Analyzing moviegoing 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 cross-sectional revenue model estimates at the film-level, there have not been, hitherto, any cross-sectional 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. Copyright © 2005 John Wiley & Sons, Ltd.