Response Modeling with Nonrandom Marketing-Mix Variables
By Puneet Manchanda, Peter E. Rossi, Pradeep Chintagunta. 2004
320 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/8ceaf1c953316a8421fa1cfe901eeeeb79c2191c
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Citations in the corpus
- Estimation on stated-preference experiments constructed from revealed-preference choices (2008, background): “4 Other sources and forms of non-independent errors in choice models have been examined by, e.g., Rivers and Vuong (1988), VillasBoas and Winer (1999), Berry et al. (2004), Blundell and Powell (2004), and Manchanda et al. (2004).”
- Effects of Internet Display Advertising in the Purchase Funnel: Model-Based Insights from a Randomized Field Experiment (2015, methodology): “In dealing with missing variables and individual-level targeting, our problem mirrors that of Manchanda, Rossi, and Chintagunta (2004), who studied pharmaceutical detailing.”
- Forecasting Marketing-Mix Responsiveness for New Products (2010, background): “issue was independently addressed in Manchanda, Rossi and Chintagunta (2004) and in Petrin”
- Structural Modeling in Marketing: Review and Assessment (2006, unknown): “Hogan and Rigobon (2003), Ebbes et al. (2005), and Manchanda et al. (2004) develop methods that circumvent the search for observable instruments.”
- Personal Selling Elasticities: A Meta-Analysis (2010, background): “If an input such as personal selling is treated as exogenous when it is endogenous, both theoretical analyses and empirical evidence of its elasticity may be overestimated (e.g., Manchanda, Rossi, and Chintagunta 2004; Saridakis, Torres, and Tracey 2009).”
- Bayesian Analysis of Simultaneous Demand and Supply (2003, unknown): “When this occurs, variables that are typically assumed as explanatory in the demand model (e.g., the 4 p’s) are determined from within the system of study, and are dependent on some of the same parameters present in the demand relationship (see Manchanda et al., 2003 ).”