Abstract
Using a time series data set covering the period 1936–1999, this paper investigates the statistical distribution of cinema admissions and attempts to produce a forecasting model using the ARIMA methodology.
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References
Allin, P. (1998) “Statistics on Film:What the Official Statistics Show”. Cultural Trends 30: 5–23.
Box, G.E.P. and Jenkins, G.M. (1976) Time Series Analysis: Forecasting and Control. Holden-Bay, San Francisco.
Box, G.E.P and Pierce, D.A. (1970) “Distribution of Residual Autocorrelation in Autoregressive Integrated Time series Models”. Journal of the American Statistical Association 7: 1509–1529.
CAA (undated) Screens and Admissions History. CAA, London.
Cameron, S. (1986), “The Supply and Demand for Cinema Tickets: Some U.K. Evidence”. Journal of Cultural Economics 10: 38–62.
Cameron, S. (1988) “The Impact of Video Recorders on Cinema Attendance”.Journal of Cultural Economics 12: 73–80.
Cameron, S. (1990) “The Demand for Cinema in the U.K.”. Journal of Cultural Economics 14: 35–47.
Cameron, S. (1999) “Rational Addiction and the demand for the Cinema”. Applied Economics Letters 6(9): 617–620.
CAVIAR Consortium (2000) CAVIAR 17. Cinema Advertising Association, London.
Dalrymple, K. and Greenidge, K. (1999) “Forecasting Arrivals to Barbados”. Annals of Tourism Research 26(1): 188–190.
De Vany, A.S. and Walls, W.D. (1999) “Uncertainty in the Movie Industry: Does Star Power Reduce the Terror of the Box Office?” Journal of Cultural Economics 23(4): 285–318.
Dharmaratne, G. (1995) “Forecasting Tourist Arrivals in Barbados”. Annals of Tourism Research 22(4): 804–818.
Fernández-Blanco, V. and Baños Pino, J. (1997) “Cinema Demand in Spain: A Cointegration Analysis”. Journal of Cultural Economics 21(1): 57–75.
Grummet, K.P. and Couling, K. (2000) Cinemagoing 8. Dodona Research, Leicester.
Gujarati, D. (1995) Basic Econometrics, 3rd edition. McGraw-Hill, London.
Harris, R.I.D. (1995) Cointegration Analysis in Econometric Modelling. Prentice Hall, London.
Kim, J.H. (1999) “Forecasting Monthly Tourist Departures from Australia”.Tourism Economics 5(3): 277–291.
Lee, C.H.K. (1999) “Heavy-Tailed Distributions and the Motion Picture Industry”, unpublished paper, available at http://orion.oac.uci.edu/% 7Ehlee2/papers.html.
Lewis, C. (1982) Industrial and Business Forecasting Methods. Butterworth Scientific, London.
Ljung, G.M. and Box, G.E.P. (1978) “On a Measure of Lack of Fit in Time Series Models”. Biometrika 66: 66–72.
Mandelbrot, B. (1963) “The Variation of Certain Speculative Prices”. Journal of Business 36(4): 394–419.
Nolan, J.P. (1999) STABLE version 2.16 [online] available from http://www.cas.american. edu/~jpnolan accessed 18/5/2000.
Pindyck, R.S. and Rubinfeld, D.L. (1991) Econometric Models and Economic Forecasts, 03rd edition. McGraw-Hill, London.
Spraos, J. (1962) The Decline of the Cinema: An Economist's Report. George Allen and Unwin, London.
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Hand, C. The Distribution and Predictability of Cinema Admissions. Journal of Cultural Economics 26, 53–64 (2002). https://doi.org/10.1023/A:1013389211323
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DOI: https://doi.org/10.1023/A:1013389211323