Panel Paper:
State Minimum Wages and Obesity, Diabetes, and Hypertension
*Names in bold indicate Presenter
At the Northwest Federal Statistical Research Data Center, we accessed annual restricted National Health Interview Survey (NHIS) data linked to state-level measures of minimum wage policies, other related policies, and state economic conditions. We estimated the associations between effective state minimum wages (adjusted for inflation) and obesity, BMI, diabetes, and hypertension. Obesity was defined as a body mass index (BMI) of ≥30kg/m2 based on self-reported height and weight data and was examined as a binomial indicator and continuous BMI. Diabetes and hypertension were defined as an affirmative response to a physician diagnosis. We used logistic and linear triple difference-in-differences (DDD) models, with the pseudo-treatment group defined as respondents with a high school diploma or less. We adjusted for individual age, gender, race/ethnicity, citizenship status, region of residence, urban versus rural residence, as well as state sales tax rate, unemployment, Earned Income Tax Credit and Supplemental Nutritional Assistance Program rules. Models were additionally adjusted for state and year fixed effects as well state linear time trends. Sub-group models were estimated by gender and race/ethnicity. Linearized standard errors were clustered by state.
We found no evidence of a relationship between minimum wages and obesity, BMI, hypertension, or diabetes for the general population of less-educated workers. However, there was a significant positive relationship between minimum wage, obesity, and BMI among non-white and Hispanic adults with a high school diploma or less. These results point to the importance of considering heterogeneous policy impacts of minimum wages in research and in policy discussions.