Predicting box office with and without markets: Do internet users know anything?
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DOI: 10.1016/j.infoecopol.2013.05.001
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References listed on IDEAS
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Cited by:
- Jordi McKenzie, 2023. "The economics of movies (revisited): A survey of recent literature," Journal of Economic Surveys, Wiley Blackwell, vol. 37(2), pages 480-525, April.
- Ronny Behrens & Natasha Zhang Foutz & Michael Franklin & Jannis Funk & Fernanda Gutierrez-Navratil & Julian Hofmann & Ulrike Leibfried, 2021. "Leveraging analytics to produce compelling and profitable film content," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 45(2), pages 171-211, June.
- David Court & Benjamin Gillen & Jordi McKenzie & Charles R. Plott, 2018.
"Two information aggregation mechanisms for predicting the opening weekend box office revenues of films: Boxoffice Prophecy and Guess of Guesses,"
Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 65(1), pages 25-54, January.
- David Court & Benjamin Gillen & Jordi McKenzie & Charles Plott, 2015. "Two Information Aggregation Mechanisms for Predicting the Opening Weekend Box Office Revenues of Films: Boxoffice Prophecy and Guess of Guesses," Natural Field Experiments 00541, The Field Experiments Website.
- Mun, Mak Kit & Chong, Choo Wei, 2018. "Forecasting Movie Demand Using Total and Split Exponential Smoothing," Jurnal Ekonomi Malaysia, Faculty of Economics and Business, Universiti Kebangsaan Malaysia, vol. 52(2), pages 81-94.
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More about this item
Keywords
Motion pictures; Prediction mechanisms; Prediction markets; Information aggregation; Forecasting;All these keywords.
JEL classification:
- C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
- D8 - Microeconomics - - Information, Knowledge, and Uncertainty
- L8 - Industrial Organization - - Industry Studies: Services
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