The Effects of Online User Reviews on Movie Box Office Performance: Accounting for Sequential Rollout and Aggregation Across Local Markets

Published Online:https://doi.org/10.1287/mksc.1100.0572

References

  • Ainslie A., Drèze X., Zufryden F. Modeling movie life cycles and market share. Marketing Sci. (2005) 24(3):508–517LinkGoogle Scholar
  • Andrews D. W. K. Heteroskedasticity and autocorrelation consistent covariance matrix estimation. Econometrica (1991) 59(3):817–858CrossrefGoogle Scholar
  • Box Office Mojo About movie box office tracking and terms. . Accessed December 10, 2009, http://www.boxofficemojo.com/about/boxoffice.htmGoogle Scholar
  • Bronnenberg B. J., Mela C. F. Market roll-out and retailer adoption for new brands. Marketing Sci. (2004) 23(4):500–518LinkGoogle Scholar
  • Chevalier J. A., Mayzlin D. The effect of word of mouth on sales: Online book reviews. J. Marketing Res. (2006) 43(3):345–354CrossrefGoogle Scholar
  • Christen M., Gupta S., Porter J. C., Staelin R., Wittink D. R. Using market-level data to understand promotional effects in a nonlinear model. J. Marketing Res. (1997) 34(3):322–334CrossrefGoogle Scholar
  • Cieply M. The box office and the weather. New York Times (2008) December 21). http://artsbeat.blogs.nytimes.com/2008/12/21/the-box-office-and-the-weather/Google Scholar
  • Dellarocas C., Zhang X. M., Awad N. F. Exploring the value of online product reviews in forecasting sales: The case of motion pictures. J. Interactive Marketing (2007) 21(4):23–45CrossrefGoogle Scholar
  • Duan W., Gu B., Whinston A. B. The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry. J. Retailing (2008) 84(2):233–242CrossrefGoogle Scholar
  • Elberse A., Anand B. The effectiveness of pre-release advertising for motion pictures: An empirical investigation using a simulated market. Inform. Econom. Policy (2007) 19(3–4):319–343CrossrefGoogle Scholar
  • Elberse A., Eliashberg J. Demand and supply dynamics for sequentially released products in international markets: The case of motion pictures. Marketing Sci. (2003) 22(3):329–354LinkGoogle Scholar
  • Godes D., Mayzlin D. Using online conversations to study word-of-mouth communication. Marketing Sci. (2004) 23(4):545–560LinkGoogle Scholar
  • Gopinath S., Chintagunta P. K., Venkataraman S. Do pre-release blogs influence movie opening box-office performance? (2010) . Working paper, University of Chicago, Booth School of Business, ChicagoGoogle Scholar
  • Greene W. H.Econometric Analysis (2003) 5th ed.(Prentice Hall, Upper Saddle River, NJ) Google Scholar
  • Gupta S., Chintagunta P. K., Kaul A., Wittink D. R. Do household scanner data provide representative inferences from brand choices: A comparison with store data. J. Marketing Res. (1996) 33(4):383–398CrossrefGoogle Scholar
  • Liu Y. Word of mouth for movies: Its dynamics and impact on box office revenue. J. Marketing (2006) 70(3):74–89CrossrefGoogle Scholar
  • Luo X. Consumer negative voice and firm-idiosyncratic stock returns. J. Marketing (2007) 71(3):75–88CrossrefGoogle Scholar
  • Moul C. C. Measuring word of mouth's impact on theatrical movie admissions. J. Econom. Management Strategy (2007) 16(4):859–892CrossrefGoogle Scholar
  • Nam S., Manchanda P., Chintagunta P. The effect of signal quality and contiguous word of mouth on customer acquisition for a video-on-demand service. Marketing Sci. (2010) 29(4):690–700LinkGoogle Scholar
  • Neelamegham R., Chintagunta P. A Bayesian model to forecast new product performance in domestic and international markets. Marketing Sci. (1999) 18(2):115–136LinkGoogle Scholar
  • Newey W. K., West K. D. A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix. Econometrica (1987) 55(3):703–708CrossrefGoogle Scholar
  • Shin H. S., Hanssens D. M., Gajula B. The impact of positive vs. negative online buzz on retail prices. (2008) . Working paper, Anderson School of Management, University of California, Los Angeles, Los AngelesGoogle Scholar
  • Sun M. J. The informational role of consumer disagreement. (2008) . Working paper, Department of Economics, Boston University, BostonGoogle Scholar
  • Van Heerde H. J., Mela C. F., Manchanda P. The dynamic effect of innovation on market structure. J. Marketing Res. (2004) 41(2):166–183CrossrefGoogle Scholar
  • Vogel H. L.Entertainment Industry Economics: A Guide for Financial Analysis (2007) 7th ed.(Cambridge University Press, Cambridge, UK) CrossrefGoogle Scholar
  • White H. A heteroskedasticity-consistent covariance matrix estimator and a direct test for heteroskedasticity. Econometrica (1980) 48(4):817–838CrossrefGoogle Scholar
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