The DOI matches its Crossref record; 54 of the 54 references it cites were found in a registry or an index.
The Power of Stars: Do Star Actors Drive the Success of Movies?
Abstract
Is the involvement of stars critical to the success of motion pictures? Film studios, which regularly pay multimillion-dollar fees to stars, seem to be driven by that belief. This article sheds light on the returns on this investment using an event study that considers the impact of more than 1200 casting announcements on trading behavior in a simulated and real stock market setting. The author finds evidence that the involvement of stars affects movies' expected theatrical revenues and provides insight into the magnitude of this effect. For example, the estimates suggest that, on average, stars are worth approximately $3 million in theatrical revenues. In a cross-sectional analysis grounded in the literature on group dynamics, the author also examines the determinants of the magnitude of stars' impact on expected revenues. Among other things, the author shows that the stronger a cast already is, the greater is the impact of a newly recruited star with a track record of box office successes or with a strong artistic reputation. Finally, in an extension to the study, the author does not find that the involvement of stars in movies increases the valuation of film companies that release the movies, thus providing insufficient grounds to conclude that stars add more value than they capture. The author discusses implications for managers in the motion picture industry.
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(1994) · Journal of the American Dietetic Association · doi:10.1016/0002-8223(94)92216-0 · Cited by 45,910
Research in Organizational Behavior.
Grimes, A. J., Cummings, L. L., & Staw, B. M. (1986) · Administrative Science Quarterly · doi:10.2307/2392975 · Cited by 10,899
Production, Information Costs and Economic Organization
Alchian, A. A., & Demsetz, H. (1996) · Firms, Organizations and Contracts · doi:10.1093/oso/9780198774358.003.0005 · Cited by 9,565
Brown, S. J., & Warner, J. B. (1985) · Journal of Financial Economics · doi:10.1016/0304-405x(85)90042-x · Cited by 6,488
The Econometrics of Financial Markets
Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (2012) · Princeton University Press eBooks · doi:10.2307/j.ctt7skm5 · Cited by 5,875
Moffitt, R. A. (2009) · American Economic Review · doi:10.1257/aer.99.2.660 · Cited by 4,694
A Status-Based Model of Market Competition
Podolny, J. M. (1993) · American Journal of Sociology · doi:10.1086/230091 · Cited by 2,425
Creative industries: contracts between art and commerce
(2000) · Choice Reviews Online · doi:10.5860/choice.38-1661 · Cited by 1,957
MacKinnon, J. G., & White, H. (1985) · Journal of Econometrics · doi:10.1016/0304-4076(85)90158-7 · Cited by 1,879
(2009) · Markets and Diversity · doi:10.2307/j.ctv1kz4h99.12 · Cited by 1,684
Cited by
Does Twitter matter? The impact of microblogging word of mouth on consumers’ adoption of new movies
Hennig-Thurau, T., Wiertz, C., & Feldhaus, F. (2015) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-014-0388-3 · Cited by 434
Leveraging analytics to produce compelling and profitable film content
Behrens, R., Foutz, N. Z., Franklin, M., Funk, J., Gutierrez-Navratil, F., Hofmann, J., & Leibfried, U. (2021) · Journal of Cultural Economics · doi:10.1007/s10824-019-09372-1 · Cited by 39
Metadata
- Authors
- Elberse, A.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publications
- Published
- 2007-10
- Volume
- 71
- Issue
- 4
- Pages
- 102-120
- ISSN
- 0022-2429 (ISSN-L)
- 1547-7185
- OpenAlex
- W2159346038
- Cited by
- 371
- References
- 54
- FWCI
- 26.67
- Type
- journal article
- Language
- en
- Open access
- closed
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