Abstract
Was the Affordable Care Act (ACA) effective in the U.S. territories? This paper explores this question by examining the impact of the ACA’s dependent mandate and Medicaid expansion in Puerto Rico. The dependent mandate led to a 4.3 percentage point increase in health insurance coverage for Puerto Rican young adults due to increased employer-sponsored insurance coverage, and the Medicaid Expansion increased Medicaid coverage by 2.4 percentage points. The impact of both policies in Puerto Rico is smaller than in the mainland, highlighting the importance of considering how federal legislation affects territories with economic and health environments dissimilar to the mainland.
-
Competing interests: The author has no sources of funding or conflicts of interest to disclose.
Appendix A: Supplementary Figures and Tables
Effects of the ACA dependent mandate, 2008 to 2013.
Employed | Full time | Self-employed | Income from wages | Total income | |
---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | |
Panel A: Puerto Rico | |||||
0.006 | −0.005 | −0.010a | 202.92 | 277.68 | |
(0.009) | (0.015) | (0.005) | (292.91) | (273.77) | |
Wild bootstrap p-value | 0.257 | 0.775 | 0.074 | 0.541 | 0.365 |
N = 18,465 |
-
The data come from the 2008–2013 IPUMS American Community Survey and Puerto Rico Community Survey. Income from wages and total income are measures in 1999 USD. The reported results are obtained by estimating Equation (1). All estimates use survey-provided weights. Standard errors clustered by age are presented in parentheses. P-values from 1000 iterations of the wild bootstrap procedure are presented. a, b, and cDenote significance at the 1, 5, and 10 % levels using the standard errors clustered by age.
Effects of the ACA dependent mandate, 2008 to 2013.
Married | Divorced | College student | Undergraduate student | Graduate student | |
---|---|---|---|---|---|
(1) | (2) | (3) | (4) | (5) | |
Panel A: Puerto Rico | |||||
0.005 | 0.009 | 0.010 | 0.000 | 0.010 | |
(0.005) | (0.005) | (0.010) | (0.010) | (0.005) | |
Wild bootstrap p-value | 0.523 | 0.314 | 0.388 | 0.986 | 0.103 |
N = 18,465 |
-
The data come from the 2008–2013 IPUMS American Community Survey and Puerto Rico Community Survey. The reported results are obtained by estimating Equation (1). All estimates use survey-provided weights. Standard errors clustered by age are presented in parentheses. P-values from 1000 iterations of the wild bootstrap procedure are presented. a, b, and cDenote significance at the 1, 5, and 10 % levels using the standard errors clustered by age.
Descriptive statistics for 26–64-year-olds, Mainland Hispanic.
Pre | Post | |||||||
---|---|---|---|---|---|---|---|---|
Mean | Std. dev. | Min | Max | Mean | Std. dev. | Min | Max | |
Unemployed | 0.062 | 0.027 | 0 | 0.181 | 0.040 | 0.035 | 0 | 0.505 |
White | 0.685 | 0.129 | 0.198 | 0.946 | 0.700 | 0.145 | 0.107 | 0.971 |
HS or less | 0.614 | 0.145 | 0.092 | 0.893 | 0.602 | 0.160 | 0.011 | 0.913 |
Uninsured and below poverty level | 0.241 | 0.105 | 0 | 0.574 | 0.201 | 0.109 | 0 | 0.621 |
Insured | 0.536 | 0.143 | 0.113 | 0.873 | 0.609 | 0.151 | 0.135 | 0.998 |
Medicaid | 0.074 | 0.055 | 0 | 0.450 | 0.085 | 0.060 | 0 | 0.549 |
N = 315 |
-
The data come from the 2008–2013 IPUMS American Community Survey. All estimates use survey-provided weights.
Descriptive statistics for 26–64-year-olds, Puerto Rico <138 poverty.
Pre | Post | |||||||
---|---|---|---|---|---|---|---|---|
Mean | Std. dev. | Min | Max | Mean | Std. dev. | Min | Max | |
Unemployed | 0.142 | 0.029 | 0.086 | 0.185 | 0.135 | 0.025 | 0.082 | 0.162 |
White | 0.667 | 0.158 | 0.534 | 0.949 | 0.616 | 0.115 | 0.432 | 0.744 |
HS or less | 0.624 | 0.052 | 0.530 | 0.676 | 0.591 | 0.048 | 0.510 | 0.650 |
Uninsured and below poverty level | 0.094 | 0.037 | 0.064 | 0.159 | 0.076 | 0.034 | 0.046 | 0.135 |
Insured | 0.843 | 0.066 | 0.730 | 0.906 | 0.870 | 0.056 | 0.765 | 0.925 |
Medicaid | 0.571 | 0.098 | 0.410 | 0.666 | 0.626 | 0.119 | 0.381 | 0.725 |
N = 7 |
-
The data come from the 2008–2013 IPUMS Puerto Rico Community Survey. All estimates use survey-provided weights.
