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Modeling Marketing Dynamics by Time Series Econometrics

  • Koen Pauwels

    ()

  • Imran Currim
  • Marnik Dekimpe
  • Dominique Hanssens
  • Natalie Mizik
  • Eric Ghysels
  • Prasad Naik

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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Article provided by Springer in its journal Marketing Letters.

Volume (Year): 15 (2004)
Issue (Month): 4 (December)
Pages: 167-183

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Handle: RePEc:kap:mktlet:v:15:y:2004:i:4:p:167-183
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  1. repec:ner:tilbur:urn:nbn:nl:ui:12-332471 is not listed on IDEAS
  2. Durbin, James & Koopman, Siem Jan, 2001. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, number 9780198523543, March.
  3. repec:ner:tilbur:urn:nbn:nl:ui:12-358916 is not listed on IDEAS
  4. Marnik G. Dekimpe & Dominique M. Hanssens, 1995. "The Persistence of Marketing Effects on Sales," Marketing Science, INFORMS, vol. 14(1), pages 1-21.
  5. Maurice W. Sasieni, 1989. "Optimal Advertising Strategies," Marketing Science, INFORMS, vol. 8(4), pages 358-370.
  6. 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.
  7. Koen Pauwels & Shuba Srinivasan, 2004. "Who Benefits from Store Brand Entry?," Marketing Science, INFORMS, vol. 23(3), pages 364-390, July.
  8. 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.
  9. repec:ner:tilbur:urn:nbn:nl:ui:12-332643 is not listed on IDEAS
  10. Maurice W. Sasieni, 1971. "Optimal Advertising Expenditure," Management Science, INFORMS, vol. 18(4-Part-II), pages P64-P72, 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. 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.
  13. repec:ner:tilbur:urn:nbn:nl:ui:12-91692 is not listed on IDEAS
  14. 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.
  15. Pesaran, M.H. & Smith, R., 1992. "Estimating Long-Run Relationships From Dynamic Heterogeneous Panels," Cambridge Working Papers in Economics 9215, Faculty of Economics, University of Cambridge.
  16. 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.
  17. Robert B. Litterman, 1984. "Forecasting and policy analysis with Bayesian vector autoregression models," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Fall.
  18. S. Baranzoni & P. Bianchi & L. Lambertini, 2000. "Market Structure," Working Papers 368, Dipartimento Scienze Economiche, Universita' di Bologna.
  19. 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.
  20. 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.
  21. 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.
  22. 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.
  23. 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).
  24. 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.
  25. Robert B. Litterman, 1984. "Above-average national growth in 1985 and 1986," Quarterly Review, Federal Reserve Bank of Minneapolis, issue Fall.
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