÿ”โ–ป Malda Call-girls in Women Seeking Men  ๐Ÿ”Malda๐Ÿ”   Escorts Ser...
โžฅ๐Ÿ” 7737669865 ๐Ÿ”โ–ป Malda Call-girls in Women Seeking Men ๐Ÿ”Malda๐Ÿ” Escorts Ser...
amitlee9823
ย 
VIP Independent Call Girls in Bandra West ๐ŸŒน 9920725232 ( Call Me ) Mumbai Esc...
VIP Independent Call Girls in Bandra West ๐ŸŒน 9920725232 ( Call Me ) Mumbai Esc...VIP Independent Call Girls in Bandra West ๐ŸŒน 9920725232 ( Call Me ) Mumbai Esc...
VIP Independent Call Girls in Bandra West ๐ŸŒน 9920725232 ( Call Me ) Mumbai Esc...
dipikadinghjn ( Why You Choose Us? ) Escorts
ย 
VIP Kalyan Call Girls ๐ŸŒ 9920725232 ๐ŸŒ Make Your Dreams Come True With Mumbai E...
VIP Kalyan Call Girls ๐ŸŒ 9920725232 ๐ŸŒ Make Your Dreams Come True With Mumbai E...VIP Kalyan Call Girls ๐ŸŒ 9920725232 ๐ŸŒ Make Your Dreams Come True With Mumbai E...
VIP Kalyan Call Girls ๐ŸŒ 9920725232 ๐ŸŒ Make Your Dreams Come True With Mumbai E...
roshnidevijkn ( Why You Choose Us? ) Escorts
ย 
Technology industry / Finnish economic outlook
Technology industry / Finnish economic outlookTechnology industry / Finnish economic outlook
Technology industry / Finnish economic outlook
TechFinland
ย 
VIP Call Girl in Mumbai Central ๐Ÿ’ง 9920725232 ( Call Me ) Get A New Crush Ever...
VIP Call Girl in Mumbai Central ๐Ÿ’ง 9920725232 ( Call Me ) Get A New Crush Ever...VIP Call Girl in Mumbai Central ๐Ÿ’ง 9920725232 ( Call Me ) Get A New Crush Ever...
VIP Call Girl in Mumbai Central ๐Ÿ’ง 9920725232 ( Call Me ) Get A New Crush Ever...
dipikadinghjn ( Why You Choose Us? ) Escorts
ย 
Best VIP Call Girls Morni Hills Just Click Me 6367492432
Best VIP Call Girls Morni Hills Just Click Me 6367492432Best VIP Call Girls Morni Hills Just Click Me 6367492432
Best VIP Call Girls Morni Hills Just Click Me 6367492432
motiram463
ย 
( Jasmin ) Top VIP Escorts Service Dindigul ๐Ÿ’ง 7737669865 ๐Ÿ’ง by Dindigul Call G...
( Jasmin ) Top VIP Escorts Service Dindigul ๐Ÿ’ง 7737669865 ๐Ÿ’ง by Dindigul Call G...( Jasmin ) Top VIP Escorts Service Dindigul ๐Ÿ’ง 7737669865 ๐Ÿ’ง by Dindigul Call G...
( Jasmin ) Top VIP Escorts Service Dindigul ๐Ÿ’ง 7737669865 ๐Ÿ’ง by Dindigul Call G...
dipikadinghjn ( Why You Choose Us? ) Escorts
ย 
call girls in Sant Nagar (DELHI) ๐Ÿ” >เผ’9953056974 ๐Ÿ” genuine Escort Service ๐Ÿ”โœ”๏ธโœ”๏ธ
call girls in Sant Nagar (DELHI) ๐Ÿ” >เผ’9953056974 ๐Ÿ” genuine Escort Service ๐Ÿ”โœ”๏ธโœ”๏ธcall girls in Sant Nagar (DELHI) ๐Ÿ” >เผ’9953056974 ๐Ÿ” genuine Escort Service ๐Ÿ”โœ”๏ธโœ”๏ธ
call girls in Sant Nagar (DELHI) ๐Ÿ” >เผ’9953056974 ๐Ÿ” genuine Escort Service ๐Ÿ”โœ”๏ธโœ”๏ธ
9953056974 Low Rate Call Girls In Saket, Delhi NCR
ย 
Call Girls Service Pune โ‚น7.5k Pick Up & Drop With Cash Payment 9352852248 Cal...
