1Jay Prag and James Casavant, an Empirical Study of the Determinants of Revenues and Marketing Expenditures in the Motion Picture Industry. Journal of Cultural Econom- ics, Vol. 18, No. 3, 1994, pp. 217-235.
2Sochay Scott, Predicting Performance of Motion Pictures. Journal of Media Economics, Vol. 7, No. 4, 1994, pp. 1 - 20.
3Sharon P. Smith and V. Kerry Smith, Successful Movies: A Preliminary Empirical Analysis. Applied Econom- ics, Vol. 18, No. 5, 1986, pp. 501 -507.
4Arthur De Vany and W. David Walls, Uncertainty in the Movies : Does Star Power Reduce the Terror of the Box Office? Journal of Cultural Economics, Vol. 23, No. 4, 1999, pp. 285 -318.
5S. Abraham Ravid, Information, Blockbusters and Stars: A Study of the Film Industry. Journal of Business, Vol. 72, No. 4, 1999, pp. 463 - 494.
6M. Bagella and L. Becchetti, The Determinants of Motion Picture Box Office Performance: Evidence from Mov- ies Produced in Italy . Journal of Cultural Economics, Vol. 23. No. 4, 1999, pp. 237 - 256.
7Kyung Jae Lee and Woojin Chang, Bayesian belief network for box - office performance : A case study on Korean movies. Expert Systems with Applications Vol. 36, No. 1, 2009, pp. 280 - 291.
8Randy A. Nelson, Robert Glotfelty, Movie Stars and Box Office Revenues : An Empirical Analysis [ J ] . Journal of Cultural Economics, 2012, 36(2). 141- 166.
9B. Litman, Predicting success of theatrical movies : An empirical study[ J]. Journal of Popular Culture , 1983, 16 (4) ,159 175.
10Ramya Neelamegham and Pradeep Chintagunta,A Bayesian Model to Forecast New Product Performance in Do- mestic and International Markets . Marketing Science, Vol. 18 ,No. 2,1999, pp. 115 - 136.
