Hi Stata users,
I'd like to ask for your help. I read STATA manual pdf on post-estimation for mixed-effects linear regression model, however, I still don't get which tests I need to use to confirm the normality of the residuals (because my data is non-distributed). And how to read the results of post-estimation for me to determine whether the model fits well and if the non-distributed data was okay to be used.
Here's my command for the mixed model: mixed health t_in rh_in i.race || Homeid:
Thank you for your help.
Related Posts with Post-estimation tests or heteroskedasticity check to confirm normality of the residuals?
Normality test and intrpretation of swilk shapiro testDear All Can help me confusions i had while checking the noramlity of data.I have checked with histo…
Create an indexI need to group 3 variables to build an index in Stata. Each variable refers to a question in a ques…
error:*convergence not achievedHello everyone I am getting the error: convergence not achieved and I don't know why. I am using …
Interpreting impulse response with log percentage as dependent variable and first difference of share as independent oneHello everyone, I estimate a VAR model where the dependent variable is log-transformed percentage (…
Interpreting results: 1-standard-deviation increase in an explanatory variableThis table provides results of the analysis of the role of tax avoidance on returns. The dependent v…
Subscribe to:
Post Comments (Atom)
0 Response to Post-estimation tests or heteroskedasticity check to confirm normality of the residuals?
Post a Comment