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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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    References listed on IDEAS

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    1. 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.
    2. Jean-Pierre Dubé & K. Sudhir & Andrew Ching & Gregory Crawford & Michaela Draganska & Jeremy Fox & Wesley Hartmann & Günter Hitsch & V. Viard & Miguel Villas-Boas & Naufel Vilcassim, 2005. "Recent Advances in Structural Econometric Modeling: Dynamics, Product Positioning and Entry," Marketing Letters, Springer, vol. 16(3), pages 209-224, December.
    3. Prasad A. Naik & Murali K. Mantrala & Alan G. Sawyer, 1998. "Planning Media Schedules in the Presence of Dynamic Advertising Quality," Marketing Science, INFORMS, vol. 17(3), pages 214-235.
    4. repec:dgr:rugsom:03f13 is not listed on IDEAS
    5. Robert B. Litterman, 1984. "Above-average national growth in 1985 and 1986," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Fall.
    6. Horváth, Csilla & Wieringa, Jaap E., 2003. "Combining time series and cross sectional data for the analysis of dynamic marketing systems," Research Report 03F13, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    7. 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.
    8. 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.
    9. Robert B. Litterman, 1984. "Forecasting and policy analysis with Bayesian vector autoregression models," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Fall.
    10. Maurice W. Sasieni, 1971. "Optimal Advertising Expenditure," Management Science, INFORMS, vol. 18(4-Part-II), pages 64-72, December.
    11. Lemmens, A. & Croux, C. & Dekimpe, M.G., 2004. "Decomposing Granger Causality over the Spectrum," ERIM Report Series Research in Management ERS-2004-102-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.
    12. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    13. Vincent R. Nijs & Marnik G. Dekimpe & Jan-Benedict E.M. Steenkamps & Dominique M. Hanssens, 2001. "The Category-Demand Effects of Price Promotions," Marketing Science, INFORMS, vol. 20(1), pages 1-22, September.
    14. Marnik G. Dekimpe & Dominique M. Hanssens, 1995. "The Persistence of Marketing Effects on Sales," Marketing Science, INFORMS, vol. 14(1), pages 1-21.
    15. Deleersnyder, B. & Geyskens, I. & Gielens, K. & Dekimpe, M.G., 2002. "How Cannibalistic is the Internet Channel?," ERIM Report Series Research in Management ERS-2002-22-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.
    16. Allenby, G.M. & Rossi, P.E., 1988. "There Is No Aggregation Bias: Why Macro Logit Models Work," Papers 88-62, Chicago - Graduate School of Business.
    17. 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 (QME), Springer, vol. 2(4), pages 347-383, December.
    18. Maurice W. Sasieni, 1989. "Optimal Advertising Strategies," Marketing Science, INFORMS, vol. 8(4), pages 358-370.
    19. Fok, D. & Horváth, C. & Paap, R. & Franses, Ph.H.B.F., 2004. "A hierarchical Bayes error correction model to explain dynamic effects," Econometric Institute Research Papers EI 2004-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    20. Lemmens, Aurelie & Croux, Christophe & Dekimpe, Marnik G., 2005. "On the predictive content of production surveys: A pan-European study," International Journal of Forecasting, Elsevier, vol. 21(2), pages 363-375.
    21. Koen Pauwels & Shuba Srinivasan, 2004. "Who Benefits from Store Brand Entry?," Marketing Science, INFORMS, vol. 23(3), pages 364-390, July.
    22. S. Baranzoni & P. Bianchi & L. Lambertini, 2000. "Multiproduct Firms, Product Differentiation, and Market Structure," Working Papers 368, Dipartimento Scienze Economiche, Universita' di Bologna.
    23. Stanley C. Hollander & Kathleen M. Rassuli (ed.), 1993. "Marketing," Books, Edward Elgar Publishing, volume 0, number 512.
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    Citations

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    Cited by:

    1. Michis Antonis A, 2009. "Regression Analysis of Marketing Time Series: A Wavelet Approach with Some Frequency Domain Insights," Review of Marketing Science, De Gruyter, vol. 7(1), pages 1-43, July.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. repec:eee:ijrema:v:26:y:2009:i:1:p:13-20 is not listed on IDEAS
    7. 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.
    8. 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.
    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. repec:eee:ijrema:v:29:y:2012:i:1:p:81-92 is not listed on IDEAS
    12. repec:eee:jouret:v:88:y:2012:i:3:p:343-355 is not listed on IDEAS

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