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Empirical Models of Learning Dynamics: A Survey of Recent Developments

In: Handbook of Marketing Decision Models

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Listed:
  • Andrew T. Ching

    (University of Toronto)

  • Tülin Erdem

    (New York University)

  • Michael P. Keane

    (University of Oxford)

Abstract

There is now a very large literature on dynamic learning modelsDynamic models in marketing. Learning dynamics can be broadly defined as encompassing any process whereby the prior history of a consumer or market affects current utility evaluations (e.g., social learning, search, correlated learning, information spillover, etc.). In the present chapter, we focus on discussing this rapidly growing literature that deals with this broader view of learning dynamics.

Suggested Citation

  • Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2017. "Empirical Models of Learning Dynamics: A Survey of Recent Developments," International Series in Operations Research & Management Science, in: Berend Wierenga & Ralf van der Lans (ed.), Handbook of Marketing Decision Models, edition 2, chapter 0, pages 223-257, Springer.
    • Handle: RePEc:spr:isochp:978-3-319-56941-3_8
    DOI: 10.1007/978-3-319-56941-3_8
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