Assessing endogeneity issues in international marketing research
By Ruey-Jer "Bryan" Jean, Ziliang Deng, Daekwan Kim, Xiaohui Yuan. 2016
115 citations recorded by the source corpus.
Subfields: Accounting, Economics and Econometrics, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/29be52bd842b2c9b7eb8162452a54f8ddc9d4eff
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Accounting
- A. Pinkwart
- Vita Kadile
- G. Tomas M. Hult
- Dorian Proksch
- Joseph F. Hair
- Marko Sarstedt
- Ghasem Zaefarian
- Christian M. Ringle
In Economics and Econometrics
- A. Pinkwart
- Vita Kadile
- G. Tomas M. Hult
- Dorian Proksch
- Joseph F. Hair
- Marko Sarstedt
- Ghasem Zaefarian
- Stephan C. Henneberg
In Strategy and Management
- Christian M. Ringle
- Marko Sarstedt
- Joseph F. Hair
- Vita Kadile
- G. Tomas M. Hult
- Stephan C. Henneberg
- H. Vu
- Jörg Henseler
Citations in the corpus
- Endogeneity bias in marketing research: Problem, causes and remedies (2017, background): “Endogeneity is a major concern in many areas of marketing and related research, which rely on employing regression-based analyses with the aim to draw causal inferences (Jean et al., 2016).”
- Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling (2018, methodology): “…method advances in these directions, assessing the efficacy of other approaches for handling endogeneity, such as the lagged variable approach (Jean et al. 2016), the cross-lagged correlation procedure (Tyagi and Wotruba 1993), the Arellano–Bond (1991) estimator (Kumar and Pansari 2016), and…”