Dealing with Endogeneity: A Nontechnical Guide for Marketing Researchers
By Peter Ebbes, Dominik Papies, Harald J. van Heerde. 2016
110 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Marketing, Tourism, Leisure and Hospitality Management
View Paper: https://www.semanticscholar.org/paper/2f2a9217a65138ea959fc3377bf6cc06af6348d9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Marketing
- Hiram Ting
- Jun-Hwa (Jacky) Cheah
- Marko Sarstedt
- Christian M. Ringle
- O. Moisescu
- Lăcrămioara Radomir
- Joseph F. Hair
- Jörg Henseler
In Tourism, Leisure and Hospitality Management
- Marko Sarstedt
- Christian M. Ringle
- Jun-Hwa (Jacky) Cheah
- Hiram Ting
- Anna Nosella
- Lara Agostini
- Joseph F. Hair
- Jörg Henseler
Citations in the corpus
- The adoption of Industry 4.0 technologies in SMEs: results of an international study (2019, methodology): “This also allows considering the issue of endogeneity, as suggested by previous research (e.g. Ebbes et al., 2017; Hult et al., 2018).”
- Endogeneity and marketing strategy research: an overview (2019, background): “For more in-depth technical treatment of endogeneity, we refer the reader to such articles as Ebbes et al. (2016) or Papies et al. (2017).”
- Structural model robustness checks in PLS-SEM (2020, background): “While endogeneity can have several roots (Ebbes et al., 2016; Papies et al., 2016), it mostly arises from omitted constructs that correlate with one or more predictor constructs and with the dependent construct in a partial regression of the PLS path model.”