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Quality Judgements and Demand for French Public Theatre

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  • Daniel Urrutiaguer
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    Abstract

    Regression models often reveal a low statistical significance for the quality variables that are used to explain theatrical demand. I posit that opposing opinions on quality are the cause of this. A regression equation is constructed in order to explain demand, with continuous variables for price and volume, and with dummy variables for drama critics, “directors-cum-managers”, growth in funding by public authorities and repertoire classification. I use detailed data on demand for French “theatrical institutions” in 1995 and 1996 to test this model. To some extent, the results support the hypothesis that the media reputation of shows, as expressed in the form of drama reviews, and the artistic reputation of “directors-cum-managers”, which are listed on the programme, havean opposite effect on attendance. Nevertheless, the least squares coefficients show that the most reliable sign of quality remains the reputation of the theatrical institution. Copyright Kluwer Academic Publishers 2002

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    Bibliographic Info

    Article provided by Springer in its journal Journal of Cultural Economics.

    Volume (Year): 26 (2002)
    Issue (Month): 3 (August)
    Pages: 185-202

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    Handle: RePEc:kap:jculte:v:26:y:2002:i:3:p:185-202

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    Web page: http://www.springerlink.com/link.asp?id=100284

    Related research

    Keywords: demand modelling; mediator; quality judgements; reputation; theatre;

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    1. L. Wade, 1988. "Review," Public Choice, Springer, vol. 58(1), pages 99-100, July.
    2. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 31(3), pages 129-137.
    3. Stigler, George J & Becker, Gary S, 1977. "De Gustibus Non Est Disputandum," American Economic Review, American Economic Association, vol. 67(2), pages 76-90, March.
    4. Rosen, Sherwin, 1974. "Hedonic Prices and Implicit Markets: Product Differentiation in Pure Competition," Journal of Political Economy, University of Chicago Press, vol. 82(1), pages 34-55, Jan.-Feb..
    5. Kelvin J. Lancaster, 1966. "A New Approach to Consumer Theory," Journal of Political Economy, University of Chicago Press, vol. 74, pages 132.
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    Cited by:
    1. José Grisolía & Kenneth Willis, 2012. "A latent class model of theatre demand," Journal of Cultural Economics, Springer, vol. 36(2), pages 113-139, May.
    2. Chong Choi & Ron Berger, 2010. "Ethics of Celebrities and Their Increasing Influence in 21st Century Society," Journal of Business Ethics, Springer, vol. 91(3), pages 313-318, February.
    3. Frederick Van der Ploeg, 2005. "The Making of Cultural Policy: A European Perspective," CESifo Working Paper Series 1524, CESifo Group Munich.
    4. Chong Choi & Ron Berger, 2009. "Ethics of Global Internet, Community and Fame Addiction," Journal of Business Ethics, Springer, vol. 85(2), pages 193-200, March.
    5. Cuccia, Tiziana, 2009. "A Contingent Ranking Study on the Preferences of Tourists across Seasons/A Contingent Ranking Study on the Preferences of Tourists across Seasons," Estudios de Economía Aplicada, Estudios de Economía Aplicada, vol. 27, pages 161-176, Abril.
    6. Sumiko Asai, 2011. "Demand analysis of hit music in Japan," Journal of Cultural Economics, Springer, vol. 35(2), pages 101-117, May.
    7. Roberto Zanola, 2010. "Major influences on circus attendance," Empirical Economics, Springer, vol. 38(1), pages 159-170, February.
    8. Kristien Werck & Bruno Heyndels, 2007. "Programmatic choices and the demand for theatre: the case of Flemish theatres," Journal of Cultural Economics, Springer, vol. 31(1), pages 25-41, March.
    9. Luis Antonio Palma M. & Luis Fernando Aguado Q., 2010. "Economía de la cultura. Una nueva área de especialización de la economía," Revista de Economía Institucional, Universidad Externado de Colombia - Facultad de Economía, vol. 12(22), pages 129-165, January-J.
    10. K. Willis & J. Snowball, 2009. "Investigating how the attributes of live theatre productions influence consumption choices using conjoint analysis: the example of the National Arts Festival, South Africa," Journal of Cultural Economics, Springer, vol. 33(3), pages 167-183, August.

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