Gender and box office performance

Treme, Julianne; Craig, Lee A.; Copland, Andrew

doi:10.1080/13504851.2018.1495818

Cited by 6 publications

(6 citation statements)

References 7 publications

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“…Finally, both Treme et al (2018) and Marshall et al (2013) confirmed the positive influence of the reviews on movie attendance. Marshall (2013) included the quality of the reviews made by professional critics, while Treme et al (2018) covered both the reviews by the critics and the viewers.…”

Section: Discussionmentioning

confidence: 61%

“…The results presented in Table 4 As in Walls (2005), we found small gains from including movie genres (after including 9 genre dummies increases R-squared only by 0.005, see Table 4). On the other hand, Treme et al (2018) and Marshall (2013) got opposite results that were statistically significant at least for part of genre dummies. In addition, Treme et al (2018) and Marshall et al (2013) identified the negative effects of age classification (age rating) on the box office performance.…”

Section: Discussionmentioning

confidence: 83%

“…The results confirmed that a robust regression model is a better tool for predicting the financial success of movies than the often-applied least-squares regression model. In a recent study, Treme et al (2018) verified the dependence between variables expressing cast (in particular, the gender of the movie's stars) and box office performance. The model, which explained the movies' commercial success, included variables such as stars (number and gender), budget, the maximum number of domestic theatres where the movie was played, major distributors (dummy variables), genre, different ratings (ratings from the Motion Picture Association of America (MPAA), critics, viewers), decade, and release date.…”

Section: Literature Reviewmentioning

confidence: 90%

“…A large amount of the literature analyses cinema attendance across movies, using data observed at the movie level, i.e. the overall tickets sold for a movie (e.g., Walls, 2005;Marshall et al, 2013;Gmerek, 2015;Treme et al, 2018). Walls (2005) predicted financial success during the early stages of new movies where only the parameters of the movie itself were used for forecasting.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Firstly, most of the studies focus on a single factor or a group of factors (most often movie characteristics) that may influence cinema attendance or revenues (e.g., Walls, 2005;Marshall et al, 2013;Treme et al, 2018). As Litman (1983), Hofmann-Stölting et al (2017) and Wu et al (2018) showed, it pays off to include various factors when forecasting the success of movies.…”

Section: Contributions To the Literaturementioning

confidence: 99%

See 4 more Smart Citations

Forecasting Cinema Attendance at the Movie Show Level: Evidence from Poland

Baranowski

Korczak

Zając

2020

Business Systems Research Journal

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Background: Cinema programmes are set in advance (usually with a weekly frequency), which motivates us to investigate the short-term forecasting of attendance. In the literature on the cinema industry, the issue of attendance forecasting has gained less research attention compared to modelling the aggregate performance of movies. Furthermore, unlike most existing studies, we use data on attendance at the individual show level (179,103 shows) rather than aggregate box office sales.Objectives: In the paper, we evaluate short-term forecasting models of cinema attendance. The main purpose of the study is to find the factors that are useful in forecasting cinema attendance at the individual show level (i.e., the number of tickets sold for a particular movie, time and cinema).Methods/Approach: We apply several linear regression models, estimated for each recursive sample, to produce one-week ahead forecasts of the attendance. We then rank the models based on the out-of-sample fit.Results: The results show that the best performing models are those that include cinema- and region-specific variables, in addition to movie parameters (e.g., genre, age classification) or title popularity.Conclusions: Regression models using a wide set of variables (cinema- and region-specific variables, movie features, title popularity) may be successfully applied for predicting individual cinema shows attendance in Poland.

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Section: Discussionmentioning

confidence: 61%

Section: Discussionmentioning

confidence: 83%

Section: Literature Reviewmentioning

confidence: 90%

Section: Literature Reviewmentioning

confidence: 99%

Section: Contributions To the Literaturementioning

confidence: 99%

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Forecasting Cinema Attendance at the Movie Show Level: Evidence from Poland

Baranowski

Korczak

Zając

2020

Business Systems Research Journal

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The Hollywood gender gap: the role of action films

Heywood,

Izquierdo Sanchez,

Paniagua

2024

J Cult Econ

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We estimate gender earnings differentials among Hollywood stars. While this market should be particularly efficient in translating productivity into earnings, we demonstrate an unexplained female earnings gap of over two million dollars a film. Critically, we show that action films drive this gap. Our movie fixed effects estimate a much larger-million-dollar gap among action movies and a smaller statistically insignificant gap among other genres. Within the other genres, the one significant earnings gap is among stars older than 50. We argue that these patterns could reflect “consumer discrimination” but also raise other possibilities.

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Hollywood caught in two worlds? The impact of the Bechdel test on the international box office performance of cinematic films

Valentowitsch

2022

Mark Lett

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The Bechdel test is increasingly used in academia as a quality indicator for the portrayal of women in films. Previous studies explored how passing the Bechdel test affects box office earnings. However, earlier considerations were all limited to the US market. Therefore, the impact of the Bechdel test on international box office receipts is still unclear. To fill this research gap, this study examines the box office effect for internationally released films at the country level. Using a sample of 515 randomly selected Hollywood films, it is shown that passing the test significantly improves international box office earnings. However, the results also show that the effect depends on the level of socioeconomic development in the respective countries. Cultural discount theory is used to explain the empirical findings.

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Gender and box office performance

Cited by 6 publications

References 7 publications

Forecasting Cinema Attendance at the Movie Show Level: Evidence from Poland

Forecasting Cinema Attendance at the Movie Show Level: Evidence from Poland

The Hollywood gender gap: the role of action films

Hollywood caught in two worlds? The impact of the Bechdel test on the international box office performance of cinematic films

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