Modeling DVD Preorder and Sales: An Optimal Stopping Approach

Published Online:https://doi.org/10.1287/mksc.1080.0370

References

  • Allaart P. Optimal stopping rules for correlated random walks with a discount. J. Appl. Probab. (2004) 41(2):483–496CrossrefGoogle Scholar
  • Bakos J. Y. Reducing buyer search costs: Implications for electronic marketplaces. Management Sci. (1997) 43(12):1676–1692LinkGoogle Scholar
  • Chintagunta P., Erdem T., Rossi P., Wedel M. Structural modeling in marketing: Review and assessment. Marketing Sci. (2006) 25:604–616LinkGoogle Scholar
  • Chow Y. S., Robbins H., Siegmund D.Great Expectations: The Theory of Optimal Stopping (1971) (Houghton Mifflin Company, Boston) Google Scholar
  • Clementi F., Gallegati M., Chaterjee A., Yarlagadda S., Chakrabarti B. K. Pareto's law of income distribution: Evidence for Germany, the United Kingdom, and the United States. Econophysics of Wealth Distributions (2005) (Springer, Milan) 3–14CrossrefGoogle Scholar
  • Dubins L. E., Teicher H. Optimal stopping when the future is discounted. Ann. Math. Statist. (1967) 38(2):601–605CrossrefGoogle Scholar
  • Einav L. Seasonality in U.S. motion picture industry. RAND J. Econom. (2007) 38(1):128–146CrossrefGoogle Scholar
  • Eliashberg J., Elberse A., Leenders M. A. A. M. The motion picture industry: Critical issues in practice, current research, and new research directions. Marketing Sci. (2006) 25(6):638–661LinkGoogle Scholar
  • Eliashberg J., Hui S., Zhang J. From story line to box office: A new approach for green-lighting movie scripts. Management Sci. (2007) 53(6):881–893LinkGoogle Scholar
  • Ferguson T. S. Optimal stopping and applications. (2000) . http://www.math.ucla.edu/∼tom/Stopping/Contents.htmlGoogle Scholar
  • Frederick S., Loewenstein G., O'Donoghue T. Time discounting and time preference: A critical review. J. Econom. Literature (2002) 40(2):351–401CrossrefGoogle Scholar
  • Hauser J., Tellis G. J., Griffin A. Research on innovation: A review and agenda for marketing science. Marketing Sci. (2006) 25(6):687–717LinkGoogle Scholar
  • Jaggia S., Thosar S. Contested tender offers: An estimate of the hazard function. J. Bus. Econom. Statist. (1995) 13(1):113–119Google Scholar
  • Jedidi K., Krider R. E., Weinberg C. B. Clustering at the movies. Marketing Lett. (1998) 9(4):393–405CrossrefGoogle Scholar
  • Jones J. M., Ritz C. J. Incorporating distribution into new product diffusion models. Internat. J. Res. Marketing (1991) 8:91–112CrossrefGoogle Scholar
  • Lehmann D. R., Weinberg C. B. Sales through sequential distribution channels: An application to movies and videos. J. Marketing (2000) 64(July):18–33CrossrefGoogle Scholar
  • Lowenstein G. F. Frames of mind in intertemporal choice. Management Sci. (1988) 34(2):200–214LinkGoogle Scholar
  • Lowenstein G., Prelec D. Anomalies in intertemporal choice: Evidence and an interpretation. Quart. J. Econom. (1992) 107(2):573–597CrossrefGoogle Scholar
  • Luan J. Y. Optimal inter-release timing for sequential releases. (2005) . Working paper, Yale University, New Haven, CTGoogle Scholar
  • Mas-Colell A., Whinston M. D., Green J. R.Microeconomic Theory (1995) (Oxford University Press, New York) Google Scholar
  • Moe W. W., Fader P. S. Using advance purchase orders to forecast new product sales. Marketing Sci. (2002) 21(3):347–364LinkGoogle Scholar
  • Moe W. W., Fader P. S. Dynamic conversion behavior at e-commerce sites. Management Sci. (2004) 50(3):326–335LinkGoogle Scholar
  • Morrison D. G., Schmittlein D. C. Jobs, strikes and wars: Probability models for duration. Organ. Behav. Human Performance (1980) 25:224–251CrossrefGoogle Scholar
  • Morrison D. G., Schmittlein D. C. Generalizing the NBD model for customer purchase: What are the implications and is it worth the effort? (with discussion and rejoinder). J. Bus. Econom. Statist. (1988) 6(2):145–166CrossrefGoogle Scholar
  • Motion Picture Association of American (MPAA)U.S. Entertainment Industry: Market Statistics (2006) . http://www.mpaa.orgGoogle Scholar
  • Muthen B., Masyn K. Discrete-time survival mixture analysis. J. Educ. Behavioral Statist. (2005) 30(1):27–58CrossrefGoogle Scholar
  • Nair H. Intertemporal price discrimination with forward-looking consumers. Application to the U.S. market console for video games. Quart. Marketing Econom. (2007) 5(3):239–292CrossrefGoogle Scholar
  • Park Y.-H., Fader P. S. Modeling browsing behavior at multiple web sites. Marketing Sci. (2004) 23(3):280–303LinkGoogle Scholar
  • Prasad A., Mahajan V., Bronnenberg B. J. Product entry timing in dual distribution channels: The case of the movie industry. Rev. Marketing Sci. (2004) 2Article 4CrossrefGoogle Scholar
  • Radas S., Shugan S. M. Seasonal marketing and timing new product introductions. J. Marketing Res. (1998) 35(3):296–315CrossrefGoogle Scholar
  • Sawhney M. S., Eliashberg J. A parsimonious model for forecasting gross box-office revenues of motion pictures. Marketing Sci. (1996) 15(2):113–131LinkGoogle Scholar
  • Schmittlein D., Mahajan V. Maximum likelihood estimation for an innovation diffusion model of new product acceptance. Marketing Sci. (1982) 1(1):57–78LinkGoogle Scholar
  • Schwarz G. Estimating the dimension of a model. Ann. Statist. (1978) 6(2):461–464CrossrefGoogle Scholar
  • Song I., Chintagunta P. K. A micromodel of new product adoption with heterogeneous and forward-looking consumers: Application to the digital camera category. Quant. Marketing Econom. (2003) 1(4):371–407CrossrefGoogle Scholar
  • Standard and Poor'sIndustry Surveys: Movies and Home Entertainment (2006) (McGraw-Hill, New York) Google Scholar
  • Sun B. Technology innovation and implications for customer relationship management. Marketing Sci. (2006) 25(6):594–597LinkGoogle Scholar
  • Sun B., Neslin S. A., Srinivasan K. Measuring the impact of promotions on brand switching when consumers are forward-looking. J. Marketing Res. (2003) 40(November):389–405CrossrefGoogle Scholar
  • Wei L. Making sense of these million-dollar babies—Rationale behind superstar profit participation contracts. Marketing Sci. (2006) 25(6):678–680LinkGoogle Scholar
  • Wold H., Whittle P. A model explaining the Pareto distribution of wealth. Econometrica (1957) 25:591–595CrossrefGoogle Scholar
  • Wu D., Ray G., Geng X., Whinston A. Implications for reduced search cost and free riding in e-commerce. Marketing Sci. (2004) 23(2):255–262LinkGoogle Scholar
  • Zufryden F. S. Linking advertising to box office performance of new film releases: A marketing planning model. J. Advertising Res. (1996) 36(4):29–41Google Scholar
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