Rights statement: This is the author’s version of a work that was accepted for publication in International Journal of Hospitality Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Hospitality Management, 86, 2020 DOI: 10.1016/j.ijhm.2019.102441
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Final published version
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Testing moderation effects using non-parametric regressions
AU - George Assaf, A.
AU - Tsionas, M.G.
AU - Andrikopoulos, A.
N1 - This is the author’s version of a work that was accepted for publication in International Journal of Hospitality Management. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in International Journal of Hospitality Management, 86, 2020 DOI: 10.1016/j.ijhm.2019.102441
PY - 2020/4/30
Y1 - 2020/4/30
N2 - 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.
AB - 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.
KW - Functional form specification
KW - Moderation effects
KW - Non-parametric regressions
U2 - 10.1016/j.ijhm.2019.102441
DO - 10.1016/j.ijhm.2019.102441
M3 - Journal article
VL - 86
JO - International Journal of Hospitality Management
JF - International Journal of Hospitality Management
SN - 0278-4319
M1 - 102441
ER -