Descriptive statistics for 26–64-year-olds, Mainland <138 poverty.
Pre | Post | |||||||
---|---|---|---|---|---|---|---|---|
Mean | Std. dev. | Min | Max | Mean | Std. dev. | Min | Max | |
Unemployed | 0.124 | 0.034 | 0.043 | 0.203 | 0.086 | 0.026 | 0.016 | 0.181 |
White | 0.683 | 0.183 | 0.084 | 0.978 | 0.678 | 0.181 | 0.073 | 0.980 |
HS or less | 0.614 | 0.097 | 0.213 | 0.799 | 0.600 | 0.100 | 0.123 | 0.831 |
Uninsured and below poverty level | 0.463 | 0.097 | 0.140 | 0.732 | 0.375 | 0.102 | 0.110 | 0.690 |
Insured | 0.537 | 0.097 | 0.268 | 0.860 | 0.625 | 0.102 | 0.310 | 0.890 |
Medicaid | 0.262 | 0.098 | 0.067 | 0.714 | 0.297 | 0.104 | 0.060 | 0.645 |
N = 315 |
-
The data come from the 2008–2013 IPUMS American Community Survey. All estimates use survey-provided weights.
Effects of the Medicaid expansion in Puerto Rico, 2008–2016.
Married | Divorced |
---|---|
(1) | (2) |
−0.014a | 0.013 |
(0.008) | (0.011) |
-
The data come from the 2008–2016 IPUMS American Community Survey and Puerto Rico Community Survey. Results are obtained using the SDiD procedure corresponding to Equation (3). Bootstrapped standard errors clustered are presented in parentheses. a, b, and c denote significance at the 1, 5, and 10 % levels.

Effects of the Medicaid expansion in 2015 adopting states, 2008–2016. (A) U.S. versus synthetic control. (B) U.S. versus synthetic control, Hispanic. (C) U.S. versus Synthetic control, <138 poverty. (D) U.S. versus synthetic control, Hispanic and <138 poverty. The data come from the 2008–2016 IPUMS American Community Survey. Medicaid coverage trends for the treatment and control groups. Graphs are produced using SDiD.

Effects of the Medicaid expansion in 2016 adopting states, 2008–2016. (A) U.S. versus synthetic control. (B) U.S. versus synthetic control, Hispanic. (C) U.S. versus synthetic control, <138 poverty. (D) U.S. versus synthetic control, Hispanic and <138 poverty. The data come from the 2008–2016 IPUMS American Community Survey. Medicaid coverage trends for the treatment and control groups. Graphs are produced using SDiD.

Effects of the Medicaid expansion in Puerto Rico on marital status, 2008–2016. (A) Married, Puerto Rico versus synthetic control. (B) Divorced, Puerto Rico versus synthetic control. The data come from the 2008–2016 IPUMS American Community Survey and Puerto Rico Community Survey. Each subfigure presents the trends for the treatment and control groups. Graphs are produced using SDiD.
