G2TT
来源类型Discussion paper
规范类型论文
来源IDDP5850
DP5850 Gravity for Dummies and Dummies for Gravity Equations
Richard Baldwin; Daria Taglioni
发表日期2006-09-23
出版年2006
语种英语
摘要The goal of this paper is to lay out a methodology and corresponding computer algorithms, that allow us to extract the detailed data on inventors contained in patents, and harness it for economic research. Patent data has long been used in empirical research in economics, and yet the information on the identity (i.e. the names and location) of the patents? inventors has seldom been deployed in a large scale, primarily because of the ?who is who? problem: the name of a given inventor may be spelled differently across her/his patents, and the exact same name may correspond to different inventors (i.e. the ?John Smith? problem). Given that there are over 2 million patents with 2 inventors per patent on average, the ?who is who? problem applies to over 4 million ?records?, which is obviously too large to tackle manually. We have thus developed an elaborate methodology and computerized procedure to address this problem in a comprehensive way. The end result is a list of 1.6 million unique inventors from all over the world, with detailed data on their patenting histories, their employers, co-inventors, etc. Forty percent of them have more than one patent, and 70,000 have more than 10 patents. We can trace those multiple inventors across time and space, and thus study the causes and consequences of their mobility across countries, regions, and employers. Given the increasing availability of large computerized data sets on individuals, there may be plenty of opportunities to deploy this methodology to other areas of economic research as well.
主题Industrial Organization
关键词Patents Inventors Mobility Computer software
URLhttps://cepr.org/publications/dp5850
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/534688
推荐引用方式
GB/T 7714
Richard Baldwin,Daria Taglioni. DP5850 Gravity for Dummies and Dummies for Gravity Equations. 2006.
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