Testing moderation effects using non-parametric regressions

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

Abstract

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.

Citation

George Assaf, A., Tsionas, M. G., & Andrikopoulos, A. (2020). Testing moderation effects using non-parametric regressions. International Journal of Hospitality Management, 86, Article 102441. https://doi.org/10.1016/j.ijhm.2019.102441

• 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
• DOI: https://doi.org/10.1016/j.ijhm.2019.102441
• Keywords: Functional form specification; Moderation effects; Non-parametric regressions
• Public URL: https://hull-repository.worktribe.com/output/3362122
• Publisher URL: https://www.sciencedirect.com/science/article/abs/pii/S0278431919312344?via%3Dihub