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Historical patent data: A practitioner's guide
Author(s) -
Andrews Michael J.
Publication year - 2021
Publication title -
journal of economics and management strategy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.672
H-Index - 68
eISSN - 1530-9134
pISSN - 1058-6407
DOI - 10.1111/jems.12414
Subject(s) - data science , computer science , set (abstract data type) , data set , data quality , business , marketing , artificial intelligence , metric (unit) , programming language
Abstract I provide a primer on six recent large‐scale historical patent data sets for use in innovation research. I discuss how each data set is constructed, the types of patent information included in each, and the quality and completeness of each. Throughout, I emphasize when our knowledge of the history of invention is dependent on the data source used and provide recommendations about which data set is most likely to be best for different contexts. Overall, these data sets paint a remarkably consistent picture of the history of U.S. invention. When the data sets do disagree, these differences tend to be minor, although I highlight some important exceptions. I further describe several “niche” historical patent data sets that allow researchers to study institutional contexts that cannot be studied using modern data. Finally, I discuss features of patent data that are not available for the historical patents but are available for modern patents.