Planning Marketing-Mix Strategies in the Presence of Interaction Effects

References

• Besanko David, Dubé Jean-Pierre, Gupta Sachin. Own-brand and cross-brand retail pass-through. Marketing Sci. (2005) 24(1):123–137Link, Google Scholar
• Blattberg Robert C., Neslin Scott A.Sales Promotion: Concepts, Methods, and Strategies (1990) (Prentice Hall, Englewood Cliffs, NJ) Google Scholar
• Chintagunta Pradeep K., Vilcassim Naufel J. Marketing investment decisions in a dynamic duopoly: A model and empirical analysis. Internat. J. Res. Marketing (1994) 11(2):287–306Crossref, Google Scholar
• Deal Kenneth R. Optimizing advertising expenditures in a dynamic duopoly. Oper. Res. (1979) 27(3):682–692Link, Google Scholar
• Dockner E. J., Jorgensen S., Van Long N., Sorger G.Differential Games in Economics and Management Science (2000) (Cambridge University Press, Cambridge, UK) Crossref, Google Scholar
• Engle R. F., Hendry D. F., Richard J.-F. Exogeneity. Econometrica (1983) 51(2):277–304Crossref, Google Scholar
• Erickson Gary M.Dynamic Models of Advertising Competition: Open- and Closed-Loop Extensions (1991) (Kluwer Academic Publishers, Boston, MA) Crossref, Google Scholar
• Fruchter Gila E., Kalish Shlomo. Dynamic promotional budgeting and media allocation. Eur. J. Oper. Res. (1998) 111(1):15–27Crossref, Google Scholar
• Gatignon Hubert, Eliashberg Josh, Lilien Gary L. Marketing-mix models. Handbook of OR and MS (1993) 5(Elsevier Science Publishers, Amsterdam, The Netherlands) 697–732Google Scholar
• Gatignon Hubert, Hanssens Dominique M. Modeling marketing interactions with application to salesforce effectiveness. J. Marketing Res. (1987) 24(2):247–257Crossref, Google Scholar
• Jedidi Kamel, Mela Carl, Gupta Sunil. Managing advertising and promotion for long-run profitability. Marketing Sci. (1999) 18(1):1–22Link, Google Scholar
• Kamien Morton, Schwartz Nancy. Dynamic Optimization (1991) (Elsevier Science Publishing Company, New York) Google Scholar
• Leeflang P. H. S., Wittink Dick R. Explaining competitive reaction effects. Internat. J. Res. Marketing (2001) 18(1–2):119–137Crossref, Google Scholar
• Lilien Gary L., Kotler Philip, Sridhar Moorthy K.Marketing Models (1992) (Prentice Hall, Englewood Cliffs, NJ) Google Scholar
• Little John D. C. Aggregate advertising models: The state of the art. Oper. Res. (1979) 27(4):629–667Link, Google Scholar
• Mantrala Murali K., Weitz Barton A., Wensley Robin. Allocating marketing resources. Handbook of Marketing (2002) (Sage Publications, Thousand Oaks, CA) 409–435Crossref, Google Scholar
• Mela Carl F., Gupta Sunil, Lehmann Donald R. The long-term impact of promotion and advertising on consumer brand choice. J. Marketing Res. (1997) 34(1):248–261Crossref, Google Scholar
• Moorthy Sridhar K. A general theory of pass-through in channels with category management and retail competition. Marketing Sci. (2005) 24(1):110–122Link, Google Scholar
• Naik Prasad A., Tsai Chih-Ling. Controlling measurement errors in models of advertising competition. J. Marketing Res. (2000) 37(1):113–124Crossref, Google Scholar
• Naik Prasad A., Tsai Chih-Ling. Single-index model selections. Biometrika (2001) 88(3):821–832Crossref, Google Scholar
• Naik Prasad A., Tsai Chih-Ling. Residual information criterion for single-index model selections. J. Nonparametric Statist. (2004) 16(1–2):187–195Crossref, Google Scholar
• Naik Prasad A., Raman Kalyan. Understanding the impact of synergy in multimedia communications. J. Marketing Res. (2003) 40(3):375–388Crossref, Google Scholar
• Naik Prasad A., Mantrala Murali K., Sawyer Alan. Planning pulsing media schedules in the presence of dynamic advertising quality. Marketing Sci. (1998) 17(2):214–235Link, Google Scholar
• Sethi Suresh P. Dynamic optimal control models in advertising: A survey. SIAM Rev. (1977) 19(4):685–725Crossref, Google Scholar
• Shumway Robert H., Stoffer David S.Time Series Analysis and Its Applications (2000) (Springer-Verlag, Inc., New York) Crossref, Google Scholar
• Silva-Risso Jorge M., Bucklin Randolph E., Morrison Donald G. A decision support system for planning manufacturers' sales promotion calendars. Marketing Sci. (1999) 18(2):274–300Link, Google Scholar
• Thompson Gerald L., Teng Jinn-Tsair. Optimal pricing and advertising policies for new product oligopoly models. Marketing Sci. (1984) 3(1):148–168Link, Google Scholar
• van Heerde Harald J., Leeflang P. S. H., Wittink Dick R. The estimation of pre- and post-promotion dips with store-level scanner data. J. Marketing Res. (2000) 37(3):383–395Crossref, Google Scholar
• van Heerde Harald J., Leeflang P. S. H., Wittink Dick R. Decomposing the sales promotion bump with store data. Marketing Sci. (2004) 23(3):317–334Link, Google Scholar
• Winer Russell S. Using single-source scanner data as a natural experiment for evaluating advertising effects. J. Marketing Sci. (1993) 2(2):15–31Google Scholar
• Witttink Dick R., Addona Michael J., Hawkes William J., Porter John C. SCAN*PRO®: The estimation, validation, and use of promotional effects based on scanner data. (1988) . Working paper, Cornell University, Ithaca, NYGoogle Scholar