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

Table 9 High vs. Low Wage in Minimum Wage, Access to Care, and Health (Whites)

Outcome	Total		Men		Women
Outcome	High Wage	Low Wage	High Wage	Low Wage	High Wage	Low Wage
Access to Care
No Health Insurance¹	-.00 N=532 351	.00 N=91 312	-.00 N=247 036	-.00 N=42 089	-.01 N=285 315	.00 N=49 223
Missed care due to cost¹	-.01 N=507 490	.02 N=82 224	-.01 N=235 621	.01 N=37 785	-.01 N=271 869	.03 N=44 439
Health Behavior
No exercise¹	.00 N=469 800	.01 N=87 238	.01 N=217 393	.01 N=40 147	-.01 N=252 407	.01 N=47 091
Fruit Consumption²	1.02 N=279 360	1.23 N=42 729	1.03 N=128 598	1.48 N=19 366	1.01 N=150 762	1.00 N=23 363
Vegetable Consumption²	1.04 N=278 403	.87 N=42 620	1.04 N=128 004	.87 N=19 321	1.04 N=150 399	.86 N=23 299
Alcohol Consumption²	1.01 N=344 710	1.06 N=59 306	1.01 N=169 790	1.10 N=29 417	1.02 N=174 920	.95 N=29 889
Health Outcomes
Self-reported poor health¹	.00 N=532 128	.01 N=91 285	.01 N=247 043	.00 N=42 071	-.01 N=285 085	.01 N=49 214
Self-reported HTN¹	-.00 N=296 142	.02 N=47 407	-.00 N=137 269	.03 N=21 677	-.00 N=158 873	.00 N=25 730
Unhealthy Days²	1.00 N=525 105	.99 N=90 634	1.02 N=243 959	.95 N=41 816	.99 N=281 146	1.05 N=48 818
Poor Mental Health Days²	.99 N=519 615	.98 N=89 654	1.01 N=241 610	.96 N=41 386	.98 N=278 005	1.00 N=48 268
Poor Physical Health Days²	1.02 N=520 554	1.07 N=89 774	1.05 N=242 059	.98 N=41 442	1.00 N=278 495	1.18 N=48 332

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, 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). Notes: 1. Marginal effect 2. Rate Ratio

ISSN: 1471-2458