{"title":"处方药市场的结构模型","authors":"Andrew T. Ching, Manuel Hermosilla, Qiang Liu","doi":"10.2139/ssrn.3348196","DOIUrl":null,"url":null,"abstract":"We survey the literature on structural models for the prescription drug market, which has attracted significant attention from researchers in marketing and economics, and related fields. The literature has evolved from adopting standard structural models developed for other markets to models that are specifically designed to capture the institutional details of the prescription drug market. Along the way, these empirical frameworks have not only greatly improved in terms of explaining stylized facts, but also in terms of producing better counterfactual predictions. Topics covered by this survey include the application of learning models to explain slow diffusion, post-patent expiry competition, prepatent expiry competition, R&D and new drug introduction, managerial and public policy analysis, and the economics of the Medicare Part-D program. We conclude by discussing future research directions.","PeriodicalId":170638,"journal":{"name":"Johns Hopkins Carey Business School Research Paper Series","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Structural Models of the Prescription Drug Market\",\"authors\":\"Andrew T. Ching, Manuel Hermosilla, Qiang Liu\",\"doi\":\"10.2139/ssrn.3348196\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We survey the literature on structural models for the prescription drug market, which has attracted significant attention from researchers in marketing and economics, and related fields. The literature has evolved from adopting standard structural models developed for other markets to models that are specifically designed to capture the institutional details of the prescription drug market. Along the way, these empirical frameworks have not only greatly improved in terms of explaining stylized facts, but also in terms of producing better counterfactual predictions. Topics covered by this survey include the application of learning models to explain slow diffusion, post-patent expiry competition, prepatent expiry competition, R&D and new drug introduction, managerial and public policy analysis, and the economics of the Medicare Part-D program. We conclude by discussing future research directions.\",\"PeriodicalId\":170638,\"journal\":{\"name\":\"Johns Hopkins Carey Business School Research Paper Series\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Johns Hopkins Carey Business School Research Paper Series\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3348196\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Johns Hopkins Carey Business School Research Paper Series","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3348196","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We survey the literature on structural models for the prescription drug market, which has attracted significant attention from researchers in marketing and economics, and related fields. The literature has evolved from adopting standard structural models developed for other markets to models that are specifically designed to capture the institutional details of the prescription drug market. Along the way, these empirical frameworks have not only greatly improved in terms of explaining stylized facts, but also in terms of producing better counterfactual predictions. Topics covered by this survey include the application of learning models to explain slow diffusion, post-patent expiry competition, prepatent expiry competition, R&D and new drug introduction, managerial and public policy analysis, and the economics of the Medicare Part-D program. We conclude by discussing future research directions.