Examining the association of changes in minimum wage with health across race/ethnicity and gender in the United States

Table 12 Marital Status and Relationship to Minimum Wage, Access to Care, and Health (All Races)

Outcome	Total		Men		Women
Outcome	Married	Single	Married	Single	Married	Single
Access to Care
No Health Insurance¹	-.02 N=486 874	-.02 N=383 034	-.03 N=235 988	-.03 N=163 616	-.02 N=250 886	-.01 N=219 418
Missed care due to cost¹	-.00 N=460 731	-.02 N=362 133	-.00 N=223 198	-.02 N=154 873	-.00 N=237 533	-.01 N=207 260
Health Behavior
No exercise¹	-.00 N=436 872	-.00 N=345 057	.01 N=211 280	-.00 N=147 215	-.01 N=225 592	-.00 N=197 842
Fruit Consumption²	1.03 N=251 012	1.03 N=195 150	1.05 N=120 685	1.02 N=82 472	1.01 N=130 327	1.04 N=112 678
Vegetable Consumption²	1.04 N=250 015	1.06 N=193 587	1.05 N=120 005	1.06 N=81 658	1.04 N=130 010	1.07 N=111 929
Alcohol Consumption²	1.02 N=306 208	.99 N=248 573	1.02 N=158 076	.98 N=115 741	1.00 N=148 132	1.03 N=132 832
Health Outcomes
Self-reported poor health¹	-.00 N=486 541	.01 N=382 916	.00 N=235 872	.01 N=163 731	-.00 N=250 669	-.00 N=219 185
Self-reported HTN¹	.00 N=266 322	.01 N=208 086	.00 N=128 816	.01 N=88 433	.00 N=137 506	.00 N=119 653
Unhealthy Days²	1.03 N=480 726	1.01 N=377 619	1.03 N=233 165	1.02 N=161 614	1.02 N=247 561	1.00 N=216 005
Poor Mental Health Days²	1.05 N=476 342	1.01 N=372 555	1.07 N=231 271	1.02 N=159 433	1.02 N=245 071	.99 N=213 122
Poor Physical Health Days²	1.01 N=476 413	1.02 N=372 941	1.01 N=231 279	1.04 N=159 752	1.02 N=245 134	1.01 N=213 189

The data source is BRFSS (1993-2014 panels). Linear Probability Models and Poisson Regression Models are used to examine dichotomous and count outcomes, respectively. All models control for state earned income tax credit rate, refundability of state earned income tax credit, Maximum food stamp allotment for a family of 3 maximum TANF allotment for a family of 3, 1-year lagged GDP, comprehensive Medicaid expansion, age, race/ethnicity, education and having minor children, year as well as state fixed-effects. All models are weighted for complex survey design and non-response. Total population models also control for gender. Standard errors are robust and clustered at the state level. Results of LPMs and PRMs are presented as percentage point differences in the probability of an outcome and Rate Ratios, respectively. All monetary values are inflation-adjusted. Boldface indicates statistical significance. Significance levels: *(access to care: p-value-.025, health behaviors: p-value-.0125, and health outcomes: p-value .010) Notes: 1. Marginal effect 2. Rate Ratio; Bold indicates statistical significance.

ISSN: 1471-2458