| Affiliation: | (1) Tuck School of Business at Dartmouth, Dartmouth;(2) Graduate School of Management, University of California, Irvine;(3) Catholic University Leuven, Belgium;(4) Erasmus University Rotterdam, The Netherlands;(5) Kenan-Flagler Business School, UNC Chapel Hill;(6) UCLA Anderson School of Management, USA;(7) Graduate School of Business, Columbia University, USA;(8) Graduate School of Management, University of California, Davis |
| 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.Insights from the First Annual Conference, Tuck School of Business at DartmouthThis revised version was published online in May 2005 with a corrected cover date. |