Call Girls Service Pune โ‚น7.5k Pick Up & Drop With Cash Payment 9352852248 Cal...Call Girls Service Pune โ‚น7.5k Pick Up & Drop With Cash Payment 9352852248 Cal...
Call Girls Service Pune โ‚น7.5k Pick Up & Drop With Cash Payment 9352852248 Cal...
roshnidevijkn ( Why You Choose Us? ) Escorts
ย 
Toronto dominion bank investor presentation.pdf
Toronto dominion bank investor presentation.pdfToronto dominion bank investor presentation.pdf
Toronto dominion bank investor presentation.pdf
JinJiang6
ย 

Recently uploaded (20)

Kharghar Blowjob Housewife Call Girls NUmber-9833754194-CBD Belapur Internati...
Kharghar Blowjob Housewife Call Girls NUmber-9833754194-CBD Belapur Internati...Kharghar Blowjob Housewife Call Girls NUmber-9833754194-CBD Belapur Internati...
Kharghar Blowjob Housewife Call Girls NUmber-9833754194-CBD Belapur Internati...
ย 
โžฅ๐Ÿ” 7737669865 ๐Ÿ”โ–ป Malda Call-girls in Women Seeking Men ๐Ÿ”Malda๐Ÿ” Escorts Ser...
โžฅ๐Ÿ” 7737669865 ๐Ÿ”โ–ป Malda Call-girls in Women Seeking Men  ๐Ÿ”Malda๐Ÿ”   Escorts Ser...โžฅ๐Ÿ” 7737669865 ๐Ÿ”โ–ป Malda Call-girls in Women Seeking Men  ๐Ÿ”Malda๐Ÿ”   Escorts Ser...
โžฅ๐Ÿ” 7737669865 ๐Ÿ”โ–ป Malda Call-girls in Women Seeking Men ๐Ÿ”Malda๐Ÿ” Escorts Ser...
ย 
VIP Independent Call Girls in Bandra West ๐ŸŒน 9920725232 ( Call Me ) Mumbai Esc...
VIP Independent Call Girls in Bandra West ๐ŸŒน 9920725232 ( Call Me ) Mumbai Esc...VIP Independent Call Girls in Bandra West ๐ŸŒน 9920725232 ( Call Me ) Mumbai Esc...
VIP Independent Call Girls in Bandra West ๐ŸŒน 9920725232 ( Call Me ) Mumbai Esc...
ย 
VIP Kalyan Call Girls ๐ŸŒ 9920725232 ๐ŸŒ Make Your Dreams Come True With Mumbai E...
VIP Kalyan Call Girls ๐ŸŒ 9920725232 ๐ŸŒ Make Your Dreams Come True With Mumbai E...VIP Kalyan Call Girls ๐ŸŒ 9920725232 ๐ŸŒ Make Your Dreams Come True With Mumbai E...
VIP Kalyan Call Girls ๐ŸŒ 9920725232 ๐ŸŒ Make Your Dreams Come True With Mumbai E...
ย 
Technology industry / Finnish economic outlook
Technology industry / Finnish economic outlookTechnology industry / Finnish economic outlook
Technology industry / Finnish economic outlook
ย 
Webinar on E-Invoicing for Fintech Belgium
Webinar on E-Invoicing for Fintech BelgiumWebinar on E-Invoicing for Fintech Belgium
Webinar on E-Invoicing for Fintech Belgium
ย 
Business Principles, Tools, and Techniques in Participating in Various Types...
Business Principles, Tools, and Techniques  in Participating in Various Types...Business Principles, Tools, and Techniques  in Participating in Various Types...
Business Principles, Tools, and Techniques in Participating in Various Types...
ย 
VIP Call Girl in Mumbai Central ๐Ÿ’ง 9920725232 ( Call Me ) Get A New Crush Ever...
VIP Call Girl in Mumbai Central ๐Ÿ’ง 9920725232 ( Call Me ) Get A New Crush Ever...VIP Call Girl in Mumbai Central ๐Ÿ’ง 9920725232 ( Call Me ) Get A New Crush Ever...
