MEDIATION IN CAUSAL LOG-LINEAR MODELS

Authors

  • Gloria Gheno Ca'Foscari University of Venice and ECLT, Italy Author

DOI:

https://doi.org/10.20472/ES.2016.5.3.003

Keywords:

Causal effects, Customer satisfaction, Interaction, Log-linear model, Mediation, Parallel mediators

Abstract

The analysis of the causality is important in many fields of research. To obtain the causal effects in a causal log-linear model I propose a theory, using the odds ratio and the concepts proposed by Pearl, whenever possible. I start calculating the effects in a simple mediation model where I analyze a new interaction effect, which I call cell. After I calculate the effects in a mediation model with two parallel mediators. If they are correlated, Pearl's theory cannot be used and no alternative theory has been proposed so far. To resolve this issue I present a new concept of causality. The mediation models are essential in the marketing, then to it, for a more complex analysis, I apply my causal theory.

 

Data:
Received: 15 Jun 2016
Revised: 10 Aug 2016
Accepted: 6 Sep 2016
Published: 20 Sep 2016

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Published

2016-09-20

How to Cite

Gheno, G. (2016). MEDIATION IN CAUSAL LOG-LINEAR MODELS. International Journal of Economic Sciences, 5(3), 33-49. https://doi.org/10.20472/ES.2016.5.3.003