IDEAS home Printed from https://ideas.repec.org/a/bla/stanee/v62y2008i2p208-229.html
   My bibliography  Save this article

Pooling data for the analysis of dynamic marketing systems

Author

Listed:
  • Csilla Horváth
  • Jaap E. Wieringa

Abstract

Vector autoregressive (VAR) models have become popular in marketing literature for analyzing the behavior of competitive marketing systems. One drawback of these models is that the number of parameters can become very large, potentially leading to estimation problems. Pooling data for multiple cross‐sectional units (stores) can partly alleviate these problems. An important issue in such models is how heterogeneity among cross‐sectional units is accounted for. We investigate the performance of several pooling approaches that accommodate different levels of cross‐sectional heterogeneity in a simulation study and in an empirical application. Our results show that the random coefficients modeling approach is an overall good choice when the estimated VAR model is used for out‐of‐sample forecasting only. When the estimated model is used to compute Impulse Response Functions, we conclude that one should select a modeling approach that matches the level of heterogeneity in the data.

Suggested Citation

  • Csilla Horváth & Jaap E. Wieringa, 2008. "Pooling data for the analysis of dynamic marketing systems," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 62(2), pages 208-229, May.
    • Handle: RePEc:bla:stanee:v:62:y:2008:i:2:p:208-229
    DOI: 10.1111/j.1467-9574.2007.00382.x
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/j.1467-9574.2007.00382.x
    Download Restriction: no
    File URL: https://libkey.io/10.1111/j.1467-9574.2007.00382.x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sismeiro, Catarina & Mizik, Natalie & Bucklin, Randolph E., 2012. "Modeling coexisting business scenarios with time-series panel data: A dynamics-based segmentation approach," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 134-147.
    2. 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.
    3. Sood, Ashish & Kappe, Eelco & Stremersch, Stefan, 2014. "The commercial contribution of clinical studies for pharmaceutical drugs," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 65-77.
    4. Nukhet Harmancioglu & Gerard J Tellis, 2018. "Silicon envy: How global innovation clusters hurt or stimulate each other across developed and emerging markets," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 49(7), pages 902-918, September.
    5. Maier, Erik & Wieringa, Jaap, 2021. "Acquiring customers through online marketplaces? The effect of marketplace sales on sales in a retailer's own channels," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 311-328.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bla:stanee:v:62:y:2008:i:2:p:208-229. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Wiley Content Delivery (email available below). General contact details of provider: http://www.blackwellpublishing.com/journal.asp?ref=0039-0402 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.