VIP Call Girl in Mumbai Central ๐Ÿ’ง 9920725232 ( Call Me ) Get A New Crush Ever...
ย 
8377087607, Door Step Call Girls In Kalkaji (Locanto) 24/7 Available
8377087607, Door Step Call Girls In Kalkaji (Locanto) 24/7 Available8377087607, Door Step Call Girls In Kalkaji (Locanto) 24/7 Available
8377087607, Door Step Call Girls In Kalkaji (Locanto) 24/7 Available
ย 
cost-volume-profit analysis.ppt(managerial accounting).pptx
cost-volume-profit analysis.ppt(managerial accounting).pptxcost-volume-profit analysis.ppt(managerial accounting).pptx
cost-volume-profit analysis.ppt(managerial accounting).pptx
ย 
Call Girls Koregaon Park Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Koregaon Park Call Me 7737669865 Budget Friendly No Advance BookingCall Girls Koregaon Park Call Me 7737669865 Budget Friendly No Advance Booking
Call Girls Koregaon Park Call Me 7737669865 Budget Friendly No Advance Booking
ย 
(Sexy Sheela) Call Girl Mumbai Call Now ๐Ÿ‘‰9920725232๐Ÿ‘ˆ Mumbai Escorts 24x7
(Sexy Sheela) Call Girl Mumbai Call Now ๐Ÿ‘‰9920725232๐Ÿ‘ˆ Mumbai Escorts 24x7(Sexy Sheela) Call Girl Mumbai Call Now ๐Ÿ‘‰9920725232๐Ÿ‘ˆ Mumbai Escorts 24x7
(Sexy Sheela) Call Girl Mumbai Call Now ๐Ÿ‘‰9920725232๐Ÿ‘ˆ Mumbai Escorts 24x7
ย 
Airport Road Best Experience Call Girls Number-๐Ÿ“ž๐Ÿ“ž9833754194 Santacruz MOst Es...
Airport Road Best Experience Call Girls Number-๐Ÿ“ž๐Ÿ“ž9833754194 Santacruz MOst Es...Airport Road Best Experience Call Girls Number-๐Ÿ“ž๐Ÿ“ž9833754194 Santacruz MOst Es...
Airport Road Best Experience Call Girls Number-๐Ÿ“ž๐Ÿ“ž9833754194 Santacruz MOst Es...
ย 
Best VIP Call Girls Morni Hills Just Click Me 6367492432
Best VIP Call Girls Morni Hills Just Click Me 6367492432Best VIP Call Girls Morni Hills Just Click Me 6367492432
Best VIP Call Girls Morni Hills Just Click Me 6367492432
ย 
( Jasmin ) Top VIP Escorts Service Dindigul ๐Ÿ’ง 7737669865 ๐Ÿ’ง by Dindigul Call G...
( Jasmin ) Top VIP Escorts Service Dindigul ๐Ÿ’ง 7737669865 ๐Ÿ’ง by Dindigul Call G...( Jasmin ) Top VIP Escorts Service Dindigul ๐Ÿ’ง 7737669865 ๐Ÿ’ง by Dindigul Call G...
( Jasmin ) Top VIP Escorts Service Dindigul ๐Ÿ’ง 7737669865 ๐Ÿ’ง by Dindigul Call G...
ย 
Pension dashboards forum 1 May 2024 (1).pdf
Pension dashboards forum 1 May 2024 (1).pdfPension dashboards forum 1 May 2024 (1).pdf
Pension dashboards forum 1 May 2024 (1).pdf
ย 
Mira Road Memorable Call Grls Number-9833754194-Bhayandar Speciallty Call Gir...
Mira Road Memorable Call Grls Number-9833754194-Bhayandar Speciallty Call Gir...Mira Road Memorable Call Grls Number-9833754194-Bhayandar Speciallty Call Gir...
Mira Road Memorable Call Grls Number-9833754194-Bhayandar Speciallty Call Gir...
