Probabilistic Patents, Alternative Damage Rules, and Optimal Tariffs
Apurva Dey,
Arun Kumar Kaushik and
Rupayan Pal
Journal of Institutional and Theoretical Economics (JITE), 2020, vol. 176, issue 2, 276-311
Abstract:
This paper analyzes interdependences between optimal trade policy and preferred liability doctrine to assess infringement damages, when intellectual property rights are probabilistic, in a model of import competition between a foreign patentee and a domestic infringer. It shows two reversal results. First, a regime switch from protectionism to free trade reverses stakeholders' preferences over liability doctrines. Second, the optimal trade policy changes from an import tariff under the lost-profit rule to import subsidization under the unjust-enrichment rule, unless the patent is weak. It is found that free trade is not optimal, except for a few knife-edge cases.
Keywords: probabilistic intellectual property rights; infringement; damage rules; import competition; trade policy (search for similar items in EconPapers)
JEL-codes: F13 K40 L13 O34 (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
https://www.mohrsiebeck.com/en/article/probabilist ... 101628jite-2020-0001
Fulltext access is included for subscribers to the printed version.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:mhr:jinste:urn:doi:10.1628/jite-2020-0001
Ordering information: This journal article can be ordered from
Mohr Siebeck GmbH & Co. KG, P.O.Box 2040, 72010 Tübingen, Germany
DOI: 10.1628/jite-2020-0001
Access Statistics for this article
Journal of Institutional and Theoretical Economics (JITE) is currently edited by Gerd Mühlheußer and Bayer, Ralph-C
More articles in Journal of Institutional and Theoretical Economics (JITE) from Mohr Siebeck, Tübingen
Bibliographic data for series maintained by Thomas Wolpert ().