Hi all,
I am examining the interaction effect between X and Y (outcome var is Z) using fixed effects model. However, I have reason to suspect that simply adding an interaction term may not well capture the real picture of how the effect of X on Z varies across the level of Y. So I am wondering if there is any statistical methods (and Stata package) that can determine if there is any cutoff points (in terms of, for instance, percentile i of Y) along the range of Y, around which the effect of X on Z is statistically significantly different from each other below and above the cutoff point?
Thank you very much!
Related Posts with alternative to interaction term in regression
barchart: how to put the frequency axis on a log scaleDear all: I have a categorical variable with vastly unequal frequencies. I would like to display th…
Getting the average of all combinations of different variables in stataI'm trying to get the average hours used by individuals of different combinations of characteristics…
Principal Component Analysis for Constructing a Wealth IndexI want to create a DHS-style wealth index using Principal Component Analysis. I have 27 binary varia…
Fuzzydid with large datasetI am analysing the effect of a social transfer earmarked for energy consumption on the consumption o…
getting putdocx to change the display format to %12.0fcDear Statalisters, could you please help with a conundrum I have not been able to resolve myself. …
Subscribe to:
Post Comments (Atom)
0 Response to alternative to interaction term in regression
Post a Comment