ย 
call girls in Sant Nagar (DELHI) ๐Ÿ” >เผ’9953056974 ๐Ÿ” genuine Escort Service ๐Ÿ”โœ”๏ธโœ”๏ธ
call girls in Sant Nagar (DELHI) ๐Ÿ” >เผ’9953056974 ๐Ÿ” genuine Escort Service ๐Ÿ”โœ”๏ธโœ”๏ธcall girls in Sant Nagar (DELHI) ๐Ÿ” >เผ’9953056974 ๐Ÿ” genuine Escort Service ๐Ÿ”โœ”๏ธโœ”๏ธ
call girls in Sant Nagar (DELHI) ๐Ÿ” >เผ’9953056974 ๐Ÿ” genuine Escort Service ๐Ÿ”โœ”๏ธโœ”๏ธ
ย 
Call Girls Service Pune โ‚น7.5k Pick Up & Drop With Cash Payment 9352852248 Cal...
Call Girls Service Pune โ‚น7.5k Pick Up & Drop With Cash Payment 9352852248 Cal...Call Girls Service Pune โ‚น7.5k Pick Up & Drop With Cash Payment 9352852248 Cal...
Call Girls Service Pune โ‚น7.5k Pick Up & Drop With Cash Payment 9352852248 Cal...
ย 
Toronto dominion bank investor presentation.pdf
Toronto dominion bank investor presentation.pdfToronto dominion bank investor presentation.pdf
Toronto dominion bank investor presentation.pdf
ย 

Pres shrpig june23_gonzales

  • 1. State Variation in Health Insurance Coverage Among Same-Sex Couples Gilbert Gonzales Gender and Health Interest Group Meeting Orlando, FL June 23, 2012 Funded by a grant from the Robert Wood Johnson Foundation
  • 2. Background: Who are same-sex couples? โ€ข Sexual minorities Gay, Lesbian, Bisexual, Transgender (GLBT) โ€ข Partnered Married Civil Union Domestic Partnership Unmarried, but cohabitating 2
  • 3. States differ in their policies on same-sex couples 3
  • 4. Why does marriage matter? โ€ข Most Americans are covered through a family memberโ€™s employer health plan ๏‚ง โ€œLegalโ€ spouse ๏‚ง Dependent children Example: University of Minnesota, Office of Human Resources 4
  • 5. The role of employers Large employers (500+ employees) offering same-sex domestic partner benefits 39% 39% 34% 34% 29% 27% 24% 21% 19% 16% 12% 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 Source: 2011 Mercer National Survey of Employer-Sponsored Health Plans 5
  • 6. Improvements vary by region Same-sex domestic partner coverage among large employers (500+ employees) 64% 59% 2009 52% 2010 49% 39% 39% 28% 26% 27% 24% All large West Midwest Northeast South employers Source: 2011 Mercer National Survey of Employer-Sponsored Health Plans 6
  • 7. Federal barriers to coverage โ€ข Defense of Marriage Act (DOMA) ๏‚ง Does not recognize same-sex unions at the federal level ๏‚ง Insurance for same-sex spouses treated as taxable income (adds $1,000 annually) โ€ข Employee Retirement Income Security Act (ERISA) ๏‚ง Self-insured employers are regulated by the federal government, not states ๏‚ง Health insurance coverage is mandated for same-sex spouses in 16 states, but state mandates only reach fully-insured employers (42% private employees) Source: Badget MVL. The economic value of marriage for same-sex couples. Drake Law Review. 2010. 7
  • 8. What are the outcomes? โ€ข Men and women in same-sex couples are less likely to have health insurance BRFSS (Buchmueller & Carpenter, 2010) CPS (Ash & Badget, 2006) NHIS (Heck et al., 2006) 8
  • 9. What are the outcomes? โ€ข Men and women in same-sex couples are less likely to have health insurance BRFSS (Buchmueller & Carpenter, 2010) CPS (Ash & Badget, 2006) NHIS (Heck et al., 2006) โ€ข What can the American Community Survey tell us about national and regional disparities in health insurance coverage? 9
  • 10. Methods 1. Multinomial Logit: Marginal Effects Yij = ฮฑ + ฮฒ1Maritali + ฮฒiXi + ฮต 2. State-Level Coverage Estimates 3. Coverage Across the Life Continuum 10
