@richard-williams.bsky.social is an angel and made a minor update to golgit2 so that it works smoothly with meinequality and totalme.

So, just update to the newest gologit2:

adoupdate gologit2, update

And you should be good to go.

Love it. Better than an actual donut chart too: www.jaspersoft.com/articles/wha...

But it was a really good idea!

Indeed! A secret methodologists don't tell everyone is that we usually create new methods out of selfishness for solving annoying problems we face in our own work 😅.

For Stata users, we wrote two new commands that implement our methods: MEinequality and totalME www.trentonmize.com/software. For R users, we provide template code which implements our methods: www.trentonmize.com/research/miz...

ME inequalities and total MEs have myriad applications. They can summarize effects, they enable comparisons of effects sizes across variables, they simplify tests of interactions, they can be used in tests of mediation, they can be used to compare effects across groups, and more.

With nominal/ordinal outcomes, we are often interested in the overall effect on the outcome rather than effects on each category. For example, how age or marital status affect self-rated health as a holistic construct. We develop a total marginal effect (ME) measure as a summary measure.

Does the nominal independent variable (IV) in the left or right panel have a larger effect? Intuitively, it is the one on the right because it patterns more unequal outcomes. We develop a marginal effect (ME) inequality statistic which summarize the holistic effect of a nominal or ordinal IV.

You even made the acknowledgements!

For more intensive obligatory roles, role-accumulation is beneficial only for the young and middle-aged. But there is a silver lining here: older adulthood is associated with obligatory role loss, and the null findings for them suggest resilience and strong mental health in the face of role loss.

As sociological theories of identity and role-accumulation predict, voluntary roles are beneficial for mental health at all ages. In contrast to some theories of aging, they are even more beneficial for the oldest adults who tend to hold fewer social roles overall.

Love a good hot take. In my experience the coefficients across the two almost never differ meaningfully. But those are effects on the rate/count. You often do see quite different predictions for the observed count (e.g. Pr(y=0)) and Poisson is usually very wrong and NB much closer in these cases.

Thanks for making this. Can you please add me?

This is so useful! Please add me 😊.

Many of these methods use under the hood…a logit 😋.