Forecasting Alcohol Consumption in the Czech Republic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F16%3A43909850" target="_blank" >RIV/62156489:43110/16:43909850 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.sbspro.2016.05.522" target="_blank" >http://dx.doi.org/10.1016/j.sbspro.2016.05.522</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.sbspro.2016.05.522" target="_blank" >10.1016/j.sbspro.2016.05.522</a>
Alternative languages
Result language
angličtina
Original language name
Forecasting Alcohol Consumption in the Czech Republic
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
AH - Economics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Procedia - Social and Behavioral Sciences
ISBN
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ISSN
1877-0428
e-ISSN
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Number of pages
9
Pages from-to
472-480
Publisher name
Elsevier Science BV
Place of publication
Amsterdam
Event location
Brno
Event date
Mar 10, 2016
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
000386948700055