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Modeling Marketing Dynamics by Time Series Econometrics

Author

Listed:
  • Koen Pauwels
  • Imran Currim
  • Marnik Dekimpe
  • Dominique Hanssens
  • Natalie Mizik
  • Eric Ghysels
  • Prasad Naik

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

Suggested Citation

  • Koen Pauwels & Imran Currim & Marnik Dekimpe & Dominique Hanssens & Natalie Mizik & Eric Ghysels & Prasad Naik, 2004. "Modeling Marketing Dynamics by Time Series Econometrics," Marketing Letters, Springer, vol. 15(4), pages 167-183, December.
    • Handle: RePEc:kap:mktlet:v:15:y:2004:i:4:p:167-183
    DOI: 10.1007/s11002-005-0455-0
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    5. Leeflang, Peter S.H. & Bijmolt, Tammo H.A. & van Doorn, Jenny & Hanssens, Dominique M. & van Heerde, Harald J. & Verhoef, Peter C. & Wieringa, Jaap E., 2009. "Creating lift versus building the base: Current trends in marketing dynamics," International Journal of Research in Marketing, Elsevier, vol. 26(1), pages 13-20.
    6. J. Andrew Petersen & V. Kumar & Yolanda Polo & F. Javier Sese, 2018. "Unlocking the power of marketing: understanding the links between customer mindset metrics, behavior, and profitability," Journal of the Academy of Marketing Science, Springer, vol. 46(5), pages 813-836, September.
    7. Oded Netzer & James M. Lattin & V. Srinivasan, 2008. "A Hidden Markov Model of Customer Relationship Dynamics," Marketing Science, INFORMS, vol. 27(2), pages 185-204, 03-04.
    8. M.G. Dekimpe & D.M. Hanssens, 2005. "Persistence Models and Marketing Strategy," Review of Business and Economic Literature, KU Leuven, Faculty of Economics and Business (FEB), Review of Business and Economic Literature, vol. 0(5), pages 855-884.
    9. Crespo Cuaresma, Jesus & Stöckl, Matthias, 2012. "The Effect of Marketing Spending on Sales in the Premium Car Segment: New Evidence from Germany," Working Papers in Economics 2012-2, University of Salzburg.
    10. Lemmens, A. & Croux, C. & Stremersch, S., 2012. "Dynamics in international market segmentation of new product growth," Other publications TiSEM 306086bd-670f-48d2-97d1-3, Tilburg University, School of Economics and Management.
    11. Lemmens, Aurélie & Croux, Christophe & Stremersch, Stefan, 2012. "Dynamics in the international market segmentation of new product growth," International Journal of Research in Marketing, Elsevier, vol. 29(1), pages 81-92.
    12. Jonathan Z. Zhang & Chun-Wei Chang, 2021. "Consumer dynamics: theories, methods, and emerging directions," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 166-196, January.
    13. Lamey, L. & Deleersnyder, B. & Dekimpe, M.G. & Steenkamp, J-B.E.M., 2005. "The Impact of Business-Cycle Fluctuations on Private-Label Share," ERIM Report Series Research in Management ERS-2005-061-MKT, 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 University Rotterdam.
    14. 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.
    15. Lemmens, A. & Croux, C. & Dekimpe, M.G., 2007. "Consumer confidence in Europe : United in diversity," Other publications TiSEM ea8c3268-2c0b-4fcc-9d4a-6, Tilburg University, School of Economics and Management.
    16. Wei-Chun Hsu & Lin Lin & Chen-Yu Li, 2014. "Forecasting automobile sales: the Peña-Box approach," Transportation Planning and Technology, Taylor & Francis Journals, vol. 37(6), pages 568-580, August.
    17. Hailiang Chen & Prabuddha De & Yu Jeffrey Hu, 2015. "IT-Enabled Broadcasting in Social Media: An Empirical Study of Artists’ Activities and Music Sales," Information Systems Research, INFORMS, vol. 26(3), pages 513-531, September.
    18. Hamid Baghestani & Paul Williams, 2017. "Does customer satisfaction have directional predictability for U.S. discretionary spending?," Applied Economics, Taylor & Francis Journals, vol. 49(54), pages 5504-5511, November.
    19. Kaifu Zhang & Theodoros Evgeniou & V. Padmanabhan & Emile Richard, 2012. "Content Contributor Management and Network Effects in a UGC Environment," Marketing Science, INFORMS, vol. 31(3), pages 433-447, May.
    20. Jung Ah Han & Elea McDonnell Feit & Shuba Srinivasan, 2020. "Can negative buzz increase awareness and purchase intent?," Marketing Letters, Springer, vol. 31(1), pages 89-104, March.
    21. Ryan Dew & Nicolas Padilla & Anya Shchetkina, 2024. "Your MMM is Broken: Identification of Nonlinear and Time-varying Effects in Marketing Mix Models," Papers 2408.07678, arXiv.org.
    22. Wang, Dianwen & Yang, Zhilin & Ding, Zhihua, 2019. "Is Sociability or Interactivity more Effective for Enhancing Performance? Findings from a Massively Multiplayer Online Role-Playing Game," Journal of Interactive Marketing, Elsevier, vol. 48(C), pages 106-119.
    23. Dawes, John G., 2012. "Brand-Pack Size Cannibalization Arising from Temporary Price Promotions," Journal of Retailing, Elsevier, vol. 88(3), pages 343-355.
    24. Mohamed Elshazli A. Zidan & Anouar Ben Mabrouk & Nidhal Ben Abdallah & Tawfeeq M. Alanazi, 2024. "Multifractal wavelet dynamic mode decomposition modeling for marketing time series," Papers 2403.13361, arXiv.org.

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