Measuring the Private and Social Returns to R&D: Unintended Spillovers versus Technology Markets

S-Tier
Journal: Journal of Political Economy
Year: 2022
Volume: 130
Issue: 7
Pages: 1860 - 1918

Authors (2)

Pere Arqué-Castells (not in RePEc) Daniel F. Spulber (Northwestern University)

Score contribution per author:

4.022 = (α=2.01 / 2 authors) × 4.0x S-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

The canonical approach to measuring private and social returns to R&D assumes diffusion through spillovers. We develop a general framework that allows R&D to diffuse through both spillovers and voluntary technology transfers. To operationalize the framework, we create a data set of interactions in the market for technology between publicly held US firms. We use changes in tax incentives for R&D to identify causal effects. Taking market channels into account decreases the observed difference between social and private returns to R&D as compared with the canonical approach. The analysis suggests significant gains from trade in markets for technology.

Technical Details

RePEc Handle
repec:ucp:jpolec:doi:10.1086/719908
Journal Field
General
Author Count
2
Added to Database
2026-01-29