Modeling marketing dynamics by time series econometrics

K. Pauwels, I. Currim, Marnik Dekimpe, D.M. Hanssens, N. Mizik, E. Ghysels, P. Naik

Research output: Contribution to journalArticleScientificpeer-review

39 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)167-183
JournalMarketing Letters
Volume15
Issue number4
DOIs
Publication statusPublished - Jan 2005
Externally publishedYes

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  • Cite this

    Pauwels, K., Currim, I., Dekimpe, M., Hanssens, D. M., Mizik, N., Ghysels, E., & Naik, P. (2005). Modeling marketing dynamics by time series econometrics. Marketing Letters, 15(4), 167-183. https://doi.org/10.1007/s11002-005-0455-0