IDEAS home Printed from https://ideas.repec.org/p/war/wpaper/2021-12.html

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

    Download full text from publisher

    File URL: https://www.wne.uw.edu.pl/index.php/download_file/6529/
    File Function: First version, 2021
    Download Restriction: no
    ---><---

    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)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Sucarrat, Genaro, 2009. "Forecast Evaluation of Explanatory Models of Financial Variability," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy, vol. 3, pages 1-33.
    2. Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia & Brzeszczyński, Janusz, 2025. "Energy in turmoil: Industry resilience to uncertainty during the global energy crisis," Applied Energy, Elsevier, vol. 389(C).
    3. Belman, Dale. & Wolfson, Paul J., 2016. "What does the minimum wage do in developing countries? : A review of studies and methodologies," ILO Working Papers 994893283402676, International Labour Organization.
    4. Sung, Jinyong & Shi, Xunpeng & Teske, Sven & Li, Mengheng, 2026. "Identifying key natural gas drivers towards China's carbon neutrality through a novel temporal shrinkage framework," Resources Policy, Elsevier, vol. 119(C).
    5. Furuoka, Fumitaka, 2015. "The CO2 emissions–development nexus revisited," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1256-1275.
    6. Robert A. Buckle & John Creedy & Norman Gemmell, 2020. "Is external research assessment associated with convergence or divergence of research quality across universities and disciplines? Evidence from the PBRF process in New Zealand," Applied Economics, Taylor & Francis Journals, vol. 52(36), pages 3919-3932, July.
    7. Cui, Jin & In, Francis & Maharaj, Elizabeth Ann, 2016. "What drives the Libor–OIS spread? Evidence from five major currency Libor–OIS spreads," International Review of Economics & Finance, Elsevier, vol. 45(C), pages 358-375.
    8. Bauwens, Luc & Sucarrat, Genaro, 2010. "General-to-specific modelling of exchange rate volatility: A forecast evaluation," International Journal of Forecasting, Elsevier, vol. 26(4), pages 885-907, October.
    9. Lutkepohl, Helmut, 2007. "General-to-specific or specific-to-general modelling? An opinion on current econometric terminology," Journal of Econometrics, Elsevier, vol. 136(1), pages 319-324, January.
    10. Hasanov, Fakhri J. & Shannak, Sa'd, 2020. "Electricity incentives for agriculture in Saudi Arabia. Is that relevant to remove them?," Energy Policy, Elsevier, vol. 144(C).
    11. Woo, Kai-Yin & Lee, Shu-Kam & Chan, Alan, 2014. "Non-linear adjustments to intranational PPP," Journal of Macroeconomics, Elsevier, vol. 40(C), pages 360-371.
    12. Salman Huseynov & Fuad Mammadov, 2016. "A small scale forecasting and simulation model for Azerbaijan (FORSAZ)," Working Papers 1608, Central Bank of Azerbaijan Republic.
    13. Dardanoni, Valentino & Modica, Salvatore & Peracchi, Franco, 2011. "Regression with imputed covariates: A generalized missing-indicator approach," Journal of Econometrics, Elsevier, vol. 162(2), pages 362-368, June.
    14. Carlos Gustavo Machicado Salas, 2018. "De Las Causas Próximas A Las Causas Profundas Del Crecimiento Económico De Bolivia Entre 1950 Y 2015," Development Research Working Paper Series 09/2018, Institute for Advanced Development Studies.
    15. Churchill, Sefa Awawoyi & Yew, Siew Ling & Ugur, Mehmet, 2015. "Effects of government education and health expenditures on economic growth: a meta-analysis," Greenwich Papers in Political Economy 14072, University of Greenwich, Greenwich Political Economy Research Centre.
    16. Massimiliano Kaucic, 2009. "Predicting EU Energy Industry Excess Returns on EU Market Index via a Constrained Genetic Algorithm," Computational Economics, Springer;Society for Computational Economics, vol. 34(2), pages 173-193, September.
    17. Awaworyi Churchill, S. & Yew, S.L., 2017. "Are government transfers harmful to economic growth? A meta-analysis," Economic Modelling, Elsevier, vol. 64(C), pages 270-287.
    18. Wolf, C, 2008. "Does Ownership Matter? The Performance and Efficiency of State Oil vs. Private Oil (1987-2006)," Cambridge Working Papers in Economics 0828, Faculty of Economics, University of Cambridge.
    19. Jung, Alexander, 2020. "An empirical analysis of loan supply and demand in the euro area," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 187-201.
    20. Garcia-Herrero, Alicia & Santabarbara, Daniel, 2007. "Does China have an impact on foreign direct investment to Latin America?," China Economic Review, Elsevier, vol. 18(3), pages 266-286.

    More about this item

    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:war:wpaper:2021-12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Jacek Rapacz (email available below). General contact details of provider: https://edirc.repec.org/data/fesuwpl.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.