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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

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Dr Thanos Andrikopoulos
Lecturer in Finance & Programme Director BSc Financial Management at University of Hull


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.

Journal Article Type Article
Publication Date 2020-04
Journal International Journal of Hospitality Management
Print ISSN 0278-4319
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 86
Pages 102441
APA6 Citation George Assaf, A., Tsionas, M. G., & Andrikopoulos, A. (2020). Testing moderation effects using non-parametric regressions. International Journal of Hospitality Management, 86, 102441.
Keywords Tourism, Leisure and Hospitality Management; Strategy and Management


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