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

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

Outcome Total Men Women
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
  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, 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