References
Abadie, Alberto, and Javier Gardeazabal. 2003. “The Economic Costs of Conflict: A Case Study of the Basque Country.” The American Economic Review 93 (1): 113–32. https://doi.org/10.1257/000282803321455188.Search in Google Scholar
Abadie, Alberto, Alexis Diamond, and Jens Hainmueller. 2010. “Synthetic Control Methods for Comparative Case Studies: Estimating the Effect of California’s Tobacco Control Program.” Journal of the American Statistical Association 105 (490): 493–505. https://doi.org/10.1198/jasa.2009.ap08746.Search in Google Scholar
Abramowitz, Joelle. 2016. “Saying, `I Don’t’: The Effect of the Affordable Care Act Young Adult Provision on Marriage.” Journal of Human Resources 51 (4): 933–60. https://doi.org/10.3368/jhr.51.4.0914-6643r2.Search in Google Scholar
Antwi, Akosa, Asako S. Moriya Yaa, and Kosali Simon. 2013. “Effects of Federal Policy to Insure Young Adults: Evidence from the 2010 Affordable Care Act’s Dependent-Coverage Mandate.” American Economic Journal: Economic Policy 5 (4): 1–28. https://doi.org/10.1257/pol.5.4.1.Search in Google Scholar
Arkhangelsky, Dmitry, Susan Athey, David A. Hirshberg, Guido W. Imbens, and Stefan Wager. 2021. “Synthetic Difference-In-Differences.” The American Economic Review 111 (12): 4088–118. https://doi.org/10.1257/aer.20190159.Search in Google Scholar
Barbaresco, Silvia, Charles J. Courtemanche, and Yanling Qi. 2015. “Impacts of the Affordable Care Act Dependent Coverage Provision on Health-Related Outcomes of Young Adults.” Journal of Health Economics 40: 54–68. https://doi.org/10.1016/j.jhealeco.2014.12.004.Search in Google Scholar
Bureau of Statistics and Plans. 2021. “2019 Guam Statistical Yearbook.” In Office of the Governor.Search in Google Scholar
Cantor, Joel C., Alan C. Monheit, Derek DeLia, and Kristen Lloyd. 2012. “Early Impact of the Affordable Care Act on Health Insurance Coverage of Young Adults.” Health Services Research 47 (5): 1773–90. https://doi.org/10.1111/j.1475-6773.2012.01458.x.Search in Google Scholar
Chua, Kao-Ping, and Benjamin D. Sommers. 2014. “Changes in Health and Medical Spending Among Young Adults under Health Reform.” JAMA 311 (23): 2437–9. https://doi.org/10.1001/jama.2014.2202.Search in Google Scholar
Colón, Héctor M., and Sánchez-Cesareo. Marizaida. 2016. “Disparities in Health Care in Puerto Rico Compared with the United States.” JAMA Internal Medicine 176 (6): 794–5. https://doi.org/10.1001/jamainternmed.2016.1144.Search in Google Scholar
Courtemanche, Charles, James Marton, Benjamin Ukert, Aaron Yelowitz, and Daniela Zapata. 2017. “Early Impacts of the Affordable Care Act on Health Insurance Coverage in Medicaid Expansion and Non‐expansion States.” Journal of Policy Analysis and Management 36 (1): 178–210. https://doi.org/10.1002/pam.21961.Search in Google Scholar
Developments in the Law – The U.S. Territories: Introduction. 2017. Harvard Law Review 130: 1617–31. https://harvardlawreview.org/print/vol-130/us-territories-introduction/.Search in Google Scholar
Fallon, Joseph E. 1991. “Federal Policy and U.S. Territories: The Political Restructuring of the United States of America.” Pacific Affairs 64 (1): 23–41. https://doi.org/10.2307/2760361.Search in Google Scholar
Frean, Molly, Jonathan Gruber, and Benjamin D. Sommers. 2017. “Premium Subsidies, the Mandate, and Medicaid Expansion: Coverage Effects of the Affordable Care Act.” Journal of Health Economics 53: 72–86. https://doi.org/10.1016/j.jhealeco.2017.02.004.Search in Google Scholar
French, Michael T., Jenny Homer, Gulcin Gumus, and Lucas Hickling. 2016. “Key Provisions of the Patient Protection and Affordable Care Act (ACA): A Systematic Review and Presentation of Early Research Findings.” Health Services Research 51 (5): 1735–71. https://doi.org/10.1111/1475-6773.12511.Search in Google Scholar
Hampton, Matt, and Otto Lenhart. 2022. “The Effect of the Affordable Care Act Medicaid Expansion on Marriage.” Economic Inquiry 60 (2): 568–91. https://doi.org/10.1111/ecin.13052.Search in Google Scholar
Heim, Bradley, Ithai Lure, and Kosali Simon. 2018. “Did the Affordable Care Act Young Adult Provision Affect Labor Market Outcomes? Analysis Using Tax Data.” ILR Review 71 (5): 1154–78. https://doi.org/10.1177/0019793917744176.Search in Google Scholar
Jung, Juergen, and Vinish Shrestha. 2018. “The Affordable Care Act and College Enrollment Decisions.” Economic Inquiry 56 (4): 1980–2009. https://doi.org/10.1111/ecin.12578.Search in Google Scholar
