Adam Jaffe

This Chapter surveys the findings of social science research on the contribution of universities to innovation and economic growth, both locally/regionally and globally. In the last several decades research has demonstrated universities’ causal effects through the mechanisms of knowledge creation, education and training of students, and technology transfer/entrepreneurship. The Chapter summarizes how the literature has studied each of these mechanisms, and how the findings have probed variation across disciplines and economic sectors. The depth and breadth of understanding have been advanced by new microdata and new methods of linking data across inventions, scientists and institutions, and by application of methods from network science. We emphasize that research has proven the importance of these effects on average, but to date has less to say about the determinants of success or failure in different contexts. These findings have implications for public policy to foster innovation both regionally and globally.Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org .

This paper overviews the data collection procedures and resulting data for inventor ages and associated death dates. We use information about inventors from patents (name and location) and search for age and date of death information from publicly available online web directories and build a scoring system to indicate the quality of information that we collect. After applying a variety of heuristics and robustness checks, we are confident of 1,508,676 inventor ages associated with patents granted between 1976 and 2018. We also find the death dates of 206,589 inventors, though we are not as confident of the accuracy of the death information. The datasets and associated replication files are freely available at: https://doi.org/10.7910/DVN/YRLSKU Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.

This paper overviews the data collection procedures and resulting data for inventor ages and associated death dates. We use information about inventors from patents (name and location) and search for age and date of death information from publicly available online web directories and build a scoring system to indicate the quality of information that we collect. After applying a variety of heuristics and robustness checks, we are confident of 1,508,676 inventor ages associated with patents granted between 1976 and 2018. We also find the death dates of 206,589 inventors, though we are not as confident of the accuracy of the death information. The datasets and associated replication files are freely available at: https://doi.org/10.7910/DVN/YRLSKU