Addressing Endogeneity with interaction terms (moderators, PLS-MGA)

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Joined: Wed Aug 14, 2019 2:56 pm
Real name and title: Lennart Jaeger

Addressing Endogeneity with interaction terms (moderators, PLS-MGA)

Post by ljaeger » Wed Aug 14, 2019 3:09 pm

Hi all,

in their recent paper, Hult et al. (2018) mention that they did not address how to deal with endogeneity issues in PLS path models that include interaction terms (e.g., moderator variables). I was wondering if there was any recent development in this regard?

Particularly, I am interested in how I could also address endogeneity in PLS-MGA with the different approaches mentioned by the authors (instrumental variable, Gaussian copula, etc.). In other words, how endogenity could be also addressed for the grouping variable or the respective two models.

I'd be happy to hear any comments regarding its feasibility or references that could help.

Thank you.


Hult, G. Tomas M., Joseph F. Hair Jr, Dorian Proksch, Marko Sarstedt, Andreas Pinkwart, and Christian M. Ringle. "Addressing endogeneity in international marketing applications of partial least squares structural equation modeling." Journal of International Marketing 26, no. 3 (2018): 1-21.

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