Empirical models of learning dynamics: A survey of recent developments

Andrew Ching, Tülin Erdem, Michael P. Keane

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

There is now a very large literature on dynamic learning 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.

Original languageEnglish (US)
Title of host publicationInternational Series in Operations Research and Management Science
PublisherSpringer New York LLC
Pages223-257
Number of pages35
DOIs
Publication statusPublished - Jan 1 2017
Externally publishedYes

Publication series

NameInternational Series in Operations Research and Management Science
Volume254
ISSN (Print)0884-8289

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ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Strategy and Management
  • Management Science and Operations Research
  • Applied Mathematics

Cite this

Ching, A., Erdem, T., & Keane, M. P. (2017). Empirical models of learning dynamics: A survey of recent developments. In International Series in Operations Research and Management Science (pp. 223-257). (International Series in Operations Research and Management Science; Vol. 254). Springer New York LLC. https://doi.org/10.1007/978-3-319-56941-3_8