24.1 Top Seminal Papers

  • (Allenby, Leone, and Jen 1999) This paper uses a structural model to understand and predict consumer purchase timing in direct marketing scenarios.

  • (Misra and Nair 2011): This work models the dynamics of sales force compensation, motivation, and performance, providing valuable insights into sales team management.

  • (Montgomery and Rossi 1999): This paper focuses on using structural models to estimate price elasticities, offering insights into pricing strategies.

  • (Oliver J. Rutz, Trusov, and Bucklin 2011): This paper uses structural modeling to understand the indirect effects of paid search advertising, with implications for online marketing strategies.

  • (Netzer, Lattin, and Srinivasan 2008): This paper presents a structural model for understanding the dynamic nature of customer relationships over time.

  • (Goh, Heng, and Lin 2013): This paper models the co-evolution of user behavior in social media, enabling a better understanding of social media trends.

  • (Gowrisankaran and Rysman 2012): This work models how consumers’ preferences evolve over time, with applications to durable goods markets.

  • (Kadiyali, Sudhir, and Rao 2001): This work presents methods for using structural modeling to understand competitive behavior in markets.

  • (Heiss 2002): This paper shows how to use nested logit models, a type of structural model, to analyze consumer choice behavior.

  • (Elberg et al. 2019): This paper investigates the dynamic effects of price promotions using a structural model.

  • (Tülin Erdem, Keane, and Sun 2008): This paper uses a structural model to understand how advertising influences consumer price sensitivity in experience goods markets.

  • (Minkyung Kim, Sudhir, and Uetake 2022): This work models how a multitasking salesforce operates, providing insights into salesforce compensation and customer relationship management.

  • (Hitsch 2006): This paper models how firms should optimally launch and exit products under demand uncertainty.

  • (Dubé et al. 2002): This paper provides insights into how discrete choice models, a type of structural model, can be applied in a variety of marketing contexts.

  • (Kadiyali, Sudhir, and Rao 2001) This work presents methods for using structural modeling to understand competitive behavior in markets.

  • (W. Kamakura et al. 2005): This work presents a choice model for understanding customer relationship management strategies.

  • (Gupta et al. 2006): This paper uses a structural model to understand and predict customer lifetime value, with implications for customer relationship management.

References

Allenby, Greg M, Robert P Leone, and Lichung Jen. 1999. “A Dynamic Model of Purchase Timing with Application to Direct Marketing.” Journal of the American Statistical Association 94 (446): 365–74.
Dubé, Jean-Pierre, Pradeep Chintagunta, Amil Petrin, Bart Bronnenberg, Ron Goettler, PB Seetharaman, K Sudhir, Raphael Thomadsen, and Ying Zhao. 2002. “Structural Applications of the Discrete Choice Model.” Marketing Letters 13: 207–20.
Elberg, Andrés, Pedro M Gardete, Rosario Macera, and Carlos Noton. 2019. “Dynamic Effects of Price Promotions: Field Evidence, Consumer Search, and Supply-Side Implications.” Quantitative Marketing and Economics 17: 1–58.
Erdem, Tülin, Michael P Keane, and Baohong Sun. 2008. “The Impact of Advertising on Consumer Price Sensitivity in Experience Goods Markets.” Quantitative Marketing and Economics 6: 139–76.
Goh, Khim-Yong, Cheng-Suang Heng, and Zhijie Lin. 2013. “Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User-and Marketer-Generated Content.” Information Systems Research 24 (1): 88–107.
Gowrisankaran, Gautam, and Marc Rysman. 2012. “Dynamics of Consumer Demand for New Durable Goods.” Journal of Political Economy 120 (6): 1173–1219.
Gupta, Sunil, Dominique Hanssens, Bruce Hardie, Wiliam Kahn, V Kumar, Nathaniel Lin, Nalini Ravishanker, and S Sriram. 2006. “Modeling Customer Lifetime Value.” Journal of Service Research 9 (2): 139–55.
Heiss, Florian. 2002. “Structural Choice Analysis with Nested Logit Models.” The Stata Journal 2 (3): 227–52.
Hitsch, Günter J. 2006. “An Empirical Model of Optimal Dynamic Product Launch and Exit Under Demand Uncertainty.” Marketing Science 25 (1): 25–50.
Kadiyali, Vrinda, K Sudhir, and Vithala R Rao. 2001. “Structural Analysis of Competitive Behavior: New Empirical Industrial Organization Methods in Marketing.” International Journal of Research in Marketing 18 (1-2): 161–86.
Kamakura, Wagner, Carl F Mela, Asim Ansari, Anand Bodapati, Pete Fader, Raghuram Iyengar, Prasad Naik, et al. 2005. “Choice Models and Customer Relationship Management.” Marketing Letters 16: 279–91.
Kim, Minkyung, K Sudhir, and Kosuke Uetake. 2022. “A Structural Model of a Multitasking Salesforce: Incentives, Private Information, and Job Design.” Management Science 68 (6): 4602–30.
Misra, Sanjog, and Harikesh S Nair. 2011. “A Structural Model of Sales-Force Compensation Dynamics: Estimation and Field Implementation.” Quantitative Marketing and Economics 9: 211–57.
Montgomery, Alan L, and Peter E Rossi. 1999. “Estimating Price Elasticities with Theory-Based Priors.” Journal of Marketing Research 36 (4): 413–23.
Netzer, Oded, James M Lattin, and Vikram Srinivasan. 2008. “A Hidden Markov Model of Customer Relationship Dynamics.” Marketing Science 27 (2): 185–204.
Rutz, Oliver J, Michael Trusov, and Randolph E Bucklin. 2011. “Modeling Indirect Effects of Paid Search Advertising: Which Keywords Lead to More Future Visits?” Marketing Science 30 (4): 646–65.