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 lsquoModeling Marketing Dynamics by Time Series Econometricsrsquo at the Tuck School of Business at Dartmouth, Hanover, New Hampshire, USA on September 16?17, 2004.
Full Citation
Koen, Pauwels, Imran Currim, Marnik Dekimpe, Eric Ghysels, Dominique Hanssens, and Prasad Naik. “Modeling Marketing Dynamics by Time Series Econometrics.”
Marketing Letters
vol. 15,
(January 01, 2004): 167-83.