Title: Time-series models in marketing: Past, present and future
Authors: Dekimpe, Marnik ×
Hanssens, DM #
Issue Date: 2000
Series Title: International Journal of Research in Marketing vol:17 (Sept.) issue:2 pages:183-193
Abstract: Time-series methods have been available to explain and forecast the behavior of longitudinal variables for several decades. At first, these methods received relatively little attention from marketing model builders and users. A number of obstacles to their more widespread use have recently been attenuated. Most notably, scanner data covering longer time spans have become available and much progress has been made on the important yet difficult problem of assessing long-term marketing effectiveness
ISSN: 0167-8116
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Centre for Marketing and Consumer Science, Leuven
× corresponding author
# (joint) last author

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