Throughout the twentieth century, steady technological and organizational innovations, along with the accumulation of productive capital, increased labor productivity at a steady rate of around 2 percent per year. However, the past two decades have witnessed a slowdown in labor productivity, measured as value added per hour worked or sectoral output per hour worked. This slowdown has been particularly stark in the manufacturing sector, which historically has been a leading sector in driving the productivity of the aggregate U.S. economy. What makes this slowdown particularly puzzling is the fact that manufacturing accounts for the majority of U.S. research and development (R&D) expenditure. Despite several recent studies (see, for example, Syverson [2016]), much remains to be uncovered about the nature of this slowdown. This post illustrates a key facet of the mystery: the productivity slowdown appears to be pervasive across industries and across firms of various sizes.
On the Distributional Consequences of Responding Aggressively to Inflation
This post discusses the distributional consequences of an aggressive policy response to inflation using a Heterogeneous Agent New Keynesian (HANK) model. We find that, when facing demand shocks, stabilizing inflation and real activity go hand in hand, with very large benefits for households at the bottom of the wealth distribution. The converse is true however when facing supply shocks: stabilizing inflation makes real outcomes more volatile, especially for poorer households. We conclude that distributional considerations make it much more important for policy to take into account the tradeoffs between stabilizing inflation and economic activity. This is because the optimal policy response depends very strongly on whether these tradeoffs are present (that is, when the economy is facing supply shocks) or absent (when the economy is facing demand shocks).
On the Distributional Effects of Inflation and Inflation Stabilization
This post and the next discuss the distributional effects of inflation and inflation stabilization through the lenses of a theoretical model—a Heterogeneous Agent New Keynesian (HANK) model. This model combines the features of New Keynesian models that have been the workhorse for monetary policy analysis since the work of Woodford (2003) with inequality in wealth and income at the household level following the seminal contribution of Kaplan, Moll, and Violante (2018). We find that while inflation hurts everyone, it hurts the poor in particular. When the source of inflation is a supply shock, fighting inflation aggressively hurts the poor even more, however, while the opposite is true for demand shocks, as discussed in the companion post.
Exploring the TIPS‑Treasury Valuation Puzzle
Since the late 1990s, the U.S. Treasury has issued debt in two main forms: nominal bonds, which provide fixed-cash scheduled payments, and Treasury Inflation Protected Securities—or TIPS—which provide the holder with inflation-protected payments that rise with U.S. inflation. At the heart of their relative valuation lie market participants’ expectations of future inflation, an object of interest for academics, policymakers, and investors alike. After briefly reviewing the theoretical and empirical links between TIPS and Treasury yields, this post, based on a recent research paper, explores whether market perceptions of U.S. sovereign credit risk can help explain the relative valuation of these financial instruments.
Deciphering the Disinflation Process
U.S. inflation surged in the early post-COVID period, driven by several economic shocks such as supply chain disruptions and labor supply constraints. Following its peak at 6.6 percent in September 2022, core consumer price index (CPI) inflation has come down rapidly over the last two years, falling to 3.6 percent recently. What explains the rapid shifts in U.S. inflation dynamics? In a recent paper, we show that the interaction between supply chain pressures and labor market tightness amplified the inflation surge in 2021. In this post, we argue that these same forces that drove the nonlinear rise in inflation have worked in reverse since late 2022, accelerating the disinflationary process. The current episode contrasts with periods where the economy was hit by shocks to either imported inputs or to labor alone.
The Growing Risk of Spillovers and Spillbacks in the Bank‑NBFI Nexus
Nonbank financial institutions (NBFIs) are growing, but banks support that growth via funding and liquidity insurance. The transformation of activities and risks from banks to a bank-NBFI nexus may have benefits in normal states of the world, as it may result in overall growth in (especially, credit) markets and widen access to a wide range of financial services, but the system may be disproportionately exposed to financial and economic instability when aggregate tail risk materializes. In this post, we consider the systemic implications of the observed build-up of bank-NBFI connections associated with the growth of NBFIs.
Banks and Nonbanks Are Not Separate, but Interwoven
In our previous post, we documented the significant growth of nonbank financial institutions (NBFIs) over the past decade, but also argued for and showed evidence of NBFIs’ dependence on banks for funding and liquidity support. In this post, we explain that the observed growth of NBFIs reflects banks optimally changing their business models in response to factors such as regulation, rather than banks stepping away from lending and risky activities and being substituted by NBFIs. The enduring bank-NBFI nexus is best understood as an ever-evolving transformation of risks that were hitherto with banks but are now being repackaged between banks and NBFIs.
The New York Fed DSGE Model Forecast—June 2024
This post presents an update of the economic forecasts generated by the Federal Reserve Bank of New York’s dynamic stochastic general equilibrium (DSGE) model. We describe very briefly our forecast and its change since March 2024. As usual, we wish to remind our readers that the DSGE model forecast is not an official New York Fed forecast, but only an input to the Research staff’s overall forecasting process. For more information about the model and variables discussed here, see our DSGE model Q & A.