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Time-Series Models in Marketing

In: Handbook of Marketing Decision Models

Author

Listed:
  • Marnik G. Dekimpe

    (Tilburg University, Tilburg, The Netherlands and Catholic University Leuven)

  • Philip Hans Franses
  • Dominique M. Hanssens
  • Prasad A. Naik

Abstract

Marketing data appear in a variety of forms. An often-seen form is time-series data, like sales per month, prices over the last few years, market shares per week. Time-series data can be summarized in time-series models. In this chapter we review a few of these, focusing in particular on domains that have received considerable attention in the marketing literature. These are (1) the use of persistence modelling and (2) the use of state space models.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Marnik G. Dekimpe & Philip Hans Franses & Dominique M. Hanssens & Prasad A. Naik, 2008. "Time-Series Models in Marketing," International Series in Operations Research & Management Science, in: Berend Wierenga (ed.), Handbook of Marketing Decision Models, chapter 0, pages 373-398, Springer.
    • Handle: RePEc:spr:isochp:978-0-387-78213-3_11
    DOI: 10.1007/978-0-387-78213-3_11
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    Other versions of this item:

    • Dekimpe, M.G. & Franses, Ph.H.B.F. & Hanssens, D.M. & Naik, P., 2006. "Time-Series Models in Marketing," ERIM Report Series Research in Management ERS-2006-049-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.

    Citations

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    Cited by:

    1. Long Gao & Birendra K. Mishra, 2019. "The Role of Market Evolution in Channel Contracting," Management Science, INFORMS, vol. 67(5), pages 2432-2441, May.
    2. Sandy D. Jap & Prasad A. Naik, 2008. "BidAnalyzer: A Method for Estimation and Selection of Dynamic Bidding Models," Marketing Science, INFORMS, vol. 27(6), pages 949-960, 11-12.
    3. Sa-ngasoongsong, Akkarapol & Bukkapatnam, Satish T.S. & Kim, Jaebeom & Iyer, Parameshwaran S. & Suresh, R.P., 2012. "Multi-step sales forecasting in automotive industry based on structural relationship identification," International Journal of Production Economics, Elsevier, vol. 140(2), pages 875-887.

    More about this item

    Keywords

    Kalman Filter; Brand Equity; Price Promotion; Persistence Modeling; Lucas Critique;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C44 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Operations Research; Statistical Decision Theory
    • M - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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