Title: Modeling marketing dynamics by time series econometrics
Authors: Pauwels, Koen ×
Currim, Imran
Dekimpe, Marnik
Ghysels, Eric
Hanssens, Dominique M
Mizik, Natalie
Naik, Prasad #
Issue Date: 2005
Series Title: Marketing Letters vol:15 issue:4 (Jan.) pages:167-183
Abstract: This paper argues that time-series econometrics provides valuable tools and opens exciting research opportunities to marketing researchers. It allows marketing researchers to advance traditional modeling and estimation approaches by incorporating dynamic processes to answer new important research questions. The authors discuss the challenges facing time-series modelers in marketing, provide an overview of recent methodological developments and several applications, and highlight fruitful areas for future research. This discussion is based on the First Annual Conference on 'Modeling Marketing Dynamics by Time Series Econometrics' at the Tuck School of Business at Dartmouth, Hanover, New Hampshire, USA on September 16-17, 2004.
ISSN: 0923-0645
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Research Centre for Marketing and Consumer Science, Leuven
× corresponding author
# (joint) last author

Files in This Item:
File Status SizeFormat
modeling marketing.pdf Published 169KbAdobe PDFView/Open


All items in Lirias are protected by copyright, with all rights reserved.

© Web of science