IDEAS home Printed from https://ideas.repec.org/a/bla/stanee/v57y2003i1p46-57.html
   My bibliography  Save this article

List augmentation with model based multiple imputation: a case study using a mixed‐outcome factor model

Author

Listed:
  • Wagner A. Kamakura
  • Michel Wedel

Abstract

This study concerns list augmentation in direct marketing. List augmentation is a special case of missing data imputation. We review previous work on the mixed outcome factor model and apply it for the purpose of list augmentation. The model deals with both discrete and continuous variables and allows us to augment the data for all subjects in a company's transaction database with soft data collected in a survey among a sample of those subjects. We propose a bootstrap‐based imputation approach, which is appealing to use in combination with the factor model, since it allows one to include estimation uncertainty in the imputation procedure in a simple, yet adequate manner. We provide an empirical case study of the performance of the approach to a transaction data base of a bank.

Suggested Citation

  • Wagner A. Kamakura & Michel Wedel, 2003. "List augmentation with model based multiple imputation: a case study using a mixed‐outcome factor model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 57(1), pages 46-57, February.
    • Handle: RePEc:bla:stanee:v:57:y:2003:i:1:p:46-57
    DOI: 10.1111/1467-9574.00220
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1467-9574.00220
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1467-9574.00220?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. Wagner Kamakura & Carl Mela & Asim Ansari & Anand Bodapati & Pete Fader & Raghuram Iyengar & Prasad Naik & Scott Neslin & Baohong Sun & Peter Verhoef & Michel Wedel & Ron Wilcox, 2005. "Choice Models and Customer Relationship Management," Marketing Letters, Springer, vol. 16(3), pages 279-291, December.
    2. Bijmolt, T.H.A. & Paas, L.J. & Vermunt, J.K., 2003. "Country and Consumer Segmentation : Multi-Level Latent Class Analysis of Financial Product Ownership," Other publications TiSEM 4fa5ac68-96cf-47ca-bc95-b, Tilburg University, School of Economics and Management.
    3. Bijmolt, T.H.A. & Paas, L.J. & Vermunt, J.K., 2003. "Country and Consumer Segmentation : Multi-Level Latent Class Analysis of Financial Product Ownership," Discussion Paper 2003-75, Tilburg University, Center for Economic Research.
    4. Rajkumar Venkatesan & Alexander Bleier & Werner Reinartz & Nalini Ravishanker, 2019. "Improving customer profit predictions with customer mindset metrics through multiple overimputation," Journal of the Academy of Marketing Science, Springer, vol. 47(5), pages 771-794, September.
    5. Bijmolt, T.H.A. & Paas, L.J. & Vermunt, J.K., 2004. "Country and consumer segmentation : Multi-level latent class analysis of financial product ownership," Other publications TiSEM fb506162-d125-4091-9083-9, Tilburg University, School of Economics and Management.

    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:57:y:2003:i:1:p:46-57. 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.