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SSRN Electronic Journal
Article . 2016 . Peer-reviewed
Data sources: Crossref
https://doi.org/10.4337/978178...
Part of book or chapter of book . 2019 . Peer-reviewed
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Experiments in Intellectual Property

Authors: Christopher Buccafusco; Christopher Jon Sprigman;

Experiments in Intellectual Property

Abstract

Perhaps more than any other area, intellectual property (IP) law is grounded in assumptions about how people behave. These assumptions involve how creators respond to incentives, how rights are licensed in markets, and how people decide whether to innovate or borrow from the culture and technologies that they see around them. Until recently, there had been little effort to validate any of these assumptions. Fortunately, the last decade has witnessed significant interest in empirically testing IP law’s foundations. This Chapter discusses the use of experimental and survey methods to understand how various features of copyright and patent law affect behavior. These methods are a valuable addition to the empirical toolkit, because they allow researchers to ask and answer questions that are not generally possible to approach with other empirical strategies. We first discuss some of the advantages of using experimental research. Then we highlight some of the findings that this research has produced in the copyright and patent fields thus far. Finally, we explore a variety of methodological issues that experimental researchers face.

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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!
3
Average
Average
Average
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