# Table 2 The Relationship of Minimum Wage, Access to Care, Health Behaviors and Health (All Races)

Outcome Total Men Women
Wage Ratio Minimum Wage Wage Ratio Minimum Wage Wage Ratio Minimum Wage
No Health Insurance1 -.02 (−.03,-.02) N = 869,908 -.03 (−.04,-.02) N = 869,908 -.03 (−.04,-.02) N = 399,604 -.04 (−.05, −.03) N = 399,604 −.01 (−.02,-.01) N = 470,304 −.02 (−.03,−.01) N = 470,304
Missed care due to cost1 −.01 (−.01,-.00) N = 822,864 −.01 (−.02,-.01) N = 822,864 -.01 (−.02, −.00) N = 378,071 −.02 (−.03, −.01) N = 378,071 −.01 (−.02,.00) N = 444,793 −.01 (−.02, −.00) N = 444,793
Health Behavior
No exercise1 −.00 (−.01,.01) N = 781,929 .01 (−.00,.02) N = 781,929 .00 (−.01, .01) N = 358,495 .01 (−.01, .02) N = 358,495 −.01 (−.02,.00) N = 423,434 .00 (−.01,.02) N = 423,434
Fruit Consumption2 1.03 (1.00,1.06) N = 446,162 1.01 (.98,1.04) N = 446,162 1.04 (.99,1.08) N = 203,157 1.02 (.97,1.06) N = 203,157 1.02 (.99,1.05) N = 243,005 1.00 (.96,1.04) N = 243,005
Vegetable Consumption2 1.05 (1.03,1.07) N = 443,602 1.01 (.99,1.03) N = 443,602 1.05 (1.02,1.08) N = 201,663 1.01 (.97,1.04) N = 201,663 1.05 (1.02,1.08) N = 241,939 1.01 (.99,1.04) N = 241,939
Alcohol Consumption2 1.01 (.98,1.03) N = 554,781 1.00 (.96,1.03) N = 554,781 1.01 (.97,1.04) N = 273,817 .99 (.95–1.03) N = 273,817 1.01 (.97,1.05) N = 280,964 1.00 (.96,1.05) N = 280,964
Health Outcomes
Self-reported poor health1 .00 (−.00,.01) N = 869,457 −.00 (−.01,.01) N = 869,457 .01 (−.00,.02) N = 399,603 .00 (−.01,.01) N = 399,603 −.00 (−.01,.00) N = 469,854 −.01 (−.02,.00) N = 469,854
Self-reported HTN1 .00 (−.00,.01) N = 474,408 .00 (−.01,.02) N = 474,408 .01 (−.01,.02) N = 217,249 .01 (−.01,.02) N = 217,249 .00 (−.01,.01) N = 257,159 .00 (−.01,.02) N = 257,159
Unhealthy Days2 1.02 (.99,1.05) N = 858,345 1.00 (.97,1.04) N = 858,345 1.03 (.99,1.07) N = 394,779 1.01 (.96,1.07) N = 394,779 1.01 (.98,1.04) N = 463,566 .99 (.96,1.03) N = 463,566
Poor Mental Health Days2 1.03 (.99,1.07) N = 848,897 1.01 (.97,1.05) N = 848,897 1.05 (.99,1.11) N = 390,704 1.03 (.96,1.10) N = 390,704 1.01 (.97,1.05) N = 458,193 .99 (.94,1.04) N = 458,193
Poor Physical Health Days2 1.02 (.98,1.06) N = 849,354 1.00 (.96,1.05) N = 849,354 1.02 (.96,1.09) N = 391,031 1.01 (.94,1.09) N = 391,031 1.01 (.97,1.06) N = 458,323 .99 (.94,1.05) N = 458,323
1. 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, marital status, 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) (Bonferroni-corrected 95% confidence Intervals in parenthesis). Notes: 1. Marginal effect 2. Rate Ratio; Bold indicates statistical significance