Using aggregate market data to estimate patent value: An application to United States smartphones 2010 to 2015

Scott Hiller (), Scott Savage () and Donald M. Waldman

International Journal of Industrial Organization, 2018, vol. 60, issue C, 1-31

Abstract: Intellectual property and its protection is one of the most valuable assets for entrepreneurs and firms in the information economy. This article describes a relatively straightforward approach to measuring patent value with aggregate market data and the BLP model. We apply the approach to United States smartphones. The demand estimates and recovered marginal costs produce sensible simulations of equilibria prices and shares from several hypothetical patent infringements. In one simulation, the presence of near field communication on the dominant firm's flagship smartphone results in a 29% increase in profits. This estimate provides a starting point for establishing a reasonable royalty between the patent holder and the dominant firm in a hypothetical negotiation. This simulation also shows that law-abiding firms inside the market may be damaged by the dominant firm's patent infringing behavior.

Keywords: Competition; Intellectual property; Random-coefficient logit demand; Patent; Smartphones (search for similar items in EconPapers)
JEL-codes: D43 L96 O31 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:indorg:v:60:y:2018:i:c:p:1-31

DOI: 10.1016/j.ijindorg.2018.07.002

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