Event Title

Predicting Gross Domestic Box Office Revenue

Presenter Information

Erik Knapp, Linfield CollegeFollow

Location

Jereld R. Nicholson Library

Date

5-17-2013 3:00 PM

End Date

5-17-2013 4:30 PM

Subject Area

Economics (general)

Description

This paper analyzes the impacts of twenty-two explanatory variables on the independent variable, gross domestic box office revenue. The explanatory variables are divided into six groups including production, star power, reviews, genre, rating, and release date. Unstructured data was collected for 245 films over five years. For each of the years 2008 through 2012, 50 films were randomly selected from the top 150 grossing films for that year. The results showed eight of the variables to be statistically significant, with at least one variable from each of the groups except for genre. The significant variables are budget, total theaters, director, franchise, audience, PG-13, summer and holiday.

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May 17th, 3:00 PM May 17th, 4:30 PM

Predicting Gross Domestic Box Office Revenue

Jereld R. Nicholson Library

This paper analyzes the impacts of twenty-two explanatory variables on the independent variable, gross domestic box office revenue. The explanatory variables are divided into six groups including production, star power, reviews, genre, rating, and release date. Unstructured data was collected for 245 films over five years. For each of the years 2008 through 2012, 50 films were randomly selected from the top 150 grossing films for that year. The results showed eight of the variables to be statistically significant, with at least one variable from each of the groups except for genre. The significant variables are budget, total theaters, director, franchise, audience, PG-13, summer and holiday.