Analyzing movie going demand: an individual–level cross-sectional approach

Previous work analyzing the demand for movie theater visits have had to rely entirely on highly aggregate time series data. Inevitably, this masks the significance of individual-specific effects that place constraints on such trip making. Further, while there have been crosssectional revenue model estimates at the film-level, there have not been, hitherto, any crosssectional studies of moviegoing by individuals. This study thus presents the first detailed microeconometric analysis of the factors that increase or lower the probability that an individual will go to a movie theater.