Acta Univ. Agric. Silvic. Mendelianae Brun. 2016, 64(6), 2133-2140 | DOI: 10.11118/actaun201664062133
Forecasting Alcohol Consumption in the Czech Republic
- Department of Marketing and Trade, Faculty of Business and Economics, Mendel University in Brno, Zemědělská 1, 613 00 Brno, Czech Republic
The paper deals with a forecast of developments in alcohol consumption based on current alcohol consumption per capita (expressed in litres of pure alcohol), and time series extrapolations. Alcohol consumption is to be considered from the vantage point of knowing the specifics of the product and the consequences of its excessive consumption. The predictive methodology makes use of the Box-Jenkins method; the ARIMA model, taking into account the autocorrelation and partial autocorrelation process, which is a prerequisite for the successful identification of a time series model; model parameter estimation; appropriate transformations of time series; determining the order of differentiation and subsequent verification of the model. The chosen methodology for future trends in alcohol consumptions is a prerequisite for the proposed optional measures to control alcohol consumption in the Czech Republic. Due to the long term nature of the process to draw up and implement alcohol consumption regulation measures, the forecast covers the forthcoming 10 years.
Keywords: alcohol consumption, pure alcohol, trend forecast prediction, the ARIMA model
Grants and funding:
A published article was supported by Internal Grant Agency PEF [PEF_DP_2016022]. The name of the project is: "Consumer behavior of adolescents on the market of alcoholic beverages".
Prepublished online: December 21, 2016; Published: January 1, 2017 Show citation
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