The cliometric study of innovations

10Citations
Citations of this article
4Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Per definition, cliometric studies of innovations use statistical methods to analyze large quantities of data. That is why historical patent statistics have become the standard measure for innovation. I first discuss the advantages and shortcomings of patent data and then show that the distribution of patents across countries, regions, or inventors is characterized by two salient features: its skewness and its persistence over time. To explain these features, the influence of various supplyside, demand-side, and institutional factors will be discussed. I will stress the importance of path dependency. This chapter ends with a closer look at technological transfer that came along with patent assignments and foreign patenting.

Cite

CITATION STYLE

APA

Streb, J. (2016). The cliometric study of innovations. In Handbook of Cliometrics (pp. 447–468). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-40406-1_18

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free