Armstrong, J. Scott and Brodie, Roderick J. (1999): Forecasting for Marketing. Published in: Quantitative Methods in Marketing : pp. 92-120.
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Abstract
Research on forecasting is extensive and includes many studies that have tested alternative methods in order to determine which ones are most effective. We review this evidence in order to provide guidelines for forecasting for marketing. The coverage includes intentions, Delphi, role-playing, conjoint analysis, judgmental bootstrapping, analogies, extrapolation, rule-based forecasting, expert systems, and econometric methods. We discuss research about which methods are most appropriate to forecast market size, actions of decision makers, market share, sales, and financial outcomes. In general, there is a need for statistical methods that incorporate the manager's domain knowledge. This includes rule-based forecasting, expert systems, and econometric methods. We describe how to choose a forecasting method and provide guidelines for the effective use of forecasts including such procedures as scenarios.
Item Type: | MPRA Paper |
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Original Title: | Forecasting for Marketing |
Language: | English |
Keywords: | forecasting, marketing |
Subjects: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods M - Business Administration and Business Economics ; Marketing ; Accounting ; Personnel Economics > M3 - Marketing and Advertising > M31 - Marketing |
Item ID: | 81690 |
Depositing User: | J Armstrong |
Date Deposited: | 14 Dec 2017 05:44 |
Last Modified: | 30 Sep 2019 04:01 |
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URI: | https://mpra.ub.uni-muenchen.de/id/eprint/81690 |