Current Seminars

 

Webinar by Stefan Wagner: Patents, Data Exclusivity, and the Development of New Drugs

SPEAKER

Stefan Wagner

ESMT European School of Management and Technology, Berlin

 

 

 

 

 

 

 

 

 

 

DATE

April the 24th, 2018 -

11:00 GMT to 12:00 GMT.

 

LOCATION

Event will be held online

TECHNIS is pleased to invite you to a free webinar. TECHNIS webinars focus on IP and innovation examining recent legal, economic, managerial, ethical and policy issues related to technological innovation. Our approach is interdisciplinary and presentations are given by experts in different fields such as economics, law, management, STS, sociology, anthropology and philosophy. Webinar presentations last for 20min and are followed by a 40min discussion.

Please join us for a webinar on Tuesday the 24th of April 2018 at 11:00 GMT. The speaker is Stefan Wagner, ESMT European School of Management and Technology, Berlin.

 

The title of the talk is “Patents, Data Exclusivity, and the Development of New Drugs”.

 

The moderator will be Dr. Andreas Panagopoulos.

 

The program we use to deliver webinars is called VSee and you can easily download it for free. A very short demo of VSee can be found at https://www.youtube.com/watch?v=nDb7-Mrz0L4.

 

This webinar is free and open to all.

 

To participate and for further information, please contact Dr. Andreas Panagopoulos at least a day prior to the seminar.

 

Abstract: Firms in the pharmaceutical industry typically rely on a period of market exclusivity derived from patent protection and data exclusivity to recoup their investments in R&D. The invalidation of patent rights during drug development renders data exclusivity the sole source of protection and shifts the period of market exclusivity on the project level. Invalidation therefore constitutes a natural experiment that allows us to identify how the duration of market exclusivity affects firms’ incentives to innovate. Our analysis is based on a novel data set that links the development histories of drug candidates with underlying patent data. We identify causal effects relying on an instrument for the potentially endogenous patent invalidation. Our findings highlight that shorter durations of market exclusivity reduce the likelihood of successful drug commercialization.

 

 

 

 

 

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