Examining Factors That Affect Movie Gross Using Gaussian Copula Marginal Regression
نویسندگان
چکیده
In this research, we investigate the relationship between a movie’s gross and its budget, year of release, season genre, rating. The movie data used in research are severely skewed to right, resulting problems nonlinearity, non-normal distribution, non-constant variance error terms. To overcome these difficulties, employ Gaussian copula marginal regression (GCMR) model after adjusting budget variables for inflation using consumer price index. An analysis found that rating were all statistically significant predictors gross. Specifically, one unit increases associated with an increase G movies more than other kinds (PG, PG-13, R, Other). Movies released fall least compared three seasons. Finally, action biography, comedy, crime, genres, but less adventure, animation, drama, fantasy, horror, mystery movies.
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ژورنال
عنوان ژورنال: Forecasting
سال: 2022
ISSN: ['2571-9394']
DOI: https://doi.org/10.3390/forecast4030037