Kaestner, Robert, Bowen Garrett, Jiajia Chen, Anuj Gangopadhyaya, and Caitlyn Fleming. 2017. “Effects of ACA Medicaid Expansions on Health Insurance Coverage and Labor Supply.” Journal of Policy Analysis and Management 36 (3): 608–42. https://doi.org/10.1002/pam.21993.Search in Google Scholar
Lenhart, Otto, and Vinish Shrestha. 2017. “The Effect of the Health Insurance Mandate on Labor Market Activity and Time Allocation: Evidence from the Federal Dependent Coverage Provision.” Forum for Health Economics & Policy 20 (1): pp. 20160006, https://doi.org/10.1515/fhep-2016-0006.Search in Google Scholar
MacKinnon, James G., and Matthew D. Webb. 2018. “The Wild Bootstrap for Few (Treated) Clusters.” The Econometrics Journal 21 (2): 114–35. https://doi.org/10.1111/ectj.12107.Search in Google Scholar
Medicaid and CHIP Payment and Access Commission. 2021. Medicaid and CHIP in the Territories. Washington.Search in Google Scholar
Miller, Sarah, Norman Johnson, and Laura R. Wherry. 2021. “Medicaid and Mortality: New Evidence from Linked Survey and Administrative Data.” Quarterly Journal of Economics 136 (3): 1783–829. https://doi.org/10.1093/qje/qjab004.Search in Google Scholar
Musumeci, Mary Beth. 2012. “A Guide to the Supreme Court’s Decision on the ACA’s Medicaid Expansion.” Focus on Health Reform 9.Search in Google Scholar
Office of the Commissioner of Insurance of Puerto Rico. 2008. Rule No. 89. No 7652.Search in Google Scholar
Perreira, Krista, Nicole Lallemand, Amanda Napoles, and Stephen Zuckerman. 2017. Environmental Scan of Puerto Rico’s Health Care Infrastructure. Urban Institute.Search in Google Scholar
Portela, Maria, and Benjamin D. Sommers. 2015. “On the Outskirts of National Health Reform: A Comparative Assessment of Health Insurance and Access to Care in Puerto Rico and the United States.” The Milbank Quarterly 93 (3): 584–608. https://doi.org/10.1111/1468-0009.12138.Search in Google Scholar
Rivera-Hernandez, Maricruz, Bryan Leyva, Laura M. Keohane, and Amal N. Trivedi. 2016. “Quality of Care for White and Hispanic Medicare Advantage Enrollees in the United States and Puerto Rico.” JAMA Internal Medicine 176 (6): 787–94. https://doi.org/10.1001/jamainternmed.2016.0267.Search in Google Scholar
Ruggles, Steven, Sarah Flood, Matthew Sobek, Danika Brockman, Grace Cooper, Stephanie Richards, and Megan Schouweiler. 2023. IPUMS USA: Version 13.0 [Dataset]. Minneapolis: IPUMS.Search in Google Scholar
Sebelius, Kathleen. 2012. Letter to Territory Governors. Washington: Department of Health and Human Services.Search in Google Scholar
Simon, Kosali, Aparna Soni, and John Cawley. 2017. “The Impact of Health Insurance on Preventive Care and Health Behaviors: Evidence from the First Two Years of the ACA Medicaid Expansions.” Journal of Policy Analysis and Management 36 (2): 390–417. https://doi.org/10.1002/pam.21972.Search in Google Scholar
Slusky, David J. G. 2017. “Significant Placebo Results in Difference-In-Differences Analysis: The Case of the ACA’s Parental Mandate.” Eastern Economic Journal 43 (4): 580–603. https://doi.org/10.1057/eej.2015.49.Search in Google Scholar
Slusky, David J. G., and Donna K. Ginther. 2021. “Did Medicaid Expansion Reduce Medical Divorce?” Review of Economics of the Household 19: 1139–74. https://doi.org/10.1007/s11150-021-09566-7.Search in Google Scholar
Sommers, Benjamin D., and Richard Kronick. 2012. “The Affordable Care Act and Insurance Coverage for Young Adults.” JAMA 307 (9): 913–4. https://doi.org/10.1001/jama.307.9.913.Search in Google Scholar
Sommers, Benjamin D., Buchmueller Thomas, Sandra L. Decker, Colleen Carey, and Richard Kronick. 2013. “The Affordable Care Act Has Led to Significant Gains in Health Insurance and Access to Care for Young Adults.” Health Affairs 32 (1): 165–74. https://doi.org/10.1377/hlthaff.2012.0552.Search in Google Scholar
Sommers, Benjamin D., Munira Z. Gunja, Kenneth Finegold, and Thomas Musco. 2015. “Changes in Self-Reported Insurance Coverage, Access to Care, and Health under the Affordable Care Act.” JAMA 314 (4): 366–74. https://doi.org/10.1001/jama.2015.8421.Search in Google Scholar
Sommers, Benjamin D., Robert J. Blendon, E. John Orav, and Arnold M. Epstein. 2016. “Changes in Utilization and Health Among Low-Income Adults after Medicaid Expansion or Expanded Private Insurance.” JAMA Internal Medicine 176 (10): 1501–9. https://doi.org/10.1001/jamainternmed.2016.4419.Search in Google Scholar
