Hello,
I am trying to replicate figure 3 in the paper by Ho & Park (2019) – I have attached an image of the graph. I am running a multinomial logistic regression and I would like the predicted probabilities of employment transitions by living arrangement transitions.
My outcome has four categories (consistently employed (base category), unemployed-employed, employed-unemployed and consistently employed). My living arrangement is also categorical (no change, both to one and both to neither). This is what I have managed to produce, however, I am unable to format the graph so it looks like Ho & Parks.
Attached are the two graphs (the one I produced in Stata and the one by Ho & Park). In the graph by Ho & park, predicted probabilities for the base category are plotted on the left vertical axis and the predicted probabilities for the remaining three categories are plotted on the right vertical axis.
Article:
Ho, P., & Park, H. (2019). Young Adults' Patterns of Leaving the Parental Home: A Focus on Differences Among Asian Americans. Journal of Marriage and Family, 81(3), 696-712.
Thank you.


I am trying to replicate figure 3 in the paper by Ho & Park (2019) – I have attached an image of the graph. I am running a multinomial logistic regression and I would like the predicted probabilities of employment transitions by living arrangement transitions.
My outcome has four categories (consistently employed (base category), unemployed-employed, employed-unemployed and consistently employed). My living arrangement is also categorical (no change, both to one and both to neither). This is what I have managed to produce, however, I am unable to format the graph so it looks like Ho & Parks.
Code:
svyset Fpsu [pw = panel_wt_12_18 ], strata(gov1) svy: mlogit change2 i.releducLG i.matempLG i.fatempLG i.coresidenceCH, rrr margins coresidenceCH mplotoffset, recast(scatter) offset(0.1)
Article:
Ho, P., & Park, H. (2019). Young Adults' Patterns of Leaving the Parental Home: A Focus on Differences Among Asian Americans. Journal of Marriage and Family, 81(3), 696-712.
Thank you.
Comment