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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
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.
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This title is printed to order. This book may have been self-published. If so, we cannot guarantee the quality of the content. In the main most books will have gone through the editing process however some may not. We therefore suggest that you be aware of this before ordering this book. If in doubt check either the author or publisher’s details as we are unable to accept any returns unless they are faulty. Please contact us if you have any questions.
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.