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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Health Economicsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Health Economics
Article . 2020 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Health Economics
Article . 2021
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Reverse payments, patent strength, and asymmetric information

Authors: Anton‐Giulio Manganelli;

Reverse payments, patent strength, and asymmetric information

Abstract

AbstractReverse payments (pay‐for‐delay) are payments from an originator to a generic pharmaceutical producer to settle a potential litigation. In many jurisdictions, these payments are banned. This study shows that when the parties' investments are considered and the information about the patent strength is asymmetric, reverse payments increase both the possibility of generic entry and the litigation rate—both of which increase consumer surplus and do not necessarily delay generic entry. Reverse payments typically increase consumer surplus when the asymmetry between the parties is low, the competitiveness in the market is soft, and their size is small. Results suggest that a ban per se may be suboptimal.

Keywords

Drug Industry, Drugs, Generic, Humans, United States

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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