- We will send in 10–14 business days.
/images/books/11784950/9781680836127.jpg)
- Author: Andrew T Ching
- Publisher: Now Publishers
- Year: 2019
- Pages: 88
- ISBN-10: 1680836129
- ISBN-13: 9781680836127
- Format: 15.6 x 23.4 x 0.5 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
Reviews
Description
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.
EXTRA 10 % discount with code: EXTRA
The promotion ends in 21d.16:13:39
The discount code is valid when purchasing from 10 €. Discounts do not stack.
- Author: Andrew T Ching
- Publisher: Now Publishers
- Year: 2019
- Pages: 88
- ISBN-10: 1680836129
- ISBN-13: 9781680836127
- Format: 15.6 x 23.4 x 0.5 cm, minkšti viršeliai
- Language: English English
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.
Reviews