Code for multiple interaction effects

[Jelle de Vries]

I have a question regarding multiple interaction effects in the same model. I'm doing research on the effect of ESG performance (IV) on high-growth (binary DV) and how growth mode (organically through innovation vs inorganically through acquisitions) moderates this relationship. I want to include both moderators in the model at the same time. How do I correctly write the code for this? If I include two interaction effects it omits ESGscore because of collinearity. See below

xtprobit hgfstatus c.esgscore##i.acquisitions c.esgscore##c.rdintensity, re vce(robust)
note: esgscore omitted because of collinearity.

The following option I found online on how to incorporate multiple moderators also yields me a 'triple' interaction effect. Is this the correct way to measure the moderating effect of both R&D intensity and acquired growth on the relationship between ESG performance and firm growth? How do I interpret this interaction effect between the three variables?

xtprobit hgfstatus c.esgscore##c.rdintensity##i.acquisitions, re vce(robust)

[Carlo Lazzaro]

Jelle:
welcome to this forum.
Your last code seems correct.
Personally, I shy away from triple interactions, as they are difficult to explain to a non-technical audience.