Announcement

Collapse
No announcement yet.
X
  • Filter
  • Time
  • Show
Clear All
new posts

  • Finding out the reason for collinearity

    This sounds very dumb actually. But I tried to control for treatment type (T1, T2, and T3) in the regression results below, and all of them are omitted due to collinearity. Actually, there are four treatment types: T1, T2, T3, and CONTROL. I left out CONTROL as a base for comparison.

    Having said that, is there a way to figure out why this is happening? I know this is difficult without actually looking at the data though.

    Thanks!


    Click image for larger version

Name:	Omitted.png
Views:	1
Size:	41.2 KB
ID:	1487610


  • #2
    Well, without more information about the data it is impossible to be sure. But here's the most likely scenario. If T1, T2, and T3 are properties of a hhid that do not change over time, then they are colinear with the fixed effects. So their effects cannot be estimated in a fixed-effects model. Only things that change over time can be estimated in a fixed-effects model.

    Comment


    • #3
      Clyde, that was awesome. Thanks. I totally forgot to make it time-variant.

      Comment

      Working...
      X