Dear list members,
after running some -ivregress2 2sls- and -ivprobit- regressions, I am unsure which specifications have excessive multi-collinearity. I understand that running the -vif- command after the regressions should tell me but I am still unsure about the following:
(1) Am I right in assuming that any regressor that gets a VIF>10 should be dropped, including if it gets a value of just say 10.50?
(2) Other than after -reg-, after both -ivregress2 2sls- and after -ivprobit- I get the error that I cannot use -vif- but only -vif, uncentered-, which compared to the simple -vif- after -reg- seems to always yield higher estimates. Am I right in assuming that then indeed the uncentered version is appropriate and I need to drop any regressor yielding a VIF>10 there?
(3) I tried to export the VIF results into -outreg2- with the option -addstat(VIF,e(vif))- but got a syntax error and did not find a more suitable syntax for this in the help file examples. How do I instead get the VIF results to be displayed directly in my Excel regression table?
Thank you so much!
PM
Related Posts with VIF test of multi-collinearity
How to predict survival curve or risk beyond study time after Cox or parametric models?Dear Stata Users, Normally, predicting survival curves within study time after Cox or any parametri…
Data collapseHi I have data on a number of lat & lon. Each lat & long combination has daily data on tem…
IV regressions - modifying datesHi, I am working on a panel data set with 20 countries and quarterly data. The dependent variable i…
Keep multiple observations in a variableDear Statalist I have a dataset that include 179 countries. However, i only want to keep 51 of them…
Twoway bar and line with 2 y-axes and labelsHello I am having some data from IMF for a panel data for countries. Countries are classified by inc…
Subscribe to:
Post Comments (Atom)
0 Response to VIF test of multi-collinearity
Post a Comment