How important is open-source science for invention speed

Tan Tran () and Evens Salies
Additional contact information
Tan Tran: ICD International Business School Paris

Working Papers from HAL

Abstract: This study asks whether not citing open-source science lowers invention speed. We use unique observational data from clinical trial projects submitted during the early months of the Covid-19 epidemic. To estimate the effect of open-source science on invention speed we employ matching methods combined with regression. Our results show that, on average, projects relying on open-source science can be accelerated by 51 days. We also estimate the effect of open-source science within the subsample of control projects. The effect, however, is lower than for projects using open-source science.

Keywords: treatment effects; variables selection algorithm; open-source science; open science (search for similar items in EconPapers)
Date: 2023-10
Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-04239561
References: Add references at CitEc
Citations:

Downloads: (external link)
https://sciencespo.hal.science/hal-04239561/document (application/pdf)

Related works:
Working Paper: How important is open-source science for invention speed (2023)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:wpaper:hal-04239561

Access Statistics for this paper

More papers in Working Papers from HAL
Bibliographic data for series maintained by CCSD ().