  • 11. GLB Inclusion in the American Community Survey โ€ข Same-sex spouses / unmarried partners โ€ข What is an unmarried partner? An โ€œunmarried partner,โ€ also known as a domestic partner, is a person who shares a close personal relationship with Person 1. 11
  • 12. Control Variables & Outcomes โ€ข Educational attainment โ€ข Health Insurance โ€ข Age โ€ข Employer-Sponsored Insurance (ESI) โ€ข Sex โ€ข Individual โ€ข Race โ€ข Medicare โ€ข Employment โ€ข Medicaid โ€ข Hours Worked โ€ข Uninsured โ€ข Industry โ€ข Own child in household โ€ข Citizenship 12
  • 13. Limitations to the ACS โ€ข Missing Information โ€ข Sexual orientation and gender identity โ€ข Health status โ€ข Firm size โ€ข Source of coverage (own ESI or dependent) โ€ข Missing Same-Sex Couples โ€ข If identified as roommates or unrelated adults โ€ข If neither is the respondent 13
  • 14. Larger sample size compared to previous studies Non-elderly adults in same-sex relationships 17,420 16,235 Men Women 2,881 2,384 316 298 486 478 NHIS CPS BRFSS ACS 1997-2003 1996-2003 2000-2007 2008-2010 Heck et al. 2006 Ash & Badget 2006 Buchmueller & Gonzales, forthcoming Carpenter 2010 14
  • 15. Economic Characteristics 66% Same-Sex Couples 62% Married Opposite-Sex Couples 52% Unmarried Opposite-Sex Couples 45% 33% 21% 15% 8% 9% 8% 5% 4% โ‰ฅ College Degree Full-Time Unemployment In Poverty Employment 15
  • 16. Demographic Characteristics Same-Sex Couples 77% 71% Married Opposite-Sex Couples 66% Unmarried Opposite-Sex Couples 23% 25%25% 17% 17% 14% 12% 11% 11% 7% 8% 7% Age 55-65 White Black Hispanic Minor Child in Household 16
  • 17. Marginal Effects: Men Compared to married men in opposite-sex relationships 16% 6% Employer 1% 1% 0% Uninsured Individual Medicaid -8% Same-Sex Couples -16% Controls: Race/ethnicity, age, employment, industry, income, region, citizenship, minor child, survey year 17
  • 18. Marginal Effects: Women Compared to married women in opposite-sex relationships 16% 6% 6% Employer 1% 0% Uninsured Individual Medicaid -9% Same-Sex Couples -16% Controls: Race/ethnicity, age, employment, industry, income, region, citizenship, minor child, survey year 18
  • 19. State Variation in Insurance Coverage (Public & Private) among Same-Sex Couples 19
  • 20. Coverage Gaps in Insurance Coverage Compared to Married Opposite-Sex Couples 20
  • 21. State Variation in ESI Coverage 21
  • 22. Coverage Gaps in ESI Compared to Married Opposite-Sex Couples 22
  • 23. Uninsurance over the Life Continuum 50% 45% 40% Same-Sex Couples 35% Married Opposite-Sex Couples Uninsured 30% 25% 20% 15% 10% 5% 0% 20 30 40 50 60 70 80 90 Age 23
  • 24. ESI over the Life Continuum 80% Same-Sex Couples Employer-Sponsored Insurance 70% Married Opposite-Sex Couples 60% 50% 40% 30% 20% 10% 0% 20 30 40 50 60 70 80 90 Age 24
  • 25. Summary โ€ข Men and women in same-sex couples are roughly 10% less likely to be insured through an employer โ€ข Same-sex couples have lower rates of coverage than married, opposite-sex couples in all but 7 states โ€ข Across the life continuum, partnered sexual minorities are less likely than their married peers to be covered by an employer 25
  • 26. Policy Implications โ€ข Potential for states to require fully insured employers to extend benefits to same-sex spouses โ€ข Employers can voluntarily expand coverage to same-sex spouses as strategy to attract employees โ€ข Repealing DOMA could remove barriers to coverage for same-sex couples 26
  • 27. Gilbert Gonzales, MHA Doctoral Student Graduate Research Assistant gonza440@umn.edu University of Minnesota School of Public Health Division of Health Policy & Management Sign up to receive our newsletter and updates at www.shadac.org @shadac