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Income Inequality and Status Symbols: The Case of Fine Wine Imports

Published online by Cambridge University Press:  11 November 2019

Britta Niklas Open the ORCID record for Britta Niklas [Opens in a new window]  and
Elkhan Richard Sadik-Zada
Britta Niklas
Affiliation:
Institute of Development Research and Development Policy, Ruhr-University Bochum, Universitaetsstr. 105, 44789Bochum, Germany; e-mail: [email protected].
Elkhan Richard Sadik-Zada
Affiliation:
Institute of Development Research and Development Policy, Ruhr-University Bochum, Universitaetsstr. 105, 44789Bochum, Germany; e-mail: [email protected].
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Abstract

This survey investigates the inequality-fine wine imports nexus. To this end, the study employs cointegration techniques to analyze two panel datasets, one of which will analyze data from 12 countries between 1871 and 2018, and another that analyzes data from 66 countries between 1995 and 2017. Estimations indicate that income inequality leads to more fine wine imports in the long run. Changes in income have only a short-term effect on fine wine imports. Nonlinear autoregressive distributed lag (NARDL) estimators reveal an asymmetric long-run relationship between income inequality and fine wine imports in the cases of Argentina and the United States. (JEL Classifications: C19, D01, D12, D31, L66)

Keywords

fine wine importsincome inequalitynonlinear autoregressive distributed lag modelpooled mean groupstatus symbols
Type
Articles
Information
Journal of Wine Economics , Volume 14 , Issue 4 , November 2019 , pp. 365 - 373
Copyright
Copyright © American Association of Wine Economists 2019

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Footnotes

We would like to thank the editor and an anonymous reviewer for valuable suggestions. We would also like to thank the participants attending our session at the 13th Annual AAWE Conference in Vienna for their helpful comments.

