A Note on Forecasting Alcohol Demand

Derby Voon, James Fogarty

Research output: Contribution to journalArticle

Abstract

A recent study in the Journal of Wine Economics presented forecasts of future alcohol consumption derived using the ARIMA (Box-Jenkins) method. Alcohol consumption forecasts can be developed using many different methodologies. In this Note we highlight the value of using multiple methods to develop alcohol consumption forecasts, and demonstrate the capability of the R software platform as a general forecasting tool. (JEL Classifications: D12, C53).

Original languageEnglish
JournalJournal of Wine Economics
DOIs
Publication statusPublished - 1 Jan 2019

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Alcohol Drinking
alcohols
Alcohols
Wine
wines
Software
methodology
Economics
economics
alcohol drinking
Alcohol
Alcohol consumption
Economic forecast
JEL classification
Methodology
Box-Jenkins

Cite this

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title = "A Note on Forecasting Alcohol Demand",
abstract = "A recent study in the Journal of Wine Economics presented forecasts of future alcohol consumption derived using the ARIMA (Box-Jenkins) method. Alcohol consumption forecasts can be developed using many different methodologies. In this Note we highlight the value of using multiple methods to develop alcohol consumption forecasts, and demonstrate the capability of the R software platform as a general forecasting tool. (JEL Classifications: D12, C53).",
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A Note on Forecasting Alcohol Demand. / Voon, Derby; Fogarty, James.

In: Journal of Wine Economics, 01.01.2019.

Research output: Contribution to journalArticle

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