scholarly journals Improving the Performance of Random Coefficients Demand Models: The Role of Optimal Instruments

Author(s):  
Mathias Reynaert ◽  
Frank Verboven
2018 ◽  
Vol 206 (2) ◽  
pp. 613-644 ◽  
Author(s):  
Hyungsik Roger Moon ◽  
Matthew Shum ◽  
Martin Weidner

2005 ◽  
Vol 42 (3) ◽  
pp. 278-290 ◽  
Author(s):  
Sridhar Narayanan ◽  
Puneet Manchanda ◽  
Pradeep K. Chintagunta

The authors investigate the changing role of marketing communication over the life cycle of a new product category. They postulate two effects of marketing communication on consumers' choices: an “indirect effect” through reduction of uncertainty about product quality and a “direct effect” (i.e., more is better). The authors expect that the indirect effect is relatively larger in the early, postlaunch stages. They develop a structural model of demand that allows for such temporal differences in the roles of marketing communication. They use a random coefficients discrete choice model with a Bayesian learning process to model physician learning about new drugs and market-level data for the prescription antihistamines category. They find that marketing communication has a primarily indirect effect 6–14 months after introduction but that the direct effect subsequently dominates. The results suggest that firms should follow a pattern of heavier communication at the introduction phase followed by lower levels.


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