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Don’t Worry, Be Happy – But Only Seasonally

Author

Listed:
  • Mateusz Kijewski

    (Faculty of Economic Sciences, University of Warsaw)

  • Szymon Lis

    (Faculty of Economic Sciences, University of Warsaw)

  • Michał Woźniak

    (Faculty of Economic Sciences, University of Warsaw)

  • Maciej Wysocki

    (Faculty of Economic Sciences, University of Warsaw)

Abstract

Current scientific knowledge allows us to assess the impact of socioeconomic variables on musical preferences. The research methods in these studies were psychological experiments and surveys conducted on small groups or analyzing the influence of only one or two variables at the level of the whole society. Instead inspired by the article of The Economist about February being the gloomiest month in terms of music listened to, we have created a dataset with many different variables that will allow us to create more reliable models than the previous datasets. We used the Spotify API to create a monthly dataset with average valence for 26 countries for the period from January 1, 2018, to December 1, 2019. Our study almost fully confirmed the effects of summer, December, and number of Saturdays in a month and contradicted the February effect. In the context of the index of freedom and diversity, the models do not show much consistency. The influence of GDP per capita on the valence was confirmed, while the impact of the happiness index was disproved. All models partially confirmed the influence of the music genre on the valence. Among the weather variables, two models confirmed the significance of the temperature variable. All in all, effects analyzed by us can broaden artists' knowledge of when to release new songs or support recommendation engines for streaming services.

Suggested Citation

  • Mateusz Kijewski & Szymon Lis & Michał Woźniak & Maciej Wysocki, 2021. "Don’t Worry, Be Happy – But Only Seasonally," Working Papers 2021-12, Faculty of Economic Sciences, University of Warsaw.
    • Handle: RePEc:war:wpaper:2021-12
    as

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    File URL: https://www.wne.uw.edu.pl/index.php/download_file/6529/
    File Function: First version, 2021
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    References listed on IDEAS

    as
    1. Meijun Liu & Xiao Hu & Markus Schedl, 2018. "The relation of culture, socio-economics, and friendship to music preferences: A large-scale, cross-country study," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-29, December.
    2. Julia Campos & Neil R. Ericsson & David F. Hendry, 2005. "General-to-specific modeling: an overview and selected bibliography," International Finance Discussion Papers 838, Board of Governors of the Federal Reserve System (U.S.).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    valence; spotify; happiness; statistical panel analysis; explainable machine learning;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I31 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - General Welfare, Well-Being

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