Even the Rich Can Make Themselves Poor: A Critical Examination of IV Methods in Marketing Applications
By Peter E. Rossi. 2014
168 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Marketing
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
- A. Pinkwart
- Guanyi Lu
- Isabell Lenz
- Hauke A. Wetzel
- G. Tomas M. Hult
- Maik Hammerschmidt
- Dorian Proksch
- Charles Kang
In Marketing
- Marko Sarstedt
- Christian M. Ringle
- Joseph F. Hair
- Jörg Henseler
- G. Tomas M. Hult
- A. Pinkwart
- Dorian Proksch
- Jun-Hwa (Jacky) Cheah
Citations in the corpus
- Addressing Endogeneity in International Marketing Applications of Partial Least Squares Structural Equation Modeling (2018, methodology): “…Papies, Ebbes, and van Heerde 2017; Sande and Ghosh 2018), endogeneity problems most often arise from the omission of variables that correlate with one or more independent variable(s) and the dependent variable(s) in the regression model (e.g., Bijmolt, van Heerde, and Pieters 2005; Rossi 2014).”
- Endogeneity and marketing strategy research: an overview (2019, methodology): “, lagged values) of an endogenous variable as a potential instrument, however these previous values only have potential as instruments if the researcher is certain unobserved shocks are limited to the period of estimation (Rossi 2014; Papies et al. 2017). However, if the IV used is not itself strong”
- Relating Online, Regional, and National Advertising to Firm Value (2016, background): “Moreover, the presence of omitted variables that drive strategic marketing decisions are a source of first-order endogeneity (Rossi 2014) in empirical marketing models.”
- Impact of supply base structural complexity on financial performance: Roles of visible and not‐so‐visible characteristics (2017, background): “A good instrument needs to have strong correlation with supply base configuration (relevance condition) but not with financial performance of the focal firm (exogeneity condition) (Rossi, 2014).”
- Can doing good lead to doing poorly? Firm value implications of CSR in the face of CSI (2017, background): “The advantage of Gaussian copulas is that they are instrument-free, thus circumventing the problems of finding strong instrumental variables (Rossi 2014).”