Hello,
I have a general question about how to interpret regression coefficients, when you have more than one interaction term.
I am aware that with one interaction term (between the independent variables X and Z), the coefficient of X should be interpreted as the effect of X on Y, when Z=0. To find the effect of X on Y when Z=1, I would add the coefficients of X and X#Z.
I suppose that if if I have two interaction terms (X#Z and X#W), the coefficient of X should be interpreted as the effect of X on Y, when Z=0 and W=0. But I am not sure how to interpret the coefficient of the interaction terms. Should the coefficient of X#Z be interpreted as the interaction effect when W=0 or does the inclusion of X#W not change how to interpret X#Z? And what does it mean if the coefficient of X#Z is significant or not?
Best regards,
Magnus Jensen
Related Posts with Interpreting coefficients with two interaction terms
GLS Fixed Effects regression, Omitted because of CollinearityDear Stata community, Hi, I have a panel data (Company ID, years) independent variables(MTB, size, …
Clarification on Methods used for 95% CI Calculation in sts list CommandsHello, Would anyone be able to clarify the following three questions about the methods Stata uses t…
Resize graphs for putexcel but obtain good qualityDear all I am creating a data report with Excel and use putexcel to transfer the Stata graphs to ex…
generating a new variable based on 2 conditionshello there new stata user i have a dataset that look like this date_m com date com_ret Date com_c…
adjustrcspline errorI'm trying to fit an stcox model with cubic splines to see the association between mortality and rat…
Subscribe to:
Post Comments (Atom)
0 Response to Interpreting coefficients with two interaction terms
Post a Comment