“Status of State Medicaid Expansion Decisions: Interactive Map”. 2023. Last Modified. Kaiser Family Foundation. https://www.kff.org/medicaid/issue-brief/status-of-state-medicaid-expansion-decisions-interactive-map/ (accessed April 15, 2023).Search in Google Scholar
Tavenner, Marilyn. 2014. Letter to Commissioner Angela Weyne. Washington: Department of Health and Human Services.Search in Google Scholar
U.S. Census Bureau. 2020. Understanding and Using Puerto Rico Community Survey Data: What All Data Users Need to Know. U.S. Government Printing Office: Washington D.C.Search in Google Scholar
U.S. Census Bureau. 2023a. Census Bureau Releases 2020 Census Demographic and Housing Characteristics Summary File for Commonwealth of the Northern Mariana Islands. https://www.census.gov/newsroom/press-releases/2023/2020-dhc-summary-file-cnmi.html#:~:text=Demographic%20Characteristics%20in%202020,median%20age%20was%2034.4%20years.Search in Google Scholar
U.S. Census Bureau. 2023b. Census Bureau Releases 2020 Census Demographic and Housing Characteristics Summary File for the U.S. Virgin Islands. https://www.census.gov/newsroom/press-releases/2023/2020-dhc-summary-file-usvi.html#:~:text=Demographic%20Characteristics%20in%202020,was%20ages%2085%20or%20over.Search in Google Scholar
U.S. Government Accountability Office. 2014. Puerto Rico: Information on How Statehood Would Potentially Affect Selected Federal Programs and Revenue Sources. Washington: Government Accountability Office.Search in Google Scholar
U.S. Government Accountability Office. 2016. Medicaid and CHIP: Increasing Funding in U.S. Territories Merits Improved Program Integrity Efforts. Washington: Government Accountability Office.Search in Google Scholar
U.S. Government Accountability Office. 2020. American Samoa: Economic Trends, Status of the Tuna Canning Industry, and Stakeholders’ View on Minimum Wage Increases. Washington: Government Accountability Office.Search in Google Scholar
Van, Dyke, and M. Jon. 1992. “The Evolving Legal Relationships between the United States and its Affiliated US-Flag Islands.” University of Hawai’i Law Review 14: 445.Search in Google Scholar
© 2024 Walter de Gruyter GmbH, Berlin/Boston
Articles in the same Issue
- Frontmatter
- Research Articles
- Asymmetric Performance Evaluation Under Quantity and Price Competition with Managerial Delegation
- Incentive-Induced Social Tie and Subsequent Altruism and Cooperation
- University Admission: Is Achievement a Sufficient Criterion?
- Taxing Firearms Like Alcohol or Tobacco
- The Growing Importance of Social Skills for Labor Market Outcomes Across Education Groups
- The Impact of the Affordable Care Act in Puerto Rico
- Strategic Individual Behaviors and the Efficient Vaccination Subsidy
- Is Family-Priority Rule the Right Path? An Experimental Study of the Chinese Organ Allocation System
- Letters
- Real-effort in the Multilevel Public Goods Game
- Initial Payment and Refunding Scheme for Climate Change Mitigation and Technological Development Among Heterogeneous Countries
- Edutainment and Dwelling-Related Assets in Poor Rural Areas of Peru
- Biased Voluntary Nutri-Score Labeling
- Decompositions of Inequality and Poverty by Income Source
- Job Loss and Migration: Do Family Connections Matter?
Articles in the same Issue
- Frontmatter
- Research Articles
- Asymmetric Performance Evaluation Under Quantity and Price Competition with Managerial Delegation
- Incentive-Induced Social Tie and Subsequent Altruism and Cooperation
- University Admission: Is Achievement a Sufficient Criterion?
- Taxing Firearms Like Alcohol or Tobacco
- The Growing Importance of Social Skills for Labor Market Outcomes Across Education Groups
- The Impact of the Affordable Care Act in Puerto Rico
- Strategic Individual Behaviors and the Efficient Vaccination Subsidy
- Is Family-Priority Rule the Right Path? An Experimental Study of the Chinese Organ Allocation System
- Letters
- Real-effort in the Multilevel Public Goods Game
- Initial Payment and Refunding Scheme for Climate Change Mitigation and Technological Development Among Heterogeneous Countries
- Edutainment and Dwelling-Related Assets in Poor Rural Areas of Peru
- Biased Voluntary Nutri-Score Labeling
- Decompositions of Inequality and Poverty by Income Source
- Job Loss and Migration: Do Family Connections Matter?