Although the short- to medium-term monetary policy outlook is still murky due to the uncertainty stemming from the Middle East conflict, new Fed Chair Kevin Warsh has been advocating that the ensuing productivity boom will allow the economy to grow more rapidly without price pressures, implying structurally lower policy rates. The intuition is appealing, as it suggests that a sustained period of higher productivity can spearhead longer-term disinflation if the economy can produce more of the same amount – or even fewer – inputs, leading to increased output at lower prices.
The story may not be as simple as it appears. Some recent commentary from FOMC members argues that it’s not necessarily axiomatic that productivity boom lowers inflation, hence lowers equilibrium interest rates; the relationship is more ambiguous. For example, if the economy were to find itself on the cusp of a productivity boom, firms and households – anticipating higher gains from productivity growth – could be encouraged to spend more on capital investment and consumption, respectively. Higher demand for investment capital could drive up borrowing costs as the market’s demand for financing increases, pushing risk-free rates higher. Anticipating higher wages from higher returns to productivity could lead to increased consumption at present, leading to demand-driven inflation, requiring higher policy rates.
Exhibit 1 shows the Federal Reserve Bank of New York’s widely accepted estimate of r*, the “natural” or neutral rate of interest over time, alongside the Federal Reserve of San Francisco’s quarterly measure of total factor productivity. Note the late 1990s, when productivity boomed thanks to the internet and broader telecommunications expansion. The New York Fed’s estimate of r* also increased. During this period, then-Fed Chairman Greenspan held off from raising rates, but didn’t cut them after 1995. Indeed, we actually witnessed rate hikes in mid-1999.
Measuring productivity is another challenge for monetary policy. Exhibit 2 shows two different productivity measures, reflecting two different concepts. The blue line represents nonfarm labor productivity, essentially the ratio of output growth divided by growth in labor inputs (defined as hours worked). Setting the December 2022 level to 100, we calculate the cumulative growth in labor productivity since just before the pandemic – it displays impressive growth over the last six years. However, the orange line, which measures total factor productivity (TFP), reveals much more modest growth over the same period. TFP measures how much output grows given changes in the total productive capacity of the economy, not just labor inputs. This includes capital, infrastructure and other intangibles that can create broad productivity gains.
One reason labor productivity has grown so much faster than TFP is the post-Covid dynamics of the labor force. As the economy reopened in 2021, and more so in 2022, the economy was characterized by rapid employment growth as firms sought to add labor to meet the increase in demand. This period of rapidly rising output coincided with rapid increases in labor inputs, and the labor productivity numbers were actually quite mediocre – the numerator of the productivity ratio (GDP growth) didn’t grow much relative to the denominator (hours worked). After 2023, labor demand stabilized, and labor supply also flattened out. As GDP grew, labor inputs didn’t, so the labor productivity ratio leaped ahead. By contrast, TFP hasn’t moved much faster than its trend implies. This contrasts with the 1990s, when both series moved higher, almost in lockstep.
We’re not so naïve as to argue that there is no productivity boom to come. It’s quite likely to show up in the data before long. We’re saying it may be too early to conclude it’s already upon us; all things being equal, rates can fall. We may be mismeasuring productivity currently, and the anticipation of the coming boom could be altering investment and spending behavior, leading to higher pressure on both rates and inflation.