How much does federally funded R&D benefit the economy? Sheila Campbell, Jaeger Nelson, Eli Schrag, Heidi Williams, and Caleb Wroblewski work through some ways of answering that question in “Estimating the Economic Effects of Federally Funded R&D” (Congressional Budget Office, Working Paper 2026-08, July 2026). (Full disclosure: Among her other roles, Williams is editor of the Journal of Economic Perspectives, and thus my boss.)
The authors use two alternative approaches to estimate the value of federal R&D investment. The “capital stock” approach views R&D like it was an investment in additional physical capital, knowing that both physical capital and knowledge have a payoff over time and that they depreciate over time. The “R&D components approach” looks at how federal R&D expands the number and education level of scientists and researchers.
The capital stock approach is “top down,” in the sense that it looks at total R&D spending. The R&D components approach is “bottom up,” in the sense that it builds up from the researchers. Both approaches require a bunch of additional assumptions, which you can read about in the paper. The approach here is not to try to decide on a single “correct” approach, or a single set of perfect assumptions, but instead to consider a range of plausible possibilities. As one example, it matters whether additional R&D funding is funded through higher government budget deficits, or whether it is done through some combination of other spending cuts and tax increases.
The authors consider a scenario in which federal R&D spending would rise by $30 billion per year over 10 years, and then use two approaches and a range of assumptions to estimate the outcome. They write: “Over a 30-year horizon, if federal funding for R&D was increased, the present value of GDP would increase by $3.57 or $3.82 for every federal dollar spent on R&D for the deficit-financed and deficit neutral scenarios, respectively.”
Here’s a figure to illustrate the results. The “capital stock” has little effect in the near term (because the overall stock of R&D capital in an economy is slow to change), but then builds up to larger effects over time. The “R&D components approach” has larger effects in the short term (because the number of researchers can increase in the short-term), but then has smaller gains over time. Using either method,, a deficit-finances approach (solid line) does slightly worse in raising GDP, because higher budget deficits will tend to reduce long-term growth.

Let’s put all this in some perspective. The US GDP is about $30 trillion in 2026 (actually a little higher, but round numbers are useful here). Thus, the thought experiment of spending $30 billion more per year involves a spending increase of about 0.1% of GDP per year–and sure enough, after about 10 years, it raises per capita GDP by about 0.1% using either approach. This may look like a wash. But notice that the estimates here are based on increasing R&D for only a 10-year period, while the benefits are projected out over 30 years. To put this another way, the current costs of an overall boost in R&D spending–like long-term investments in physical infrastructure–are more than repaid over an extended period of time. But to get the long-run payoff, you need to pay the short-term costs.







