Summary: | 碩士 === 國立臺北大學 === 企業管理學系 === 104 === This thesis aims to explore the major determinants of box office sales for sequel movies. The analysis applies both multivariate and quantile regression methods to study the interrelations between sequel movie box office and movie related variables. To adjust the movie ticket price inflation, we use personal consumption deflator to deflate nominal box office. This research focuses on discovering consistency of sequel toward normal movies, and consider whether customers are affected by the signals released from the original movie.
A total of 385 sequel movies are used in the analyses. By using a quantile regression technique, the results indicate the MPAA rating, number of screens and release date have a very significant positive impact on the sequel movie box office performance. In addition, the consistency of castings and directors do affect box office positively which can only be an extra advantage of sequel movies; moreover, this relationship will be stronger when the original movie had a good rating or word of mouth which made by audiences. A quantile regression analysis uncovers that the consistency of director has a remarkably positive influence on the high quantile of the sequel movie box office.
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