Dear colleagues,
I have regressed an ordered ordinal outcome y = {1,2,3,4,5,6,8.9,10} on explanatory variables, so far using simply -oprobit y x1 x2 x3 x4 x5-. This has successfully told me the marginal impact of each of x1 through x5 on the value of y.
Now I would like to know how close each observation was to being placed one category lower. I think I would want to assess this with the distance between the latent score L_i and the next lower cutoff LC_i. When I look at the cutoff values, the distances between upper cutoff UC and lower cutoff LC differ across values of y, so presumably I should look for each observation i not just at (L_i - LC-i), but rather at (L_i - LC_i) / (UC_i - LC_i) to scale the distance by the total range of each latent score range?
If this reasoning makes sense, how do I best implement this in Stata? I have not so far figured out how to access the latent score L_i and lower cutoff LC_i for each observation i after running -oprobit-. It looks like I can also estimate an Ordered Probit model with -gsem- but would anyone understand how exactly I need to specify the command then?
Thanks so much!
PM
Related Posts with Distance between latent score and lower cutoff after Ordered Probit?
Messed Up Title Formatting: Twoway ScatterplotEdit: Wow I'm silly, of course the issue is the space between title and the parenthesis. Please disr…
Diff GMM Stationarity ConcernsHi all, I am conducting an analysis with T=32 (quarters) and N=52 using difference GMM. I have my r…
High R-sqaured, Low Variable SignificanceHi everyone! I am currently working on a project that used secondary data and struggle a bit with th…
MergingI am using time use survey 2019 in India.I have extracted 5 datasets of different levels.In level5 e…
Grouping Together Industries- Should I use Varlist?I am analyzing the effect of Covid on unemployment and I believe a major explanatory factor is the i…
Subscribe to:
Post Comments (Atom)
0 Response to Distance between latent score and lower cutoff after Ordered Probit?
Post a Comment