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Working Paper
The Returns to Government R&D: Evidence from U.S. Appropriations Shocks
Based on a narrative classification of all significant postwar changes in R&D appropriations for five major federal agencies, we find that an increase in nondefense R&D appropriations leads to increases in various measures of innovative activity and higher business-sector productivity in the long run. We structurally estimate the production function elasticity of nondefense government R&D capital using the SP-IV methodology of Lewis and Mertens (2023) and obtain implied returns of 150 to 300 percent over the postwar period. The estimates indicate that government-funded R&D accounts for one ...
Working Paper
The Returns to Government R&D: Evidence from U.S. Appropriations Shocks
We estimate the causal impact of government-funded R&D on business-sector productivity growth. Identification is based on a novel narrative classification of all significant postwar changes in appropriations for R&D funded by five major federal agencies. Using long-horizon local projections and the narrative measures, we find that an increase in appropriations for nondefense R&D leads to increases in various measures of innovative activity, and higher productivity in the long run. We structurally estimate the production function elasticity of nondefense government R&D capital using the SP-IV ...
Working Paper
A Narrative Analysis of Federal Appropriations for Research and Development
This paper provides a narrative analysis of postwar federal appropriations for the research and development (R&D) activities of the Department of Defense, Department of Energy, National Aeronautics and Space Administration, National Institutes of Health and National Science Foundation—five agencies that consistently account for the vast majority of federal outlays for all types of R&D. We build a novel dataset quantifying the enacted full-year appropriations for all budgetary accounts funding R&D activities at these five agencies over fiscal years 1947-2019. We use this dataset to isolate a ...