Testing the difference in slopes across mixed models with different dependent variables

[Al Adams]

Hi, I am interested in testing whether two slopes are statistically significantly different across two different outcomes. For example, let's say I have the following code:

*Model 1
mixed income1 age group c.age#c.group || id: age, cov(un) mle

*Model 2
mixed income2 age group c.age#c.group || id: age, cov(un) mle

I would like to know if the coefficient for c.cage#c.group in Model 1 is statistically significantly higher or lower than the coefficient for c.age#c.group in Model 2. How would I go about doing this?

I have found similar questions about testing the equality of coefficients *within* models, but I have not seen one about testing the equality of coefficients across models

[Al Adams]

Just bumping this up