Data and Code for: Estimating spillovers from publicly funded R&D: Evidence from the US Department of Energy

Principal Investigator(s): View help for Principal Investigator(s) Kyle R. Myers, Harvard University; Lauren Lanahan, University of Oregon

Version: View help for Version V1

Name	File Type	Size	Last Modified
code			01/24/2023 05:24:PM
data			01/26/2023 04:44:PM
dataperm			01/24/2023 05:24:PM
out			01/24/2023 05:16:PM
README.pdf	application/pdf	287.5 KB	01/26/2023 04:27:AM
ml2022estimating_onlineappendix.pdf	application/pdf	2.7 MB	01/24/2023 08:30:AM

Project Citation:

Myers, Kyle R., and Lanahan, Lauren. Data and Code for: Estimating spillovers from publicly funded R&D: Evidence from the US Department of Energy. Nashville, TN: American Economic Association [publisher], 2023. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2023-05-25. https://doi.org/10.3886/E158762V1

Project Description

Summary: Data and Code for: Estimating spillovers from publicly funded R&D: Evidence from the US Department of Energy

Paper abstract: We quantify the magnitude of R&D spillovers created by grants to small firms from the U.S. Department of Energy. Our empirical strategy leverages variation due to state-specific matching policies, and we develop a new approach to measuring both geographic and technological spillovers that does not rely on an observable paper trail. Our estimates suggest that for every patent produced by grant recipients, three more are produced by others who benefit from spillovers. Sixty percent of these spillovers occur within the U.S., and many of them occur in technological areas substantially different from those targeted by the grants.

Scope of Project

JEL Classification:
      O31 Innovation and Invention: Processes and Incentives
      O33 Technological Change: Choices and Consequences; Diffusion Processes
      O38 Technological Change: Government Policy

Related Publications

Download this project

Published Versions

V1 [2023-05-25]

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

This material is distributed exactly as received from the data depositor. As of April 2026, depositors are required to submit study materials in accessible formats. ICPSR has not reviewed, checked, or processed this material. For additional information about the study, please contact the investigator(s) directly. If you have questions about the accessibility of materials distributed by ICPSR or require further assistance, please visit ICPSR's Accessibility Center.