Structural models of the prescription drug market

著者

    • Ching, Andrew T.
    • Hermosilla, Manuel
    • Liu, Qiang

書誌事項

Structural models of the prescription drug market

Andrew T. Ching, Manuel Hermosilla, Qiang Liu

(Foundations and trends [R] in marketing, 13:1)

now Publishers, c2019

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注記

Includes bibliographical references (p. 69-80)

内容説明・目次

内容説明

Structural Models of the Prescription Drug Market provides a critical review of the structural econometric research focusing on the richness and complexity of the prescription drug market and discussing future research directions. Because a large number of papers rely on a Bayesian learning framework, Section 2 sets the stage by introducing the basic learning model that will be useful in later sections. Section 3 discusses the literature that makes use of individual level data. Section 4 discusses the literature that studies the product lifecycle, which primarily uses product level data. This is a broad set of articles, which includes studies focusing on persuasive versus informative effects, clinical outcomes, and publicity, as well as models related to pre-market behavior (such as R&D decisions and clinical trial outcomes). Section 5 addresses other related applications of structural models in this area, and Section 6 summarizes the key takeaways and discusses future research directions.

目次

1. Introduction 2. Structural Learning Models - Micro Foundations of Product Diffusion 3. Models that Rely on Individual Level Data 4. Structural Models based on Product Level Data: Product Lifecycle 5. Other Applications of Structural Models 6. Summary and Future Research References

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詳細情報

  • NII書誌ID(NCID)
    BB29917583
  • ISBN
    • 9781680836127
  • 出版国コード
    us
  • タイトル言語コード
    eng
  • 本文言語コード
    eng
  • 出版地
    Boston
  • ページ数/冊数
    80 p.
  • 大きさ
    24 cm
  • 親書誌ID
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