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Testing moderation effects using non-parametric regressions

George Assaf, A.; Tsionas, Mike G.; Andrikopoulos, Athanasios


A. George Assaf

Mike G. Tsionas


Testing moderation effects is highly common in the hospitality literature. Most theories in the field depend on variables that alter the nature and direction of the relationship between two variables. While moderation continues to be heavily used, methods for testing moderation effects are not always robust. One common problem that researchers often face is the need to pre-assign a particular functional form. The aim of this note is to address this problem. We describe three different non-parametric models that offer more flexibility in testing moderating effects without a need to pre-impose a specific functional form. We test the three models on an interesting application involving the moderating role of corporate social responsibility (CSR) on the relationship between advertising and firm value. The results revealed interesting moderating effects that go beyond the simple linear moderation.


George Assaf, A., Tsionas, M. G., & Andrikopoulos, A. (2020). Testing moderation effects using non-parametric regressions. International Journal of Hospitality Management, 86, Article 102441.

Journal Article Type Article
Acceptance Date Dec 9, 2019
Online Publication Date Jan 11, 2020
Publication Date 2020-04
Deposit Date Jan 13, 2020
Publicly Available Date Oct 27, 2022
Journal International Journal of Hospitality Management
Print ISSN 0278-4319
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 86
Article Number 102441
Keywords Functional form specification; Moderation effects; Non-parametric regressions
Public URL
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