Invited Paper - Even the Rich Can Make Themselves Poor: A Critical Examination of IV Methods in Marketing Applications

By Peter E. Rossi. 2014

254 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

In Marketing

Citations in the corpus

Counterfactual inference for consumer choice across many product categories (2019, neutral): “Similar trends can be seen when we divide the results based on the number of purchases each household made in the 34 As discussed in Rossi (2014), with consumer level data, our biggest concern for the identification of price effects, is that the store may be setting prices in response to variations…”
Marketing Analytics for Data-Rich Environments (2016, unknown): “In that case, predictions of the effects of this marketing-mix element will be biased (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).”
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).”
Artificial Intelligence and Marketing: Pitfalls and Opportunities (2020, background): “Still, even in the field of marketing, its actual impact appears to remain misunderstood by many, and its potential cure misused by most (Rossi, 2014).”
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.”
Beyond Warm Glow: The Risk-Mitigating Effect of Corporate Social Responsibility (CSR) (2020, methodology): “For this reason, we use the Gaussian copula method (Park and Gupta 2012), which avoids the problem of having weak instruments (Rossi 2014).”
The Effect of a Data Breach Announcement on Customer Behavior: Evidence from a Multichannel Retailer (2018, background): “We also include customer fixed effects (mi) that help control for unobserved customer heterogeneity and remove endogeneity bias (Rossi 2014).”
Endogeneity and marketing strategy research: an overview (2019, methodology): “…argument for the possibility of endogeneity in the model, the researcher’s first course of action should be to identify, measure, and include the possible omitted variable(s) in the existing model rather than immediately choose another more convenient method to address these concerns (Rossi 2014).”
How Well Does Consumer-Based Brand Equity Align with Sales-Based Brand Equity and Marketing-Mix Response? (2017, methodology): “The copula method does not require instrumental variables and therefore is particularly useful when valid instruments are difficult to find (Rossi 2014).”