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Modeling Marketing Dynamics by Time Series Econometrics

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Author Info
Koen Pauwels ()
Imran Currim
Marnik Dekimpe
Dominique Hanssens
Natalie Mizik
Eric Ghysels
Prasad Naik

Additional information is available for the following registered author(s):

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. Copyright Kluwer Academic Publishers 2004

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File URL: http://hdl.handle.net/10.1007/s11002-005-0455-0
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Publisher Info
Article provided by Springer in its journal Marketing Letters.

Volume (Year): 15 (2004)
Issue (Month): 4 (December)
Pages: 167-183
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:kap:mktlet:v:15:y:2004:i:4:p:167-183

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Web page: http://www.springerlink.com/link.asp?id=100312

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Related research
Keywords: time series models; marketing dynamics; data richness; Lucas critique; impulse response functions;

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

  1. Deleersnyder, B. & Geyskens, I. & Gielens, K. & Dekimpe, M.G., 2002. "How Cannibalistic is the Internet Channel?," Research Paper ERS-2002-22-MKT Revision_, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
  2. Pesaran, M. Hashem & Smith, Ron, 1995. "Estimating long-run relationships from dynamic heterogeneous panels," Journal of Econometrics, Elsevier, vol. 68(1), pages 79-113, July. [Downloadable!] (restricted)
    Other versions:
  3. Robert B. Litterman, 1984. "Forecasting and policy analysis with Bayesian vector autoregression models," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Fall. [Downloadable!]
  4. Heerde, H.J. van & Dekimpe, M.G. & Putsis Jr, W.P., 2004. "Marketing Models and the Lucas Critique," Research Paper ERS-2004-080-MKT Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
  5. Dekimpe, M.G. & Franses, Ph.H.B.F. & Hanssens, D.M. & Naik, P., 2006. "Time-Series Models in Marketing," Research Paper ERS-2006-049-MKT Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
  6. Barbara Deleersnyder & Marnik G. Dekimpe & Miklos Sarvary & Philip M. Parker, 2004. "Weathering Tight Economic Times: The Sales Evolution of Consumer Durables Over the Business Cycle," Quantitative Marketing and Economics, Springer, vol. 2(4), pages 347-383, December. [Downloadable!] (restricted)
    Other versions:
  7. Dekimpe, M.G. & Hanssens, D.M., 2003. "Persistence Modeling for Assessing Marketing Strategy Performance," Research Paper ERS-2003-088-MKT Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
  8. Hakkio, Craig S. & Rush, Mark, 1991. "Cointegration: how short is the long run?," Journal of International Money and Finance, Elsevier, vol. 10(4), pages 571-581, December. [Downloadable!] (restricted)
    Other versions:
  9. Srinivasan, S. & Pauwels, K.H. & Hanssens, D.M. & Dekimpe, M.G., 2002. "Do Promotions Benefit Manufacturers, Retailers or Both?," Research Paper ERS-2002-21-MKT Revision_, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
  10. Lemmens, A. & Croux, C. & Dekimpe, M.G., 2004. "Decomposing Granger Causality over the Spectrum," Research Paper ERS-2004-102-MKT Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
  11. Robert B. Litterman, 1984. "Above-average national growth in 1985 and 1986," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Fall. [Downloadable!]
  12. G. Dekimpe, Marnik & Hanssens, Dominique M. & Silva-Risso, Jorge M., 1998. "Long-run effects of price promotions in scanner markets," Journal of Econometrics, Elsevier, vol. 89(1-2), pages 269-291, November. [Downloadable!] (restricted)
Full references

Cited by:
(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Netzer, Oded & Lattin, James M. & Srinivasan, V. "Seenu", 2007. "A Hidden Markov Model of Customer Relationship Dynamics," Research Papers 1904r, Stanford University, Graduate School of Business. [Downloadable!]
  2. Lamey, L. & Deleersnyder, B. & Dekimpe, M.G. & Steenkamp, J.B.E.M., 2005. "The Impact of Business-Cycle Fluctuations on Private-Label Share," Research Paper ERS-2005-061-MKT Revision, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus Uni. [Downloadable!]
  3. Robert Krider & Tieshan Li & Yong Liu & Charles Weinberg, 2008. "Demand and distribution relationships in the ready-to-drink iced tea market: A graphical approach," Marketing Letters, Springer, vol. 19(1), pages 1-12, March. [Downloadable!] (restricted)
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