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Have Gender Gaps in Insurance Coverage and Access to Care Narrowed under Health Reform? Findings from Massachusetts

American Economic Review 2011 101(3), 640-644
Under its health reform legislation, Massachusetts has achieved near universal insurance coverage, along with significant gains in health care access and affordability. This paper examines the impacts of health reform in Massachusetts on differences in coverage, access, and affordability for women and men. We find that both women and men gained under health reform, with the gender gap in insurance coverage narrowed as men's coverage increased relative to that of women. However, the gaps in access and affordability of care have not narrowed—women in Massachusetts continue to report more unmet need for care and problems affording care than men.

Another Look at the Impacts of Health Reform in Massachusetts: Evidence Using New Data and a Stronger Model

American Economic Review 2009 99(2), 508-511
In April 2006, Massachusetts enacted a comprehensive health care reform bill that seeks to move the state to near universal insurance coverage. The bill included expanded eligibility for public coverage, subsidized insurance, market reforms, requirements for employers, and, most controversial, an individual mandate. A study of the early impacts of the state's initiative found evidence of a substantial drop in uninsurance--from 13 to 7 percent for nonelderly adults (Long 2008). Because that study relied on a simple pre-post comparison, it is possible that the estimates of the impact of health reform reflect both the changes under health reform and factors beyond health reform that changed over the same period, leading to biased estimates of the impacts of reform (Lawrence B. Mohr 1995). This paper expands on the earlier work to estimate the impacts of health reform in Massachusetts using new data and a stronger research design. Specifically, we rely on data over time for Massachusetts and other states from the Current Population Survey (CPS) to estimate difference-in-differences (DD) models (Jeffrey M. Wooldridge 2002).