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Consumer Sentiment and Luxury Behavior in the United States before and after COVID-19: Time Trends and Persistence Analysis

Author

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  • Berta Marcos Ceron

    (Faculty of Social Science, Universidad de Salamanca, E-37007 Salamanca, Spain)

  • Manuel Monge

    (Faculty of Law, Business and Government, Universidad Francisco de Vitoria, E-28223 Madrid, Spain)

Abstract

This paper analyzes the stochastic properties of consumer sentiment to understand how they affected the luxury sector in the United States before and after COVID-19. The results were derived using fractional integration methodologies and suggest that, before the pandemic episode, both variables were expected to be mean reverting and the shocks were transitory, having similar behavior. However, after the appearance of COVID-19, results suggest that consumer sentiment recovered before the luxury sector. Results from the use of cointegration methodologies show that the effects of COVID-19 disappeared in the short-run. Finally, the sentiment of consumers acts as a leading indicator of the behavior of the luxury sector according to wavelet analysis. Thus, an increase in consumer sentiment implies an increase of 3.6% in the luxury sector.

Suggested Citation

  • Berta Marcos Ceron & Manuel Monge, 2023. "Consumer Sentiment and Luxury Behavior in the United States before and after COVID-19: Time Trends and Persistence Analysis," Mathematics, MDPI, vol. 11(16), pages 1-14, August.
  • Handle: RePEc:gam:jmathe:v:11:y:2023:i:16:p:3612-:d:1221537
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    1. Sowell, Fallaw, 1992. "Maximum likelihood estimation of stationary univariate fractionally integrated time series models," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 165-188.
    2. Søren Johansen & Morten Ørregaard Nielsen, 2012. "Likelihood Inference for a Fractionally Cointegrated Vector Autoregressive Model," Econometrica, Econometric Society, vol. 80(6), pages 2667-2732, November.
    3. Holmqvist, Jonas & Wirtz, Jochen & Fritze, Martin P., 2020. "Luxury in the digital age: A multi-actor service encounter perspective," Journal of Business Research, Elsevier, vol. 121(C), pages 747-756.
    4. Diebold, Francis X. & Rudebusch, Glenn D., 1991. "On the power of Dickey-Fuller tests against fractional alternatives," Economics Letters, Elsevier, vol. 35(2), pages 155-160, February.
    5. Carmen M. Reinhart & Kenneth S. Rogoff, 2009. "Is the 2007 US Sub-Prime Financial Crisis So Different?: An International Historical Comparison," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 56(3), pages 291-299.
    6. Julie Sneath & Russell Lacey & Pamela Kennett-Hensel, 2009. "Coping with a natural disaster: Losses, emotions, and impulsive and compulsive buying," Marketing Letters, Springer, vol. 20(1), pages 45-60, March.
    7. Chung, Minjee & Ko, Eunju & Joung, Heerim & Kim, Sang Jin, 2020. "Chatbot e-service and customer satisfaction regarding luxury brands," Journal of Business Research, Elsevier, vol. 117(C), pages 587-595.
    8. Monge, Manuel & Gil-Alana, Luis Alberiko, 2021. "Spatial crude oil production divergence and crude oil price behaviour in the United States," Energy, Elsevier, vol. 232(C).
    9. Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996. "Efficient Tests for an Autoregressive Unit Root," Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
    10. Wang, Zi & Yuan, Ruizhi & Luo, Jun & Liu, Martin J., 2022. "Redefining “masstige” luxury consumption in the post-COVID era," Journal of Business Research, Elsevier, vol. 143(C), pages 239-254.
    11. Monge, Manuel, 2022. "Bunker fuel, commodity prices and shipping market indices following the COVID-19 pandemic. A time-frequency analysis," International Economics, Elsevier, vol. 172(C), pages 29-39.
    12. Manuel Monge, 2022. "Bunker fuel, commodity prices and shipping market indices following the COVID-19 pandemic. A time-frequency analysis," International Economics, CEPII research center, issue 172, pages 29-39.
    13. Zhi-Qiang Jiang & Wei-Xing Zhou, 2011. "Multifractal detrending moving average cross-correlation analysis," Papers 1103.2577, arXiv.org, revised Mar 2011.
    14. Kaytaz, Mehmet & Gul, Misra C., 2014. "Consumer response to economic crisis and lessons for marketers: The Turkish experience," Journal of Business Research, Elsevier, vol. 67(1), pages 2701-2706.
    15. Luís Aguiar-Conraria & Maria Joana Soares, 2014. "The Continuous Wavelet Transform: Moving Beyond Uni- And Bivariate Analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 28(2), pages 344-375, April.
    16. Lee, Dongin & Schmidt, Peter, 1996. "On the power of the KPSS test of stationarity against fractionally-integrated alternatives," Journal of Econometrics, Elsevier, vol. 73(1), pages 285-302, July.
    17. Tonino Pencarelli & Viktória Ali Taha & Veronika Škerháková & Tomáš Valentiny & Richard Fedorko, 2019. "Luxury Products and Sustainability Issues from the Perspective of Young Italian Consumers," Sustainability, MDPI, vol. 12(1), pages 1-25, December.
    18. Jean-Noël Kapferer & Vincent Bastien, 2009. "The specificity of luxury management: Turning marketing upside down," Post-Print hal-00493180, HAL.
    19. Gao-Feng Gu & Wei-Xing Zhou, 2010. "Detrending moving average algorithm for multifractals," Papers 1005.0877, arXiv.org, revised Jun 2010.
    20. Monge, Manuel & Romero Rojo, María Fátima & Gil-Alana, Luis Alberiko, 2023. "The impact of geopolitical risk on the behavior of oil prices and freight rates," Energy, Elsevier, vol. 269(C).
    21. Aguiar-Conraria, Luís & Azevedo, Nuno & Soares, Maria Joana, 2008. "Using wavelets to decompose the time–frequency effects of monetary policy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 387(12), pages 2863-2878.
    22. Hassler, Uwe & Wolters, Jurgen, 1994. "On the power of unit root tests against fractional alternatives," Economics Letters, Elsevier, vol. 45(1), pages 1-5, May.
    23. Wei-Xing Zhou, 2008. "Multifractal detrended cross-correlation analysis for two nonstationary signals," Papers 0803.2773, arXiv.org.
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