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Patent Trolls and Small Business Employment

Authors: Ian Appel; Joan Farre-Mensa; Elena Simintzi;

Patent Trolls and Small Business Employment

Abstract

We analyze how frivolous patent-infringement claims made by “patent trolls” affect small firms’ ability to create jobs, raise capital, and survive. Our identification strategy exploits the staggered passage of anti-patent-troll laws at the state level. We find that the passage of this legislation leads to a 1.8% increase in employment at small firms in high-tech industries, which are a frequent target of patent trolls. By contrast, the laws have no significant impact on employment at larger or non high-tech firms. Anti-troll legislation is also associated with fewer business bankruptcies. Financing appears to be a key channel driving our findings: in states with an already established VC presence, the passage of anti-troll laws leads to a 19% increase in the number of firms receiving VC funding. Consistent with this financing channel, we find that the effect of patent laws on employment is driven by states with above-median VC presence. Our findings suggest that measures aimed at curbing the recent explosion in patent litigation may play an important role in reducing both real and financing frictions faced by small businesses.

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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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