Stata/MP 14.2. No access to internet.
My data is longitudinal, with 128 individuals and around 700 consecutive daily observations per individual. There can be many zeros per individual or there might be many non-zero outcomes, just depends on the case.
How can I compare the goodness of fit of two nested models fitted with clogit with robust or clustered standard errors?
lrtest is not an option according to Stata.
I have found nothing on the internet or in the documentation.
Related Posts with How to compare nested clogit with robust or clustered standard errors
Regression results: omitted standard errors and other statisticsHi Everyone, I am trying to estimate the impact of a policy on an outcome that contains 17% zeros (…
RDD with categorical outcome variableI am just wondering if there is anyone out there able to perform rdrobust with categorical outcome v…
Diff-in-diff and parallel trend assumptionThis question is not strictly related to Stata, I will remove if it is inappropriate. In a diff-in-…
Fixed effects in -xtpcse-Hello everyone, I'm running an analysis with TSCS data and test statistics reveal the presence of a…
Difference in Difference SignificanceHi all, I'm trying to figure out whether there has been a change in the ratio of liquid assets to t…
Subscribe to:
Post Comments (Atom)
0 Response to How to compare nested clogit with robust or clustered standard errors
Post a Comment