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A microeconometric analysis of album sales success in the Polish music market


  • Mateusz Mysliwski

    () (Warsaw School of Economics)


The aim of this paper is twofold. Firstly, we attempt to investigate the challenges for the constantly changing music industry on the ex- ample of Poland, positing a conclusion that both artists and lables could pro t from a precisely determined set of factors in uencing the ultimate sales success. On the other hand, the article intends to ll the gap between record industry analyses an econometric literature, as in the course of research, we found that the use of quantitative methods is rarely encountered in such analyses. The study uses a self-compiled dataset, containing information on 619 albums, which appeared on the Ocial Sales Chart (OLiS) between 2008 and 2009. We propose three models for di erent quantitative variables and summarize the obtained results, stating that the use of microeconometric methods in this area of research seems promising.

Suggested Citation

  • Mateusz Mysliwski, 2011. "A microeconometric analysis of album sales success in the Polish music market," Working Papers 54, Department of Applied Econometrics, Warsaw School of Economics.
  • Handle: RePEc:wse:wpaper:54

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    References listed on IDEAS

    1. Tversky, Amos & Kahneman, Daniel, 1992. "Advances in Prospect Theory: Cumulative Representation of Uncertainty," Journal of Risk and Uncertainty, Springer, vol. 5(4), pages 297-323, October.
    2. Harry Markowitz, 1952. "The Utility of Wealth," Journal of Political Economy, University of Chicago Press, vol. 60, pages 151-151.
    3. Quiggin, John, 1982. "A theory of anticipated utility," Journal of Economic Behavior & Organization, Elsevier, vol. 3(4), pages 323-343, December.
    4. Wakker, Peter, 1989. "Continuous subjective expected utility with non-additive probabilities," Journal of Mathematical Economics, Elsevier, vol. 18(1), pages 1-27, February.
    5. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-291, March.
    6. Handa, Jagdish, 1977. "Risk, Probabilities, and a New Theory of Cardinal Utility," Journal of Political Economy, University of Chicago Press, vol. 85(1), pages 97-122, February.
    7. Kontek, Krzysztof, 2009. "On Mental Transformations," MPRA Paper 16516, University Library of Munich, Germany.
    8. Drazen Prelec, 1998. "The Probability Weighting Function," Econometrica, Econometric Society, vol. 66(3), pages 497-528, May.
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    More about this item


    music industry; discrete choice models; partial proportional odds model;

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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