Announcement

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

  • Interaction terms: significance and interpretation

    Hi,

    I'm currently performing a conditional logit with FE with some interactions.

    I, as an example, interact a dummy variable indicating a game session number (taking the value of 2 or 3) with a continuous variable (a "cheating observation rate"). I have the following results:
    Click image for larger version

Name:	image_32594.png
Views:	1
Size:	23.3 KB
ID:	1730526




    I'm not sure how should I interpret the results for the interaction term. Does this suggest that what I called "cheating observation rate" does indeed have a negative relationship with my dependent variable, but only during session 2?
    Last edited by Marine Jouvin; 17 Oct 2023, 01:55.

  • #2
    Hi, with logit it is difficult to interpret the coefficients right away. You can only interpret the signs, and I would agree with your interpretation.
    Nevertheless, I suggest you use the command margins (e.g. margins, dydx(cheating rate) over(sesstion) ) and then you can have an easier interpretation of your results.

    Comment


    • #3
      Hi Luca,

      Thanks for your answer ! Indeed, I use margins rather than the coeffs. I have a related question.

      Here are the results from a same xtlogit regression with FE as in my previous post, displaying coeffs :

      Click image for larger version

Name:	Coefs.png
Views:	1
Size:	7.9 KB
ID:	1730559



      Here are the margins for every variable in the model (except the interaction one), obtained with
      Code:
      margins, dydx(*) post
      :

      Click image for larger version

Name:	Margins variable.png
Views:	1
Size:	2.4 KB
ID:	1730560



      And here are margins for the interaction term, obtained with
      Code:
      margins, dydx(prev_cheat_rate) over(id_session)
      :
      Click image for larger version

Name:	margins interaction..png
Views:	1
Size:	10.7 KB
ID:	1730561


      I was wondering which margin should I report for the variable "prev_cheat_rate" ? Should I report the margin associated with "prev_cheat_rate" (-.281) or the one associated with prev_cheat_rate##session 1 (-.106) ?



      Comment


      • #4
        It depends on what you want to argue/show. Both are valid measures to be reported.
        The average marginal effect of prev_cheat_rate for all session is obtained from: margins, dydx(*) post. -0.106 is the effect of prev_cheat_rate in the first session.
        I really don't know what you are estimating, I would very broadly suggest that if you want to show the effect of the cheat rate overall show the -0.28; if you want to show how it varies by session show the second table

        Comment

        Working...
        X