References

Bouët, A., Emlinger, C., and Lamani, V. (2017). What determines exports of luxury products? The case of cognac. Journal of Wine Economics, 12(1), 37–58.CrossRefGoogle Scholar
Cardebat, J.-M., and Figuet, J.-M. (2019). The impact of exchange rates on French wine exports. Journal of Wine Economics, 14(1), 71–89.CrossRefGoogle Scholar
Cavalcanti, T. V., Mohaddes, K., and Raissi, M. (2011). Does oil abundance harm growth? Applied Economics Letters, 18(12), 1181–1184.CrossRefGoogle Scholar
Charles, K. K., Hurst, E., and Roussanov, N. (2009). Conspicuous consumption and race. Quarterly Journal of Economics, 124(2), 425–467.CrossRefGoogle Scholar
Cholette, S., and Castaldi, R. (2005). Analyzing the US retail wine market using price and consumer segmentation models. 2nd International Wine Marketing Symposium, Sonoma State University, Rohnert Park, CA, July 8 and 9. Available at http://online.sfsu.edu/cholette/public_research/Sonoma-Segmentation.pdf (accessed October 2, 2019).Google Scholar
Corsi, A. (2016). The China Wine Barometer: A look into the future. Ehrenberg-Bas Institute for Marketing Science, University of South Australia, Final Report to Wine Australia. Available at https://www.wineaustralia.com/getmedia/e4cfe4fa-2b11-4eea-9230-b6bfdd0e48ab/USA1202_FinalReport (accessed May 8, 2019).Google Scholar
De Botton, A. (2008). Status Anxiety. New York, NY: Vintage.Google Scholar
Eurostat (2018). International trade/International trade in goods/International trade in goods-detailed data: EU trade since 1988 CN8 (DS-016890) (06.08.2018). Available at http://ec.europa.eu/eurostat/data/database.Google Scholar
Frank, R. H. (2010). Luxury Fever: Weighing the Cost of Excess. Princeton, NJ: Princeton University Press.Google Scholar
Garcia, S. M., Weaver, K., and Chen, P. (2019). The status signals paradox. Social Psychological and Personality Science, 10(5), 690–696.CrossRefGoogle Scholar
Harding, R. G. (2017). Advertisements of every kind to bring their brand into notoriety: Branding and “brandolatry” in the nineteenth-century champagne trade in Britain. Journal of Wine Economics, 12(4), 378–385.CrossRefGoogle Scholar
Haselmann, R., Schoenherr, D., and Vig, V. (2018). Rent seeking in elite networks. Journal of Political Economy, 126(4), 1638–1690.CrossRefGoogle Scholar
Hudders, L., Pandelaere, M., and Vyncke, P. (2013). Consumer meaning making: The meaning of luxury brands in a democratised luxury world. International Journal of Market Research, 55(3), 391–412.CrossRefGoogle Scholar
Jarrett, S., and Jarvis, W. (2016). Defining the luxury wine category via an assessment of price-tier perceptions. In Bruwer, J. et al. (eds.), 9th Academy of Wine Business Research Conference: Wine Business Research that Matters, 484–491. Adelaide, Australia: University of South Australia.Google Scholar
Jiao, L. (2016). Macroeconomic determinants of wine prices. American Association of Wine Economists, Working Paper No. 202 – Economics, August. Available at https://www.wine-economics.org/wp-content/uploads/2016/08/AAWE_WP202.pdf.Google Scholar
Maddala, G. S., and Wu, S. (1999). A comparative study of unit root tests with panel data and new simple test. Oxford Bulletin of Economics and Statistics, 61, 631–652.CrossRefGoogle Scholar
Merton, P. J. (2017). Patterns of relative cost of champagne by the dame producer: Analysis of the cost of entry-level, mid-range, and flagship champagne. Journal of Wine Economics, 12(4), 426–435.CrossRefGoogle Scholar
Mohaddes, K., and Raissi, M. (2017). Do sovereign wealth funds dampen the negative effects of commodity price volatility? Economic Research Forum Working Paper No. 1106, June. Available at https://erf.org.eg/wp-content/uploads/2017/06/1106.pdf.Google Scholar
Pan, S., Fang, C., and Malaga, J. (2006). Alcoholic beverage consumption in China: A censored demand system approach. Applied Economics Letters, 13, 975–979.CrossRefGoogle Scholar
Pesaran, H., Shin, Y., and Smith, R. (1999). Pooled mean group estimation of dynamic heterogenous panels. Journal of American Statistical Association, 94, 621–634.CrossRefGoogle Scholar
Pesaran, H. M., and Smith, R. (1995). Estimating long-run relationships from dynamic heterogeneous panels. Journal of Econometrics, 68(1), 79–113.CrossRefGoogle Scholar
Piacentini, R., and Mailer, G. (2004). Symbolic consumption in teenagers’ clothing choices. Journal of Consumer Behaviour, 3, 251–262.CrossRefGoogle Scholar
Podolny, J. M. (2010). Status Signals: A Sociological Study of Market Competition. Princeton, NJ: Princeton University Press.Google Scholar
Ray, A., and Vatan, A. (2013). Demand for Luxury Goods in a World of Income Disparities. Paris School of Economics, G-MonD Working Paper No. 36, October. Available at https://www.parisschoolofeconomics.eu/IMG/pdf/wp36-gmond-luxury-goods-oct2013.pdf.Google Scholar
Shin, Y., Yu, B., and Greenwood-Nimmo, M. (2014). Modelling asymmetric cointegration and dynamic multipliers in a nonlinear ARDL framework. In Sickles, R. C. and Horrace, W. C. (eds.), Festschrift in Honor of Peter Schmidt, 281–314. New York: Springer.CrossRefGoogle Scholar
UN Comtrade Database (2018). Available from https://comtrade.un.org/data. (Accessed December 8, 2018).Google Scholar
Van der Loos, A. (2015). Wine as a symbol of social status and the effect of this on the marketing and consumption of wine. Available at https://de.slideshare.net/AlexVanDerLoos/wine-as-a-symbol-of-social-status?qid=83092fd9-c147-44ae-ad16-dc07084c1dc4&v=&b=&from_search=1.Google Scholar
World Development Indicators (WDI) (2019). Available at http://datatopics.worldbank.org/world-development-indicators/.Google Scholar
World Inequality Database (WID) (2019). Available at https://wid.world/data/.Google Scholar