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
Dipendent Double-Sorting 25 PortfoliosDear all, I am struggling to replicate the FF-25 portfolios with a variant, I should employ a depend…
Interaction between variables changes the results fundamentally!Dear All, I would appreciate your help on the following please: The correlation between y and x1 x2 …
traj command with hierarchical data structureI'm interested in using the user-written traj command (link below) to identify latent trajectories o…
Weighted least squares (WLS) with wls0 and regwlsDear Statalist, I am conducting a long-run event study with the use of the Fama French 3 Factors mod…
Generate variables with forvalsHello Statalist, I have a dataset which contains the following variables: firm (every firm has an as…
Subscribe to:
Post Comments (Atom)
0 Response to VIF test of multi-collinearity
Post a Comment